Air Quality Assessment – 290 Mtpa...Figure 6.1: BHP Billiton Iron Ore Sources at Nelson Point 21...

Final Report

Air Quality Assessment – 290 Mtpa

BHP BILLITON IRON ORE PORT OPERATIONS

Job ID. 20851

15 September 2016

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Job ID 20851 | AQU-WA-003-20851

PROJECT NAME: AIR QUALITY ASSESSMENT – 290 MTPA

JOB ID: 20851

DOCUMENT CONTROL NUMBER AQU-WA-003-20851

PREPARED FOR: BHP Billiton Iron Ore Port Operations

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located at www.pacific-environment.com © Pacific

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VERSION DATE COMMENT PREPARED BY REVIEWED BY

A 08.03.16 Draft

B 20.08.16 Draft

1 01.09.16 Final

2 15.09.16 Final

Pacific Environment Operations Pty Ltd ABN 86 127 101 642

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Job ID 20851 | AQU-WA-003-20851

EXECUTIVE SUMMARY

Project Description

This report has been produced to support a proposed amendment to BHP Billiton Iron Ore’s existing

operating licence (L4513/1969/18) for its Port Hedland operations issued under Part V of the

Environmental Protection Act 1986. The licence amendment application seeks to increase nominated

throughput up to 290Mtpa.

This report represents the transition from AUSPLUME using 2004/2005 financial year meteorology and

background data to AERMOD using meteorological and background data from 2013. This transition is a

result of the Port Hedland Industry Council (PHIC) review of available atmospheric dispersion air models

(PEL, 2015). To assist in the transition this report has modelled the previously approved 270Mtpa scenario

updated to the 2013 model year to provide a base, or reference point.

Modelling of cumulative emissions was also undertaken as part of this assessment. Emissions from the

Pilbara Ports Authority (PPA) Nelson Point and Utah Point operations, the proposed expansion operations

at Anderson Point by Fortescue Metals Group (FMG), Roy Hill operations and North West Iron Ore Alliance

operations (both at South West Creek) were also included.

Overview of the Assessment

Air quality criteria provide the framework to assess the effects of existing and predicted emissions on

human health, the environment and occupational health requirements. The criteria used for the study

have been derived from Ministerial Statement 740 (as amended 9 July 2013 via a section 45C). The dust

performance targets prescribed in Ministerial Statement 740 (MS740) are based upon concentrations

measured at the Taplin Street monitoring site which provided greater alignment with the air quality

requirements recommended by the Port Hedland Dust Management Taskforce. Targets for both a short

term average and long term average have been set and are detailed in ES-1.

Table ES-1: Approved dust performance targets (MS740)

Performance Aspect Performance Target

Air Quality Related – Long Term

Average a

Improvement in the annual average PM10 monitored at the Taplin Street

site to a long-term target of 30 g/m3.

Air Quality Related – Short Term

Average

Improvement in the 24 hour average PM10 monitored at the Taplin Street

site with the aim to work towards a cumulative target of 70 g/m3 with less

than 10 exceedances per year.

Note: (a) Applicable for emissions from BHP Billiton Iron Ore sources together with background.

Air quality impacts from operations have been modelled using the USEPA AERMOD computer dispersion

model (version 9.1.0). All modelling was conducted using the exact same setup as that outlined in the

Port Hedland Industry Council (PHIC) Cumulative Air Model (CAM) report undertaken by Pacific

Environment Limited (PEL) in 2015.

BHP Billiton Iron Ore is committed to managing particulate emissions from export operations. As part of its

current operations BHP Billiton Iron Ore routinely undertakes extensive dust mitigation which includes the

following methods:

stockyard cannons;

bulk ore conditioning (BOC) sprays;

enclosure and dust extraction on all proposed car dumpers;

where possible or practicable seal roads with extensive cleaning regime;

belt wash stations on selected conveyors;

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fogging sprays at selected transfer stations and rescreening plants;

water sprays on all luffing/slewing stackers, reclaimers and shiploaders; and

addition of gravel to unsealed open areas to reduce wind erosion

90% availability of wet scrubbers at transfer stations and LRPs’

90% availability of water sprays on stackers, reclaimers and shiploaders; and

An improvement in the availability of belt wash stations and internal fogging systems from 75%

to 90%.

Additional dust abatement for this assessment included:

inclusion of wet scrubbers on TS26, TS800 and TS808 (40% reduction with an availability of 90%);

decrease in stacker height which will reduce the drop height and reduce the wind erosion

potential from stackers, particularly when MAC fines are being handled; and

New fogging systems, accounting for a 40% reduction, fitted to the following transfer stations:

o TS775

o TS502

o TS563

o TS603

o TS503

A direct ship ore (DSO) of 44% was applied with approximately 125 Mtpa of ore directly shipped.

Additional road sealing and coarse material along sections of roads (within zones 3, 4 and 5) at

Nelson Point.

Key findings – Conclusions and Recommendations

Modelling of the proposed throughput of 290Mtpa (with background) indicates that:

The model predicts one excursion of the 24-hour criteria at Taplin Street - which is due to a single

high concentration associated with the background file. As the number of exceedances falls

below the target of less than 10, the PM10 criteria is predicted to be met

The annual PM10 target is predicted to be met at the Taplin Street receptor

When the predicted concentrations of the 270Mtpa and 290Mtpa scenarios are compared it is

apparent that annual average concentration at Taplin Street remain the same. This is achieved

by operational changes that BHP Billiton Iron Ore is proposing to achieve the required

throughput, along with the additional dust abatement proposed above.

For the cumulative scenarios the model is predicting no additional excursions of the short term

criteria at Taplin Street with the introduction of the 290Mtpa scenario.

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CONTENTS

1 INTRODUCTION 7 1.1 Background 7 1.2 Objectives of the Study 7 1.3 Scope of Work 7

2 PROJECT DESCRIPTION 8

3 DUST ASSESSMENT CRITERIA 9 3.1 Dust 9 3.2 Ministerial Conditions 9 3.3 Environmental Protection Act 1986 Licence 9 3.4 Assessment Criteria Used 10

4 CLIMATE, METEOROLOGY AND AMBIENT AIR QUALITY 11 4.1 Climate of the Pilbara Region 11 4.2 Review of Meteorological Data 11 4.3 Dispersion model 11 4.4 Existing Air Quality in Port Hedland 12

5 EMISSION ESTIMATION 14 5.1 Emission Estimation Process 14 5.2 270Mtpa Process Information 15 5.3 290Mtpa Process Information 16 5.4 Emission Controls 17

5.4.1 Standard Emission Controls 17 5.5 Emission Estimates for BHP Billiton Iron Ore Operations 17

5.5.1 270Mtpa and 290Mtpa Production Scenarios 17 5.6 Cumulative Emission Sources (non BHP Billiton Iron Ore Sources) 19

6 MODELLING METHODOLOGY 20 6.1 Modelling Approach 20 6.2 AERMOD Modelling 20 6.3 Meteorological File 20 6.4 Grid System 21 6.5 Sources 21 6.6 Discrete Receptors 23

7 MODELLING RESULTS 25 7.1 BHP Billiton Iron Ore Dust Impact (PM10) – 270Mtpa (Base Case) 25 7.2 BHP Billiton Iron Ore Future Dust Impact (PM10) – 290Mtpa 31 7.3 Cumulative Dust Impact (PM10) 36

8 CONCLUSIONS 39

9 REFERENCES 41

APPENDIX A EMISSION ESTIMATION A-1

APPENDIX B MODEL CALIBRATION AND VALIDATION B-1

APPENDIX C DUST MITIGATION STUDIES C-1

APPENDIX D VARIABLE EMISSIONS FILES D-1

APPENDIX E AERMOD MODEL OUTPUT FILE E-1

APPENDIX F SOURCE PARAMETERS F-1

APPENDIX G 2013 METEOROLOGICAL FILE G-1

APPENDIX H SOURCE CONTROLS H-1

APPENDIX I ONSITE DUST EMISSION TESTING AND MODEL UPDATE I-1

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List of Figures

Figure 4-1: 24-hour PM10 concentration at BoM monitoring location (µg/m3) 12

Figure 4-2: 24-hour PM10 background concentration for 2013 (µg/m3) 13

Figure 5.1: Calculated PM10 Emission Rates for 270Mtpa 18

Figure 5.2: Calculated PM10 Emission Rates for 290Mtpa 19

Figure 6.1: BHP Billiton Iron Ore Sources at Nelson Point 21

Figure 6.2: BHP Billiton Iron Ore Sources at Finucane Island 22

Figure 6.3: Cumulative Sources at Port Hedland 23

Figure 6.4: Sensitive Receptor Location – Port Hedland Study Area 24

Figure 7.1: Maximum predicted 24-hour PM10 concentrations for the 270Mtpa scenario (without

background) 27

Figure 7.2: Maximum predicted 24-hour PM10 concentrations for the 270Mtpa scenario (with

background) 28

Figure 7.3: Number of excursions above 70 µg/m3 for the 270Mtpa scenario (with background) 29

Figure 7.4: Annual average predicted PM10 concentrations for the 270Mtpa scenario (with background)

30

Figure 7.5: Maximum predicted 24-hour PM10 concentrations for the proposed 290Mtpa (without

background) 32

Figure 7.6: Maximum predicted 24-hour PM10 concentrations for the proposed 290Mtpa scenario (with

background) 33

Figure 7.7: Number of excursions above 70 µg/m3 for the proposed 290Mtpa scenario (with

background) 34

Figure 7.8: Annual average predicted PM10 concentrations for the proposed 290Mtpa scenario (with

background) 35

Figure 7.9: Number of excursions above 70 µg/m3 for Cumulative, BHPBIO 270Mtpa scenario (with

background) 37


background) 38

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1 INTRODUCTION

1.1 Background

Consistent with the Company’s stated productivity agenda, BHP Billiton Iron Ore Pty Ltd (BHP Billiton Iron

Ore) has moved from a phase of major capital growth to a focus on productivity and low-capital

expansion to optimise its supply chain and increase the capacity of the inner harbour in Port Hedland.

As part of this shift, BHP Billiton Iron Ore is proposing a series of initiatives to progressively increase the

production throughput of its inner harbour infrastructure up to 290 million tonnes per annum (Mtpa).

This increase is planned to be delivered through on-going improvements in the utilisation of existing plant

and equipment and some minor upgrades to existing equipment. This report has been produced for this

proposed increase up to 290Mtpa and will support an amendment to BHP Billiton Iron Ore’s existing

operating licence (L4513/1969/18) issued under Part V of the Environmental Protection Act 1986.

1.2 Objectives of the Study

This report outlines the methodology for the emission estimation and the atmospheric modelling of the

predicted dust impacts associated with the proposed increase in production up to 290Mtpa. The report

also presents the predicted ground level concentrations of dust with the proposed changes, and makes

comparisons to the dust performance targets outlined in Ministerial Statement 740.

This report also represents the transition from AUSPLUME using 2004/2005 financial year meteorology and

background data to AERMOD using meteorological and background data from 2013. This transition is a

result of the Port Hedland Industry Council (PHIC) review of available atmospheric dispersion air models

(PEL, 2015).

Modelling of cumulative emissions was also undertaken as part of this assessment. Emissions from the

Pilbara Ports Authority (PPA) Utah Point and Nelson Point operations, the proposed expansion operations

at Anderson Point by Fortescue Metals Group (FMG), Roy Hill operations at South West Creek and the

proposed North West Iron Ore Alliance operations also at South West Creek were assessed along with the

predicted emissions from BHP Billiton Iron Ore’s existing Inner Harbour Operations and the proposed

changes.

1.3 Scope of Work

The specific activities undertaken by Pacific Environment as part of this assessment included:

Reviewing current approvals and BHP Billiton Iron Ore objectives and commitments and defined

targets at the Port.

Reviewing model assumptions down to equipment specification level (270Mtpa).

Update the dispersion model to AERMOD with 2013 meteorology and background file as outlined

in the PHIC report ‘Port Hedland Cumulative Model – Model Comparison’ (PEL, 2015).

Conduct air dispersion modelling to predict the impacts for:

o BHP Billiton Iron Ore with 270Mtpa and 290Mtpa (inclusive of operational changes)

o Cumulative scenarios with 270Mtpa scenario and third party operations including-

Fortescue Metals Group (FMG) operations at Anderson Point at 155 Mtpa.

Pilbara Ports Authority (PPA) operations at Utah Point at 21 Mtpa.

Roy Hill operations in South West Creek at 55 Mtpa.

North West Iron Ore Alliance (NWIOA) operations in South West Creek at

50 Mtpa.


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2 PROJECT DESCRIPTION

BHP Billiton Iron Ore is proposing to increase the approved throughput of its port operations from 270Mtpa

under the current operating licence to 290Mtpa. This increase in port throughput capacity will be

achieved primarily through improving the availability and utilisation of existing infrastructure in the Port

Hedland Inner Harbour including; car dumpers, shiploaders, conveyors, stackers and reclaimers. In

addition, some minor upgrades are required to selected plant predominately involving upgrades to

selected conveyor drive motors and other minor engineering changes, to increase ore handling rates

across the following existing routes:

Direct shipped ore route from Car Dumper 2 to Shiploader’s 5 and 6 via conveyor P564 (Nelson

point);

Direct shipped ore route from Car Dumper’s 4 and 5 to Shiploader’s 7 and 8 (Finucane Island);

Inflow route from Car Dumper’s 4 and 5 to Stacker’s 9 and 10 (Finucane Island);

The potential upgrades outlined above are proposed to achieve the required level of throughput and

involve five outgoing products (four direct shipped ore (DSO) fines and a blended lump).


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3 DUST ASSESSMENT CRITERIA

This section outlines the ambient air quality criteria relevant to this assessment.

3.1 Dust

Suspended solids or liquids in air are referred to as Particulate Matter (PM). Dust is a term often used as

substitute for PM, although it is more accurately applied to particles derived from the mechanical

breakdown of rock, soil and biota. Concentrations of particles suspended in air can be classified by an

aerodynamic diameter, which describes the behaviour of the particle in the air based on its size and

shape. This assessment considers only PM10. PM10 refers to the total of suspended particulate matter less

than 10 µm in aerodynamic diameter.

3.2 Ministerial Conditions

The management of dust generated by BHP Billiton Iron Ore’s Port Operations was previously regulated

by environmental conditions set in Ministerial Statement 433 Upgrade Dust Management at Finucane

Island and Nelson Point, Port Hedland (955) (MS433), issued in 1996. In 2006, BHP Billiton Iron Ore sought

revision of MS433 so that the conditions better reflected the continual improvement in the company’s

expanding operations, new standards and technology, and changes to community expectations. The

objectives of the amendments were to align the conditions of the Ministerial Statement to more

accurately reflect:

initiatives and developments in BHP Billiton Iron Ore’s community consultation programs;

how dust levels will be managed and further reduced;

revised ambient dust targets;

initiatives to improve water-use efficiency; and

the timeframe for implementation of the revised Dust Management Program.

Ministerial Statement 740 (MS740), released in May 2007, amended the environmental management

actions of MS433, including the revision of performance targets. These targets were subsequently

amended and approved via a section 45C amendment to Ministerial Statement 740 on 9 July 2013,

providing greater alignment with the air quality requirements recommended by the Port Hedland Dust

Management Taskforce.

MS740 requires that incremental progress is made towards achieving the performance targets, shown in

Table 3.1. These targets are to be assessed at the Taplin Street ambient monitoring site.

Table 3.1: Approved dust performance targets (MS740)

Performance Aspect Performance Target

Air Quality Related – Long Term

Average a

Improvement in the annual average PM10 monitored at the Taplin Street

site to a long-term target of 30 g/m3.

Air Quality Related – Short Term

Average

Improvement in the 24 hour average PM10 monitored at the Taplin Street

site with the aim to work towards a cumulative target of 70 g/m3 with less

than 10 exceedances per year.

Note: (a) Applicable for emissions from BHP Billiton Iron Ore sources together with background.

3.3 Environmental Protection Act 1986 Licence

The management of dust generated by BHP Billiton Iron Ore’s Port Operations is also subject to the

requirements of Licence Number L4513/1969/18. Conditions within the licence relate to the prevention,


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reduction and control of emissions and discharges to the environment, and to the monitoring and

reporting of them.

Ambient monitoring of PM10 is required to be undertaken at both the Taplin Street location and the

Bureau of Meteorology sites. The licence specifies a target for Taplin Street: 24 hour average PM10 target

of 70 g/m3 with less than 10 exceedances per year, consistent with the Ministerial Condition

requirements.

3.4 Assessment Criteria Used

For the purposes of this assessment the modelled concentrations of dust (PM10) are compared to the

criteria stated in Table 3.1.


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4 CLIMATE, METEOROLOGY AND AMBIENT AIR QUALITY

This section provides a contextual summary of the existing environmental aspects relevant to the air

quality assessment. It includes consideration of topography, land use (including sensitive receptors),

meteorology, and existing (background) ambient air quality in the vicinity of the study area. The climate

and meteorological characteristics of the region control the dispersion, transformation and removal (or

deposition) of pollutants from the atmosphere (i.e. ambient air quality).

4.1 Climate of the Pilbara Region

Port Hedland is a coastal town located in the Pilbara region of Western Australia. The region is

characterised by low and variable rainfall levels, seasonal cyclonic activity and consistently high

temperatures. Rainfall occurs mostly during summer months from cyclones and thunderstorms, as well as

tropical cloud bands during the May-June period. The regional coast experiences the greatest cyclonic

activity in Australia, though the cyclone season and most storms are generally restricted to the summer

months (BoM, 2013).

Three specific weather phenomena that are of greatest importance to the Pilbara region are:

tropical cyclones frequently accompanied by damaging winds, storm surge and flooding;

strong easterly winds in the winter caused by the development and intensification of anti-

cyclones over southern Western Australia or South Australia; and

major cloud bands that develop in winter and extend from the north-west coast, across the

continent, bringing rain to the north-west and the interior of the continent.

The semi-arid nature of the Pilbara lends itself to being a naturally dusty environment. Wind-blown dust is

expected to be a significant contributor to the ambient dust levels in the area.

4.2 Review of Meteorological Data

The meteorology applied within a dispersion model is a key factor for the effectiveness or

representativeness of the dispersion model outputs. Both upper air and surface information are needed

for modelling (or assumptions). For the purposes of this assessment, the meteorological model and

configuration from the PHIC CAM (PEL, 2015) has been adopted without change.

A brief review of the meteorological data used in this assessment is contained within Appendix G.

4.3 Dispersion model

For this assessment, air dispersion modelling has been conducted using the PHIC CAM as configured for

AERMOD (PEL, 2015). The model has been used to predict ground level concentrations across the

model domain and at nominated sensitive receptor locations (specifically Taplin Street). The air quality

impacts associated with the proposal were considered in isolation of other emission sources. The

background PM10 concentration was based on the model configuration as defined for Port Hedland in

the PHIC CAM (PEL, 2015). The existing air quality was based on the model configuration as defined for

Port Hedland in the PHIC CAM (PEL, 2015). An assessment of the potential cumulative impact of

emissions due to these other emissions sources in the region in conjunction with the proposal was also

undertaken to assess the potential cumulative impacts. The reported constraints and limitations of PHIC

CAM were taken into account when interpreting the model results.

The PHIC CAM was configured to predict the ground-level concentrations on a rectangular grid. The

model domain was defined with the Southwest corner of the grid cell to be at Universal Transverse

Mercator (UTM) coordinates: 647.4 km east and 7736.8 km north at 500m grid resolution, consistent with

PEL, 2015.


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4.4 Existing Air Quality in Port Hedland

The semi-arid landscape of the Pilbara is a naturally dusty environment with wind-blown dust a significant

contributor to ambient dust levels within the region. This was highlighted by the aggregated emission

study that was conducted by SKM in 2000 (SKM, 2003). This study found that the Pilbara region emitted

around 170,000 tonnes of windblown particulate matter in the 1998/1999 financial year. A graph of the

PM10 dust concentrations recorded at the BoM monitoring station at the Port Hedland Airport from

January 2004 through to June 2016 is presented in Figure 4-1. This figure shows that high dust levels display

an annual cycle with the higher dust levels occurring predominately during the summer periods.

Figure 4-1: 24-hour PM10 concentration at BoM monitoring location (µg/m3)

The full process undertaken to determine the 2013 background file is outlined in PEL, 2015 and a graph

of the 24-hour PM10 background concentration, used in this assessment, is presented in Figure 4-2.

Particular considerations for the use of PHIC CAM when assessing background results is that:

there is a high probability that not all fugitive (non-industrial) sources have been accounted for

in the background file,

the 2013 model year has one of the lowest background concentrations in the previous 10-years

of monitoring.

the ambient monitoring data indicates large annual variations in the background air

concentrations in the regions (PEL, 2015). Of particular note is the potential contribution of

emissions from the spoil bank at the Taplin Street monitor not being accounted for in the

background file. This may lead to an under-estimate of background impacts at Taplin Street.


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Figure 4-2: 24-hour PM10 background concentration for 2013 (µg/m3)

0

20

40

60

80

100

120

140

160

180

2002

4-h

ou

r P

M1

0co

nce

ntr

atio

n (

ug

/m3)


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5 EMISSION ESTIMATION

This assessment has included revision of the site emission inventory to include the previously modelled

270Mtpa scenario along with the proposed scenario at 290Mtpa, both using 2013 meteorology.

5.1 Emission Estimation Process

As part of the Product and Capacity Expansion (PACE) project, an intensive dust measurement program

was conducted at BHP Billiton Iron Ore’s Port Hedland operations over the months of September to

November 2001 (SKM 2002). Field investigations included the measurement and ranking of dust emissions

from:

operational plant such as transfer stations, screening and crushing plant and shiploaders;

stockpile operations such as stackers, reclaimers, dozers and haulpacks;

wind erosion off stockpiles and open areas; and

vehicle movements.

Dust emissions were measured under various meteorological conditions for the full range of ore types

being handled by the operations and various ore moistures. Empirical relationships were determined for

the dust generated for each source as a function of ore type, moisture content and wind speed. A full

explanation of this process is presented in Appendix A.

An additional dust measurement program was undertaken in 2004 (SKM, 2004a; 2004b) to ensure that

emission estimates and assumptions made in the original assessment were still valid and that the empirical

relationships were also still valid. An hourly varying emission file was calculated for the 2004/2005 financial

year by utilising the frequency of occurrence of particular activities throughout the year (car dumpers,

stackers, reclaimers and shiploaders) with due consideration of the ore type being handled, its moisture

content and the wind speed. The model was validated against observed dust concentrations from the

BHP Billiton Iron Ore Harbour and Hospital monitoring stations, and this is reported in Appendix B.

Further dust measurement programs were undertaken in 2011 (PAEHolmes, 2011a) to ensure that the

emission estimates, assumptions and the empirical relationships used in the modelling were still valid. One

of the findings of this study was that further vehicle emission estimation studies need to be undertaken in

the South Yard region of the Nelson Point operations once construction related activity had ceased. This

sampling was completed in March 2014. Sampling was undertaken at the following locations:

Five sampling locations in the vicinity of the Lump Rescreening Plant 3 (LRP3) which is designated

in the model as Veh_L5; and

Four sampling locations in the vicinity of the south yard transfer stations which are designated in

the model as Veh_L6.

The details of this sampling are contained within the report 7442 BHPBIO Vehicle Testing (PEL 2014a) which

is attached as Appendix I and the results are summarised in Table 5.1 along with a comparison to the

emission rates used in the previous modelling and the relative reduction that has been achieved. As can

be seen from this table there has been a substantial reduction in the particulate emissions rate from

trafficable areas with this primarily attributed to the reduction in construction related vehicle movement.

The most noticeable improvement is in the emission source Veh_L6 (South Yard vehicles) where

reductions varied from 76% up to 92%. This is due to a number of reasons including:

reduced vehicle activity in the South Yard due to the cessation of construction activity (note the

PAEHolmes (now Pacific Environment) 2011 study could not conduct any sampling in this region

due to the high density of construction activity);

improved procedures including;

o Use of gravel on open areas to reduce the amount of dirt tracked onto sealed roads,


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o designated car parking areas,

o bunding of open areas to prevent personnel from taking ‘short cuts’, and

o improved road cleaning.

Table 5.1: Comparison of trafficable area emissions

Sample

Location

Model ID Time Day New Emission

Rate

Old Emission

Rate

Percentage

Reduction

Access

roads in

the

vicinity of

LRP3

Veh_L5 Day Weekday 0.237 0.720 67%

Night Weekday 0.163 0.280 42%

Day Weekend 0.163 0.168 3%

Night Weekend 0.163 0.120 -36% (a)

Access

roads in

the

vicinity of

south yard

transfer

stations



Day Weekend 0.093 1.200 92%

Night Weekend 0.093 0.381 76%

Note:

(a) Could be attributed to construction related vehicle movement noted during site measurements

5.2 270Mtpa Process Information

As noted in Section 2, the Project proposes to increase equipment availability and utilisation in the inner

harbour.

To ensure that the atmospheric modelling of the Project was aligned to previous assessments (PAEHolmes,

2011b) the emission estimation process outlined in Section 5.1 was used in conjunction with a process

flow file obtained from The Simulation Group (TSG) created on 12 December 2014

(VALSLRP_183_4p16PEGLog_R65_s024.DST). The TSG file contains information on the hourly tonnages

through the ore dumpers, stackers, reclaimers and shiploaders by ore type for a full year.

The total incoming tonnage for the Project is presented in Table 5.2 and the total outgoing ore is

presented in Table 5.3. From these tables it is evident that BHP Billiton Iron Ore is proposing to export five

outgoing products (four direct shipped ore (DSO) fines and a blended lump).

Table 5.2: Nominal incoming tonnage for the Project (Mtpa)

Product Car Dumpera Stackersa

Newman Joint Venture Lump 33.3 24.8

Newman Joint Venture Fines 48.3 25.8

Yandi Fines 79.6 32.5

Mac Lump 27.0 20.4

Mac Fines 34.8 20.8

Jimblebar Lump 17.5 12.7

Jimblebar Fines 28.0 17.8

Note: a. tonnes have been rounded to the nearest one hundred thousand tonnes


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Table 5.3: Nominal outgoing tonnage for the Project (Mtpa)

Product Reclaimersa Shiploadersa



Mac Fines 20.9 37.7


Pilbara Blend Lump 58.4 69.7


5.3 290Mtpa Process Information

As noted in Section 2, the Project proposes to increase equipment availability and utilisation in the inner

harbour.

To ensure that the atmospheric modelling of the Project was aligned to previous assessments (PAEHolmes,

2011b) the emission estimation process outlined in Section 5.1 was used in conjunction with a process

flow file obtained from The Simulation Group (TSG) created on 5 May 2016

(S274_MPOWDPS_353adust_5p3MPOW2_PO_s005). The TSG file contains information on the hourly

tonnages through the ore dumpers, stackers, reclaimers and shiploaders by ore type for a full year.

The total incoming tonnage for the Project is presented in Table 5.4 and the total outgoing ore is

presented in Table 5.5. From these tables it is evident that BHP Billiton Iron Ore is proposing to export five

outgoing products (four direct shipped ore (DSO) fines and a blended lump).

Table 5.4: Nominal incoming tonnage for the Project (Mtpa)

Product Car Dumpera Stackersa

Newman Joint Venture Lump 36.5 26.6



Mac Lump 28.5 21.0

Mac Fines 38.0 22.4

Jimblebar Lump 24.6 18.3



Table 5.5: Nominal outgoing tonnage for the Project (Mtpa)

Product Reclaimersa Shiploadersa



Mac Fines 22.3 41.2


Pilbara Blend Lump 65.6 80.3



Job ID 20851 | AQU-WA-003-20851

5.4 Emission Controls

5.4.1 Standard Emission Controls

BHP Billiton Iron Ore is committed to reducing emissions of particulate matter from its operations to meet

the ambient targets outlined Section 3.2 and Section 3.4. To assist in accomplishing this objective, BHP

Billiton Iron ore has implemented numerous dust mitigation practises as standard into its operations. These

standard abatement strategies will be incorporated into this project and include:

stockyard cannons;

bulk ore conditioning (BOC) sprays;

enclosure and dust extraction on all proposed car dumpers;

where possible or practicable seal roads with extensive cleaning regime;

belt wash stations on selected conveyors;

fogging sprays at selected transfer stations and rescreening plants;

water sprays on all luffing/slewing stackers, reclaimers and shiploaders; and

addition of gravel to unsealed open areas to reduce wind erosion

90% availability of wet scrubbers at transfer stations and LRPs’

90% availability of water sprays on stackers, reclaimers and shiploaders; and


to 90%.

These controls are already utilised at the existing facilities in Port Hedland (Nelson Point and Finucane

Island).

A list of all the current dust controls currently in use by the BHP Billiton Iron Ore operations together with

their location and model group are presented in Appendix H. Additional dust abatement for this

assessment included:

inclusion of wet scrubbers on TS26, TS800 and TS808 (40% reduction with an availability of 90%);

decrease in stacker height which will reduce the drop height and reduce the wind erosion

potential from stackers, particularly when MAC fines are being handled; and


o TS775

o TS502

o TS563

o TS603

o TS503

The dust abatement measures also include sealing, coarse material and site improvements in Zones 3, 4

and 5 at Nelson Point to reduce vehicle impacts.

5.5 Emission Estimates for BHP Billiton Iron Ore Operations

5.5.1 270Mtpa and 290Mtpa Production Scenarios

The 270Mtpa project scenario involves increasing equipment availability and utilisation to the existing BHP

Billiton Iron Ore operations at both Finucane Island and Nelson Point as outlined in Section 2.

The emission estimation process used to develop the emission files is identical to that outlined in Section

5.1 and detailed in Appendix A, and a detailed account of the process is contained in the report Port

Hedland Inner Harbour Project – Air Quality Assessment (PAEHolmes, 2011b). The emission statistics of

each source relevant to the 270Mtpa and 290Mtpa project scenario’s are presented in Appendix D.

The top 20 sources (by maximum emission) for the proposal (270 Mtpa and 290 Mtpa) are presented in

Figure 5.1 and Figure 5.2. The results indicate that emissions from stockpile wind erosion contribute the


Job ID 20851 | AQU-WA-003-20851

maximum to the calculated hourly PM10 emission rate. Note that the emission estimates for the 270 Mtpa

scenario vary from that previously modelled (PAEHolmes, 2011b) and this variation results from updating

the modelled year from 2004/2005 to 2013.

The emission statistics from all BHP Billiton Iron Ore sources are presented in Appendix D.

Figure 5.1: Calculated PM10 Emission Rates for 270Mtpa


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Figure 5.2: Calculated PM10 Emission Rates for 290Mtpa

5.6 Cumulative Emission Sources (non BHP Billiton Iron Ore Sources)

The modelling of cumulative emissions is a requirement of the Western Australian Department of

Environment Regulation (DER) (DoE 2006). The cumulative emission sources for this study incorporate

current and planned export operations including:

21 Mtpa from the Pilbara Ports Authority (PPA) Utah Point operations;

155 Mtpa from the Fortescue Metals Group (FMG) operations at Anderson Point;

55 Mtpa from the proposed Roy Hill operations in South West Creek; and

50 Mtpa from the proposed North West Iron Ore Alliance (NWIOA) in South West Creek.

Emissions for existing and future operations within Port Hedland were obtained from PHIC and the full

emission estimation process is outlined in PEL 2015. The emission estimation process has followed the PHIC

CAM Flowchart (PEL, 2015).

For each facility an hourly variable emission file was obtained containing updated emissions to reflect

the meteorology for 2013. Each file contained emissions from all potential sources within either the

existing or forecast facility including:

car dumpers;

transfer stations;

stackers and reclaimers;

Conveyors;

Shiploaders;

wheel generated dust; and

wind erosion (stockpile and open area).


Job ID 20851 | AQU-WA-003-20851

6 MODELLING METHODOLOGY

This section describes the model used to predict ground level concentrations from the proposal based

on derived emission rates and meteorological data.

6.1 Modelling Approach

AERMOD is the acronym or common name for the AERMIC Dispersion Model. It was designed by the

AERMIC Committee (the American Meteorological Society/Environmental Protection Agency Regulatory

Model Improvement Committee) to treat elevated and surface emission sources in terrain that is simple

or complex (Perry, Cimorelli et al, 2005). AERMET, a USEPA approved meteorological processor is the

processor used to generate the meteorological file in an appropriate format for use in AERMOD.

In November 2006 AERMOD replaced the ISCST3 model as the USEPA’s regulatory model for near-field

applications (less than 50 km) for simple and complex terrain (USEPA, 2008a). In October 2013, the

Environmental Protection Authority (EPA) of Victoria adopted AERMOD as the replacement for AUSPLUME

for regulatory air impact assessment in Victoria.

6.2 AERMOD Modelling

The AERMOD (Version 9.1.0) dispersion model was used, along with site representative meteorological

data for the year 2013, to predict the dispersion of PM10 at fifteen representative receptors within the

region. An AERMOD output file typical of those used in this assessment is presented in Appendix E. The

model options and assumptions used are consistent with the AERMOD model configuration used for Port

Hedland in PHIC CAM (PEL, 2015).

The emission source parameters for all modelled BHP Billiton Iron Ore sources are presented in Appendix

F.

6.3 Meteorological File

AERMOD requires the following meteorological parameters to be included in the input files:

Surface data file (.SFC)

o Scalar wind speed (m/s) at wind reference height (e.g. 10m).

o Wind direction (degrees measured clockwise from true north) at wind reference height.

o Ambient temperature (°K) at screen level height (e.g. 2m).

o Surface characteristics of the application site

albedo

Bowen Ratio

surface roughness (m)

o Scalar parameters

friction velocity (m/s)

convective velocity scale (m/s)

monin-Obukhov length (m)

sensible heat flux (W/m2)

o Mixing heights (m)

convective boundary layer height (CBL)

stable boundary layer height (SBL)

o Vertical gradient of potential temperature (°K/m)

o Precipitation code

o Precipitation rate (mm/hr)

o Surface pressure (hPa)

o Relative humidity (%)

o Total cloud amounts (in 10 ths)


Job ID 20851 | AQU-WA-003-20851

Profile data file (.PFL)

o Measurement height for each level (m)

o Wind directions at the current level (degrees measured clockwise from true north)

o Wind speed at the current level (m/s)

o Temperature at the current level (ºC)

A summary of the stability, wind speeds, and mixing heights of this data is provided in Appendix G.

6.4 Grid System

AERMOD can calculate concentrations both on a set grid (typically Cartesian) or at specified locations

(see Section 6.5). The model was configured to predict the ground-level concentrations on a rectangular

grid spaced at 500 m intervals. This grid approach was chosen to restrict the duration of model runs while

using the particle deposition algorithms. This approach is also identical to that used in the PPA fatal flaw

investigation (SKM, 2009) and the Port Hedland Dust Management Taskforce (PHDMT) report (DSD, 2010).

6.5 Sources

The location of the sources for the existing BHP Billiton Iron Ore operations at Nelson Point are presented

in Figure 6.1 while the source locations on Finucane Island are presented in Figure 6.2. The coordinates

for each BHP Billiton Iron Ore source is presented in Appendix F.

Figure 6.1: BHP Billiton Iron Ore Sources at Nelson Point


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Figure 6.2: BHP Billiton Iron Ore Sources at Finucane Island

The location of the cumulative sources are presented in Figure 6.3 including PPA Utah Point and Nelson

Point (orange), NWIOA (red), Roy Hill (blue), and FMG (green).


Job ID 20851 | AQU-WA-003-20851

Figure 6.3: Cumulative Sources at Port Hedland

6.6 Discrete Receptors

For this assessment dust concentrations were modelled using Taplin Street as a sensitive receptor. This

monitor was used to demonstrate achievement of the performance criteria established in MS740 as

outlined in Section 3.2. The location of this monitor is presented in Figure 6.4.


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Figure 6.4: Sensitive Receptor Location – Port Hedland Study Area


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7 MODELLING RESULTS

This assessment has used the PHIC CAM (AERMOD) to estimate the air quality impacts associated with

the Project. Particles, as PM10 was modelled (24-hour average) with tabulated results presented for the

listed sensitive receptor location, and contours across the model domain.

The modelling results are presented within the following scenarios:

Scenario 1 – Previously modelled 270Mtpa scenario in isolation of all other emission sources (both

including and excluding the stated PHIC CAM 2013 measured ambient background air quality).

Scenario 2 – 290Mtpa scenario emissions in isolation of all other emission sources (both including

and excluding the stated PHIC CAM 2013 measured ambient background air quality)

Scenario 3 – Previously modelled 270Mtpa scenario in conjunction with cumulative emissions

from existing and proposed port operations (FMG, Pilbara Port Authority (PPA), Roy Hill Iron Ore

(RHIO) and North West Infrastructure (NWI)) (with the inclusion of the stated PHIC CAM 2013

measured ambient background air quality)

Scenario 4 - 290Mtpa scenario in conjunction with PHIC CAM third party sources and the PHIC

CAM 2013 measured ambient background air quality.

It is noted that the 270Mtpa scenario represents base case (existing) and is presented to provide

comparison against proposed changes (290Mtpa scenario). It should be noted that this assessment is

using the approved PHIC CAM and contains updated variable emissions files. This will result in variations

to model outcomes and the results cannot be compared to previously modelled assessments.

The predicted ground level concentrations of particles as PM10 at the key sensitive receptor location are

presented for each case and scenario. The modelled concentration statistics (i.e. maximum, 99th

percentile, 95th percentile, 90th percentile and 70th percentile) are tabulated for each case and

scenario. Contour maps showing the modelled ground level concentration of PM10 are also presented.

7.1 BHP Billiton Iron Ore Dust Impact (PM10) – 270Mtpa (Base Case)

The predicted 24-hour PM10 statistics for the previously modelled 270Mtpa scenario at Taplin Street, both

with and without background concentrations, are displayed in Table 7.1. This table also contains the

statistics of the background concentration file used in the assessment.

When the predicted results for the previously modelled 270Mtpa scenario are investigated it is apparent

that the proposed development (without background):

does not result in exceedances of the short term criteria (10 exceedances per year); and

the annual average target (30 µg/m3)will be met at Taplin Street.

When the predicted results for the previously modelled 270Mtpa scenario are investigated it is apparent

that the proposed development (with background):

There is one excursions of the short term criteria at Taplin Street however this is due to a single

high 24-hour background air quality concentration (183 µg/m3). The number of exceedances

falls below the target of less than 10, thus meeting the short term criteria (Section 3.4) at Taplin

Street.

The annual average target at Taplin Street of 30 µg/m3 is met for the 270Mtpa scenario when

combined with background air quality.


Job ID 20851 | AQU-WA-003-20851

Table 7.1: Statistics for Predicted PM10 Ground Level Concentrations at Taplin Street for the Previously

Modelled 270Mtpa scenario (g/m3)

270Mtpa scenario

Re

ce

pto

r

Ma

xim

um

99

th P

erc

en

tile

95

th P

erc

en

tile

90

th P

erc

en

tile

70

th P

erc

en

tile

An

nu

al

Ave

rag

e

An

nu

al

Ex

ce

ed

en

ce

s

of 7

0

g/m

3

Without Background 23 19 13 12 8 6.1 0

With Background 187 58 43 41 33 28.0 1

Background 183 53 36 32 25 21.9 1

The contour plot of the maximum 24-hour PM10 concentrations that are predicted to occur as a result of

the 270Mtpa scenario as a standalone operation (without background) are presented in Figure 7.1. The

contour plot of the maximum 24-hour PM10 concentrations that are predicted to occur as a result of the

270Mtpa scenario with background air quality are presented in Figure 7.2.


Job ID 20851 | AQU-WA-003-20851

Figure 7.1: Maximum predicted 24-hour PM10 concentrations for the 270Mtpa scenario (without

background)


Job ID 20851 | AQU-WA-003-20851

Figure 7.2: Maximum predicted 24-hour PM10 concentrations for the 270Mtpa scenario (with

background)

The concentration contours presented in Figure 7.3 and values tabulated in Table 7.1 show that the

270Mtpa scenario combined with background air quality exceeds the short term criterion at Taplin Street

(187 g/m3) however this occurs on only one occasion and is due to a single high 24-hour background

air quality concentration of 183 µg/m3.


Job ID 20851 | AQU-WA-003-20851

Figure 7.3: Number of excursions above 70 µg/m3 for the 270Mtpa scenario (with background)

The annual average PM10 concentrations that are predicted to occur as a result of the 270Mtpa scenario

with background air quality are presented in Figure 7.4.


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Figure 7.4: Annual average predicted PM10 concentrations for the 270Mtpa scenario (with background)


Job ID 20851 | AQU-WA-003-20851

7.2 BHP Billiton Iron Ore Future Dust Impact (PM10) – 290Mtpa

The predicted 24-hour PM10 statistics for the 290Mtpa scenario at Taplin Street, both with and without

background concentrations, are displayed in Table 7.2. This table also contains the statistics of the

background concentration file used in the assessment.

When the predicted results for the 290Mtpa scenario are investigated it is apparent that the proposed

development (without background):

the short term target (maximum 24 hour average of 70 µg/m3) will be met at the Taplin Street

receptor; and

the annual average target (30 µg/m3) will be met at the Taplin Street receptor.

When the predicted results for the 290Mtpa scenario are investigated it is apparent that the proposed

development (with background):

Results in one excursions of the short term criteria at Taplin Street however this is due to a single

high 24-hour background air quality concentration (183 µg/m3). The number of exceedances

falls below the target of less than 10, thus meeting the short term criteria (Section 3.4) at Taplin

Street.

The annual target at Taplin Street of 30 µg/m3 is met for the proposed 290Mtpa scenario when

combined with background air quality.

Table 7.2: Statistics for Predicted PM10 Ground Level Concentrations at Taplin Street from the 290Mtpa

scenario (g/m3)

270Mtpa scenario

Re

ce

pto

r

Ma

xim

um

99

th P

erc

en

tile

95

th P

erc

en

tile

90

th P

erc

en

tile

70

th P

erc

en

tile

An

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rag

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An

nu

al

Ex

ce

ed

en

ce

s

of 7

0

g/m

3

Without Background 22 19 14 11 8 6.2 0

With Background 185 60 44 40 33 28.0 1

Background 183 53 36 32 25 21.9 1

The contour plot of the maximum 24-hour PM10 concentrations that are predicted to occur as a result of

the proposed 290Mtpa scenario as a standalone operation (without background) are presented in Figure

7.5. The contour plot of the maximum 24-hour PM10 concentrations that are predicted to occur as a result

of the proposed 290Mtpa scenario with background air quality are presented in Figure 7.6.


Job ID 20851 | AQU-WA-003-20851

Figure 7.5: Maximum predicted 24-hour PM10 concentrations for the proposed 290Mtpa (without

background)


Job ID 20851 | AQU-WA-003-20851

Figure 7.6: Maximum predicted 24-hour PM10 concentrations for the proposed 290Mtpa scenario (with

background)

The concentration contours presented in Figure 7.7 and values tabulated in Table 7.2 show that the

proposed 290Mtpa scenario combined with background air quality exceeds the short term criterion at

Taplin Street (70 g/m3) however this occurs on only one occasion and is due to the high background air

quality concentration of 183 µg/m3.


Job ID 20851 | AQU-WA-003-20851

Figure 7.7: Number of excursions above 70 µg/m3 for the proposed 290Mtpa scenario (with

background)

The annual average PM10 concentrations that are predicted to occur as a result of the proposed

290Mtpa scenario (with background air quality) are presented in Figure 7.8.


Job ID 20851 | AQU-WA-003-20851

Figure 7.8: Annual average predicted PM10 concentrations for the proposed 290Mtpa scenario (with

background)

A comparison of the proposed 290Mtpa model results with the model results predicted for the previous

270Mtpa scenario (base case) are presented in Table 7.3 for Taplin Street. From this table it is evident

that there is no change in the annual average concentration at Taplin Street. This result is due to the

operational changes, along with the additional dust abatement measures, that BHP Billiton Iron Ore is

proposing to achieve the required throughput.


Job ID 20851 | AQU-WA-003-20851

Table 7.3: Predicted Model Statistics for PM10 Ground Level Concentrations

at Taplin Street (with Background) (g/m3)

Statistic 270Mtpa 290Mtpa

Maximum 187 185

99th Percentile 58 60




Average 28 28

Excursions >70 g/m3 1 1

7.3 Cumulative Dust Impact (PM10)

The predicted number of excursions of the short term criteria, for the cumulative scenarios, at Taplin

Street, are presented in Table 7.4. From this table it is evident that the proposed 290Mtpa scenario is not

predicted to result in any further excursions of the short term criteria at Taplin Street.

Table 7.4: Predicted number of excursions of the short term PM10 criteria at Taplin Street with cumulative

sources (g/m3)

Statistic 270Mtpa 290Mtpa

Excursions >70 g/m3 8 8

The predicted number of excursions above 70 µg/m3 for the cumulative sources and the BHP Billiton Iron

Ore 270Mtpa scenario (with background) are presented in Figure 7.9. The model predicts 8 excursions of

the target in the modelled year at Taplin Street.


Job ID 20851 | AQU-WA-003-20851


background)


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The predicted number of excursions above 70 µg/m3 for the cumulative sources and the proposed BHP

Billiton Iron Ore 290Mtpa scenario (with background) are presented in Figure 7.10. The model predicted

excursions of the target in the modelled year at Taplin Street remains the same at 8 excursions.


background)


Job ID 20851 | AQU-WA-003-20851

8 CONCLUSIONS

BHP Billiton Iron Ore has moved from a phase of major capital growth to a focus on productivity and low-

capital expansion. As part of this change, BHP Billiton Iron Ore is proposing a series of initiatives to

progressively increase the production throughput of its inner harbour infrastructure up to 290Mtpa.

This report has multiple purposes including:

outlining the methodology for the emission estimation and the atmospheric modelling of the

predicted dust impacts associated with the proposed increase in production up to 290Mtpa.

presenting the predicted ground level concentrations of dust with the introduction of the Project,

and makes comparisons to the dust performance targets outlined in Ministerial Statement 740.

Transitioning from AUSPLUME using 2004/2005 financial year meteorology and background data

to AERMOD using meteorological and background data from 2013. This transition is a result of

the PHIC review of available atmospheric dispersion air models (PEL, 2015).

To assist in the model transition process the previously approved 270Mtpa scenario was upgraded to the

latest model year (2013) to provide a base, or reference point, for the model predictions between the

scenarios.

The report outlines the methodology for predictive modelling of dust impacts associated with the base

case 270Mtpa and the proposed 290Mtpa scenario. The emission estimation process is identical to that

used in all previous BHP Billiton Iron Ore modelling projects. The dust modelling used the following

assumptions for dust abatement:

90% availability of wet scrubbers at transfer stations and LRPs.

90% availability of water sprays on stackers, reclaimers and shiploaders.


to 90%.

Reduction in stacker drop height.

Wet scrubbers on Transfer Stations TS26 (located at Nelson Point) and TS800 and TS808 (located

on Finucane Island).


o TS775

o TS502

o TS563

o TS603

o TS503

A direct ship ore (DSO) of 44% was applied with approximately 125 Mtpa of ore directly shipped.

Additional road sealing and coarse material along sections of roads (within zones 3, 4 and 5) at

Nelson Point.

The modelling assessment also incorporates other existing and proposed operators in the region

(cumulative emissions) that contribute to dust emissions.

Modelling of the 270Mtpa scenario using AERMOD indicates that:

Without background data

o The model predicts no excursions of the 24-hour criteria at Taplin Street

o the annual target (30 µg/m3) will be met at Taplin Street.

With background data

o The model predicts one excursion of the 24-hour criteria at Taplin Street - which is due to

a single high concentration associated with the background file. As the number of

exceedances falls below the target of less than 10, the PM10 criteria is met

o the annual average target (30 µg/m3) will be met at Taplin Street.


Job ID 20851 | AQU-WA-003-20851

Modelling of the proposed 290Mtpa scenario using AERMOD indicates that:

Without background

o does not result in excursions of the short term PM10 criteria at Taplin Street receptor;


With background:

o The model predicts one excursion of the 24-hour criteria at Taplin Street - which is due to

a single high concentration associated with the background file. As the number of

exceedances falls below the target of less than 10, the PM10 criteria is met.


When the predicted concentrations of the 270Mtpa and 290Mtpa scenarios are compared it is

apparent that the annual average concentration at Taplin Street remains the same. This is

achieved by the operational changes, along with the additional dust abatement measures, that

BHP Billiton Iron Ore is proposing to achieve the required throughput.

For the cumulative scenarios (270Mtpa and 290Mtpa) the introduction of the additional tonnage

results in no increase in excursions of the short term PM10 criteria at Taplin Street.


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9 REFERENCES

BHP Billiton Iron Ore (2006). Revision of the Dust management Program for Finucane Island and Nelson

Point Operations. Section 46 Amendments to Ministerial Statement 433. August 2006.

Bureau of Meteorology (BoM) (2013). Climate Statistics for Australian Locations, viewed 16 July 2013.

http://www.bom.gov.au/climate/averages/tables/cw_004032.shtml

DSD (2010). Port Hedland Air Quality and Noise Management Plan.

http://www.dsd.wa.gov.au/documents/000991a.denise.lazenby.pdf (accessed 22 July 2013)

National Pollutant Inventory (NPI) 2001. Emission Estimation Technique Manual for Mining version 2.3, NPI.

Department of Environment and Water Resources

NSW DEC (2005). Approved methods and guidance for the modelling and assessment of air pollutants

in NSW. NSW Environment Protection Authority.

http://www.environment.nsw.gov.au/resources/air/ammodelling05361.pdf Accessed: 22/7/13.

PAEHolmes (2011a). Particulate emissions from vehicles at Nelson Point. Report prepared for FAST 12

September 2011.

PAEHolmes (2011b). Port Hedland Inner Harbour Project – Air Quality Assessment. Report prepared for

BHP Billiton Iron Ore 19 August 2011.

Pacific Environment (2014a). Onsite Dust Emission Testing and Model Update. Report prepared for FAST

on behalf of BHP Billiton Iron Ore.

Pacific Environment (2014b). Assessment of the surface roughness height (for dispersion modelling) in

the Inner Harbour. Briefing note prepared for BHP Billiton Iron Ore.

Pitts, O (2000). Fugitive PM10Emission Factors. Conference proceedings of the 15th International Clean

Air and Environment Conference. Sydney, Australia, November 2000.

Port Hedland Port Authority (2013). Comparative Trade Statistics, viewed 16 July 2013.

http://www.phpa.com.au/About-the-Port/Statistics/Cargo-statistics-and-port-information/PDF-

File/CargoStatisticsReport2012.aspx

Sinclair Knight Merz. (2002). Port Hedland Dust Management Program: On Site Emission Sampling. An

internal report prepared for the MPD JV.

Sinclair Knight Merz (2003). Aggregated Emissions Inventory for the Pilbara Airshed. Prepared for the

Western Australian Department of Environment and Conservation.

Sinclair Knight Merz. (2004a). Ongoing Works Program – Car Dumper 4. An internal report prepared for

the MPD JV.

Sinclair Knight Merz. (2004b). Long Term Expansion Project: On-Site Dust Emission Testing (Phase 2). An

internal report prepared for the MPD JV.

Sinclair Knight Merz. (2006). MPDJV Section 46 Port Hedland: Onsite Dust Emission Testing, Site Model

Update and Reporting. An internal report prepared for the MPD JV.

Sinclair Knight Merz. (2009). Port Hedland Port Authority Fatal Flaw Study. Prepared for Port Hedland Port

Authority.

http://www.dsd.wa.gov.au/documents/000991a.denise.lazenby.pdf


Job ID 20851 | AQU-WA-003-20851

Sinclair Knight Merz. (2010). PaMS and Gluon Trial. An internal report prepared for FAST.

Sinclair Knight Merz. (2010a). Fogging Trial: Dust Monitoring Report. An internal report prepared for FAST.

Sinclair Knight Merz. (2010b). Belt Wash Monitoring: Monitoring Results. An internal report prepared for

FAST.

USEPA (2000). Meteorological Monitoring Guidance for Regulatory Modeling Applications. Office of Air

Quality, Planning and Standards. http://www.epa.gov/scram001/guidance/met/mmgrma.pdf

(accessed 22/7/2013).

http://www.epa.gov/scram001/guidance/met/mmgrma.pdf

Appendix A - Emission Estimation.docx A-1

BHP Billiton Iron Ore | Job Number 20851 | AQU-WA-002-20851

Appendix A EMISSION ESTIMATION



As part of the Product and Capacity Expansion (PACE) project, an intensive dust measurement

program was conducted at BHP Billiton Iron Ore’s Port Hedland operations over the months September

to November 2001 (SKM 2002). Field investigations included the measurement and ranking of dust

emissions from:

� operational plant such as transfer stations, screening and crushing plant and shiploaders;

� stockpile operations such as stackers, reclaimers, dozers and haulpacks;

� wind erosion off stockpiles and open areas; and

� vehicle movements.

Dust emissions were measured under various meteorological conditions for the full range of ore types

being handled by the operations and various ore moistures. This project determined that there was a

strong relationship between product type, ore moisture, tonnage of material being handled and wind

speed. To determine the particulate emissions that could be expected to occur for a given situation

(e.g., MAC Lump through a transfer station) two empirical equations were derived. The first equation

(Equation 1) determines the particulate emissions (kg/tonne) for a given ore type and moisture from a

certain material handling process (transfer, stacking or reclaiming). This calculated value is then

converted into an emission value (g/s) by incorporating the loading tonnage (ton/hr) and the wind

speed (m/s) (Equation 2). This equation is a modification of the USEPA batch loading equation

PM10 transfers (kg/tonne) = 0.001 × (Dustiness Index +30) / Factor (Equation 1)

Where:

� Dustiness Index is the value from the rotating drum tests using the dust testing set up;

� Factor is equal to 450 for transfers; and

� The value of 30 in Equation 1 was added such that some dust would be generated even at high

moistures where the rotating drum tests indicate no dust.

This was then converted to g/s by:

PM10 transfers (g/s) = PM10 transfers (kg/tonne) × tonnes/3.6 × (ws/2.2)1.3 (Equation 2)

Where:

� Tonnes is the tonnes per hour of the product through the infrastructure

� 3.6 is a conversion from tonnes per hour to grams per second;

� ws is the hourly 10m wind speed; and

� (ws/2.2)1.3 is a component of the USEPA batch loading equation.

A. 1 Rotating Tumble Drum Tests

To determine the dustiness index of the ores processed at Port Hedland it was first necessary to

determine the dust extinction moisture (DEM). This was accomplished through a series of rotating

tumble drum tests, which were conducted at the BHP Billiton Iron Ore Newcastle Technology Centre.

These tests were based on Australian Standard AS4156.6-2000. The tumble drum method was

developed to determine the dust/moisture relationship for coals and has been applied to iron ores,

bauxites and other materials. It indicates the likely response of different materials to drying or water

addition during mining and handling processes. Ore samples are tumbled for a given duration at

carefully controlled moisture contents, and the dust (-150 micron) is collected into a vacuum bag. The

resulting dust is weighed and a measure of the dustiness calculated.

A graph of the dust/moisture relationship is obtained, and the dust extinction moisture (DEM) is

presented in Figure A.1. This figure shows the rotating tumble drum tests for a sample of MAC fines

analysed during the dust management, measurement, abatement and characterisation study



conducted in 2001. A dust index of 10 corresponds to a dust yield of 0.01% at which the dust is

effectively suppressed with these results showing that MAC fines have a DEM of approximately 7%.

Figure A.1: Results of MAC fines rotating drum and durham cone test

Increasing the moisture of the ore will also have an effect on the ore handling characteristics. As can

be observed in Figure A.1 the Durham cone tests on MAC fines (blue line) show that material flow

problems are experienced at moisture levels higher than approximately 10%. A target optimum

moisture range that suppresses dust and avoids flow problems is indicated when these dust and flow

test curves are combined (Figure A.1) and for MAC fines an optimum moisture range of 7.0% to 9.5%

was found.

Results from the rotating drum tests conducted on a representative section of material that is processed

at Nelson Point and Finucane Island is presented in Figure A.2. This data was used to determine the

dustiness index of each ore over a range of ore moistures. This dustiness index could then be

incorporated into Equation 1. To prevent excessively high emissions from material handling of Yandi

lump the dustiness index was capped at 800. The USEPA dustiness equation has been included into this

graph to highlight its inability to account for emissions from different ore types. The USEPA equation also

relies on the silt loading of a material to determine its potential dustiness, which in the case of the

products processed at Nelson Point would result in Yandi lump having the lowest dust emissions while

materials that are classified as “fines” would have high dust emissions, which is contrary to observations.



Figure A.2: Rotating drum test results for BHP Billiton Iron Ore products

A. 2 Factor Constants

The factor constants used in Equation 1 are presented in Table A.1. These constants were derived by

inserting emission measurements taken from various material handling processes at Nelson Point, from a

variety of ore types, into Equation 2 and then rearranging the equation to get:

PM10 transfers (kg/tonne) = PM10 transfers (g/s) × 3.6 / (tonnes ×(ws/2.2)1.3) Equation 3

Equation 1 was then rearranged to get:

Factor = 0.001 × (Dustiness Index +30) / PM10 transfers (kg/tonne) Equation 4

Table A.1: Factor constants used in modelling

Material Handling Process Factor

Transfer Stations 450

Stacking 200

Reclaiming 450

The predicted PM10 emissions per tonne of ore throughput using this relationship are presented in Figure

A.3. From this graph it can be seen the USEPA transfer emission equations would under predict the

emissions that occur for all product types at Nelson Point.



Figure A.3: Predicted PM10 emissions (kg/tonne) as a function of moisture

A. 3 Dustiness Index

To assist in determining the hourly dustiness index required for Equation 1 the following steps in the

emission estimation process were required. The first step involves determining the range of potential

moisture concentrations that may occur for each ore type forecasted to be received at the Project.

This information was obtained from BHP Billiton Iron Ore (Aconex PAEH-LETTER-000034 8 November 2011)

and contained the forecast annual moisture concentrations for each ore type along with a

conservative range of moisture concentrations. The moisture concentrations contained within this file

were slightly higher than that used in previous assessments (PAEHolmes, 2011a) as the mines that are

supplying the ore are forecast to be below the water table.

An hourly varying moisture concentration file was established for each product utilising the forecast

annual average moisture, a standard deviation based on the predicted range of the concentrations

and a random number distribution around the normal inverse. This methodology results in a bell shaped

curve distribution centred on the average moisture and the statistics of the predicted moisture

concentrations are presented in Table A.2.

The hourly varying moisture concentration file was then converted into an hourly varying dustiness index

value by utilising the results from the rotating drum tests (Table A.3) and assigning the appropriate

dustiness value for the hourly moisture concentration. For each product listed in Table A.3 when the

dustiness index reaches 10 or below this effectively signifies that the dust extinction moisture (DEM) has

been reached and that the product has obtained optimal moisture.



Table A.2 Statistics of forecast moisture concentrations

Product

Ma

xim

um

99 P

erc

en

tile

95 P

erc

en

tile

90 P

erc

en

tile

70 P

erc

en

tile

50 P

erc

en

tile

30 P

erc

en

tile

10 P

erc

en

tile

5 P

erc

en

tile

1 P

erc

en

tile

Min

imu

m

Newman

Lump 4.0% 3.7% 3.5% 3.4% 3.2% 3.1% 3.0% 2.8% 2.7% 2.5% 2.2%

Newman

fines 5.4% 5.1% 4.9% 4.8% 4.6% 4.5% 4.4% 4.2% 4.1% 3.9% 3.6%

MAC Lump 5.5% 5.1% 4.8% 4.7% 4.4% 4.3% 4.1% 3.8% 3.7% 3.4% 3.0%

MAC fines 7.5% 7.1% 6.8% 6.7% 6.4% 6.3% 6.1% 5.8% 5.7% 5.4% 5.0%

Jimblebar

lump 5.0% 4.6% 4.3% 4.2% 3.9% 3.8% 3.6% 3.3% 3.2% 2.9% 2.5%

Jimblebar

fines 7.3% 6.8% 6.6% 6.5% 6.2% 6.0% 5.8% 5.6% 5.4% 5.2% 4.7%

PB Lump 5.3% 4.8% 4.6% 4.5% 4.2% 4.0% 3.8% 3.6% 3.4% 3.2% 2.7%

PB Fines 7.3% 6.8% 6.6% 6.5% 6.2% 6.0% 5.8% 5.6% 5.4% 5.2% 4.7%

Table A.3 Dustiness index used at Nelson Point

Moisture Newman High

Grade Lump

Newman High

Grade Fines

Mining Area

C Lump

Mining Area

C Fines

Jimblebar

Lump

Jimblebar

Fines

1.25 280 270 430 650 620 350

1.75 280 270 250 650 610 310

2.25 150 230 160 650 480 280

2.75 70 180 130 440 310 250

3.25 30 140 80 230 130 240

3.75 10 70 45 105 25 220

4.25 5 20 30 90 5 200

4.75 2 5 5 55 2 170

5.25 2 5 2 45 2 50

5.75 2 5 2 35 2 10

6.25 2 2 2 29 2 2

6.75 2 2 2 20 2 2

7.25 2 2 2 15 2 2

7.75 2 2 2 8 2 2

8.25 2 2 2 2 2 2

8.75 2 2 2 2 2 2



A. 4 Potential Sources of Error in Emission Estimation Methodology

While every effort is made to ensure dust sampling and emission calculations are as accurate as

possible, there are sources of potential error associated with this methodology. These errors may be

associated with either the physical sampling of the dust, or those associated with emission estimation

calculations. Errors associated with physical sampling of dust may include the following:

� The plume sampled may be affected by another dust source, i.e., show an elevated reading due

to another dust source;

� Wind speed is taken as an average value, which may not reflect peaks in dust concentrations

associated with wind gusts;

� Calibration of DustTrak to specific ore types; and

� Difficulties in determining source to traverse distance

Errors may also be associated with source emission calculations. The main error is associated with an

“idealised” method of calculating an emission rate, whereby an empirical equation has been used to

estimate an hourly average emission rate. However, in reality emissions vary on smaller time scales due

to variations in wind speed, ore moisture and ore throughput.

Appendix B - Model Calibration and Validation.docx B-1


Appendix B MODEL CALIBRATION/VALIDATION



B. 1 Background

Atmospheric dispersion models are widely used to study the complex relationship between emissions

and air quality as a function of source and meteorological conditions. Models for estimating dispersion

range from simple empirical expressions to very complex numerical solutions of the conservation

equations governing pollutant concentration. Due to the complexity of atmospheric transport

processes, practical or operational dispersion models rely heavily on empiricism.

It is generally accepted that errors in air pollution modelling results can be large (Hanna et al, 1982).

This, in conjunction with the large uncertainty of many of the model inputs for fugitive dust emissions,

means that results should be interpreted on this context. Verification of models with practical impact

data becomes an essential part of any overall impact prediction/assessment process.

B. 2 Model validation

Fundamental to the development of confidence in the model is a comparison of the calculated

ambient concentrations with available monitored values. Many model predictions are poorly

correlated with hourly observations paired in time and space, particularly if emissions and

meteorological inputs are not optimised to actual site conditions. For routine model applications, the

predicted absolute maximum is typically accurate within a factor of two, and the observed and

predicted values are within a factor of two of each other about 30-50% of the time. However, models

can simulate the ground-level patterns of concentration fairly well and more finely tuned models can

perform more accurately. Nevertheless, the most suitable and robust approach to model validation is

to compare statistical performance of predictions against measurements.

Uncertainties in monitored data, such as localised emission sources (for example dirt roads adjacent to

monitoring sites) mean monitored values may not be truly representative of the scale of variability of

dust levels in Port Hedland as a whole. Therefore, error analyses that relate model results to monitoring

stations may reflect as much uncertainty in the monitoring data as in the model data. A better criterion

for the evaluation of model results is the comparison of the frequency distribution for high values.

To validate the AUSPLUME model and confirm its effectiveness as a predictor of present and future

ground level concentrations, frequency distributions of estimates of PM10 and TSP ground level

concentrations were compared with ambient dust levels at current monitoring locations within the

town of Port Hedland. The daily average PM10 concentrations measured at the Harbour and Hospital

monitors during 2004 and 2005 are shown in Figure B.1. As input for validation, the model simulated the

operations that occurred during 2004/2005, with actual ore tonnages and ore moisture used to

estimate the dust generated from the various plant, stockpiles and vehicles. The strength, frequency

and location of the various on- and off-site sources were “fine-tuned” in the validation process.



Figure B.1: Daily Average PM10 Concentrations as Measured at Port Hedland during 2004/2005

The ability of the modelling package to predict dust concentrations within the town of Port Hedland is

evidenced from Figure B.2 to Figure B.5. These graphs compare the frequency distributions of PM10

concentrations predicted by the model for the year 2004/2005 with those concentrations recorded at

the residential monitors over the same period. From these figures it can be seen that the model has a

tendency for over-prediction at both the Harbour and the Hospital monitoring stations for PM10 while

there is a tendency for under-prediction for TSP.

Figure B.2: PM10 Calibration for 2004/2005 at the Harbour Monitor

0

20

40

60

80

100

120

27-06-2004 16-08-2004 05-10-2004 24-11-2004 13-01-2005 04-03-2005 23-04-2005 12-06-2005

Co

nc

en

tra

tio

n (

ug

/m3)

Town Centre

Hospital

Weather Bureau

0%

10%

20%

30%

40%

50%

60%

70%

less than

20

20 - 30 30 - 40 40 - 50 50 - 60 60 - 70 70 - 80 80 - 90 90 - 100 100 - 110 110 - 120

Category (ug/m3)

Pe

rce

nta

ge

in

Ca

teg

ory

0

10

20

30

40

50

60

70

80

90

100

Cu

mu

lati

ve

Fre

qu

en

cy

Modelled

Monitored

Modelled Cumulative Percentage

Monitored Cumulative Percentage



Figure B.3: PM10 Calibration for 2004/2005 at the Hospital Monitor

Figure B.4: TSP Calibration for 2004/2005 at the Harbour Monitor

0%

10%

20%

30%

40%

50%

60%

70%

less than

20

20 - 30 30 - 40 40 - 50 50 - 60 60 - 70 70 - 80 80 - 90 90 - 100 100 - 110 110 - 120

Category (ug/m3)

Pe

rce

nta

ge

in

Ca

teg

ory

0

10

20

30

40

50

60

70

80

90

100

Cu

mu

lati

ve

Fre

qu

en

cy

Modelled

Monitored



0%

10%

20%

30%

40%

50%

60%

70%

less

than

20

20 -

40

40 -

60

60 -

80

80 -

100

100

- 120

120

- 140

140

- 160

160

- 180

180

- 200

200

- 220

220

- 240

240

- 260

260

- 280

280

- 300

Category (ug/m3)

Perc

en

tag

e i

n C

ate

go

ry

0

10

20

30

40

50

60

70

80

90

100

Cu

mu

lati

ve

Fre

qu

en

cy

Modelled

Monitored





Figure B.5: TSP Calibration for 2004/2005 at the Hospital Monitor

0%

5%

10%

15%

20%

25%

30%

35%

less

than

20

20 -

40

40 -

60

60 -

80

80 -

100

100

- 120

120

- 140

140

- 160

160

- 180

180

- 200

200

- 220

220

- 240

240

- 260

260

- 280

280

- 300

Category (ug/m3)

Perc

en

tag

e i

n C

ate

go

ry

0

10

20

30

40

50

60

70

80

90

100

Cu

mu

lati

ve

Fre

qu

en

cy

Modelled

Monitored



Appendix C - Dust Mitigation Studies.docx C-1


Appendix C DUST MITIGATION STUDIES



C. 1. Background

BHP Billiton Iron Ore has implemented a series of expansion and optimisation projects at Port Hedland to

increase iron ore throughput to meet the growing demand for iron ore.

As part of these expansion projects, BHP Billiton Iron Ore is committed to reducing emissions of

particulate matter from its operations to meet ambient targets as outlined in Ministerial Statement 740.

To assist in reducing emissions from the Port Hedland operations a series of research and development

(R&D) projects has been implemented to investigate and trial alternative abatement technologies. The

following sections contain a summary of the results of the dust abatement R&D projects for this project.

C. 2. Chemical Surfactants

An R&D project was conducted with the chemical surfactant ‘Gluon 500’, manufactured by Rainstorm

(a Perth based company), to determine its effectiveness at reducing dust generated by wind erosion

from stockpiles and open areas within operational areas.

To determine the effectiveness of this product, a field trial was conducted in the Eastern and Western

Stockyards on Finucane Island from 17–30 November 2009. During this period, two MAC fines stockpiles

and one Yandi fines stockpile were treated with the Gluon 500 product along with the open areas

between the stockpiles. The automated water cannons along the treated stockpiles were isolated to

prevent the water from eroding the stockpile surface (SKM 2010).

PM10 emissions were sampled, utilising a TSI model 8520 DustTrak aerosol monitoring unit, for both

treated and untreated stockpiles and open areas. Visually, the chemical surfactant was observed to

significantly reduce wind erosion. Results of the monitoring data show the chemical surfactant is

capable of:

� reducing wind erosion from non-trafficked open areas by up to 98% (SKM 2010).

C. 3 Internal Fogging Systems

A field trial was conducted from October to November 2009 to investigate the effectiveness of a TRC

(The Raring Corporation) dust reduction fogging system installed at the P118 conveyor on the

shiploading jetty at the BHP Billiton Iron Ore Nelson Point operations. During this period, a TSI model 8520

DustTrak was operated on the downwind side of the P118 conveyor aligned to face into the wind.

Measurements were taken while loading Newman high grade lump and Yandi lump products. Control

samples were taken with the fogging system off and compared to the experimental sample with the

system on (SKM 2010a).

Visually, the fogging system was observed to improve visibility in the immediate area. Results of the

monitoring data show the fogging system, in its current design, is capable of producing:

� a reduction in emissions of 41% for Yandi Lump with a standard deviation of 13 percentage points;

and

� a reduction in emissions of 36% for Newman high grade Lump with a standard deviation of 15

percentage points.

These reductions are comparable to the performance of the wet scrubbers used on site which have

previously recorded emission reductions varying from 17% to 52% (SKM 2010a).



C. 4 Conveyor Belt Wash Stations

From 7–10 April 2010, a field trial was conducted at the BHP Billiton Iron Ore operations in Port Hedland

to determine the effectiveness of conveyor belt wash stations in reducing fugitive dust emissions from

conveyors. Monitoring was conducted at two transfer stations namely TS810 on Finucane Island and

TS505 at Nelson Point. TS810 is effectively a dual transfer station in that it has two incoming and two

outgoing conveyors which feed shiploaders 3 and 4, while TS505 is a single transfer station that has a

belt rollover arrangement. The sampling methodology used in this assessment was identical to that used

in previous assessments of emissions at the BHP Billiton Iron Ore operations in Port Hedland (SKM 2006).

The results of the sampling demonstrate that by having an operational belt wash station:

� an average emission reduction of approximately 40% with MAC and Yandi fines can be achieved

at a dual transfer station;

� an average emission reduction of 61% when a dual transfer station has both conveyors handling

Yandi fines, potentially due to the greater propensity of this material to adhere to conveyors

resulting in a higher than normal emission rate from the return conveyor; and

� an emission reduction of 72% for any conveyor that has a belt rollover arrangement (SKM 2010b).

Appendix D - Variable Emission Files.docx D-1


Appendix D VARIABLE EMISSIONS FILE



D. 1 Project-270Mtpa (Base Case)

Module

AERMOD

ID Name Maximum

Percentiles

99th 95th 90th 70th Average

Eastern

Stockyard

CD4Sd Car dumper 4 Shed 0.1 0.1 0.1 0.1 0.1 0.05

CD4-t Car dumper 4 tunnel 0.2 0.2 0.2 0.1 0.1 0.09

CD4-c

Car dumper 4

conveyor 0.3 0.3 0.3 0.2 0.2 0.18

TS865 TS865 5.8 1.2 0.6 0.4 0.2 0.18

EY-S11 Stacker 11 17.6 2.6 1.2 0.8 0.1 0.24

EY-R8 Reclaimer 8 7.5 1.3 0.7 0.5 0.2 0.21

EY-S12 Stacker 12 10.5 2.4 1.2 0.7 0.1 0.22

EYBrol Conveyor roll over 0.2 0.1 0.1 0.1 0.1 0.03

HPSL1

Harriet Point

Shiploader 1 7.8 1.8 0.9 0.7 0.3 0.27

HPSL2

Harriet Point

Shiploader 2 7.5 1.7 0.9 0.6 0.3 0.25

TS890 TS890 5.8 1.1 0.6 0.4 0.2 0.20

TS809 TS809 0.7 0.2 0.1 0.1 0.0 0.03

TS901 TS901 1.3 0.3 0.2 0.1 0.1 0.05

CD5 Car dumper 5 Shed 0.1 0.1 0.1 0.1 0.1 0.05


CD5-c

Car dumper 5

conveyor 0.3 0.3 0.3 0.2 0.2 0.19

TS910 TS910 4.2 0.9 0.5 0.3 0.2 0.14

TS911 TS911 3.9 0.8 0.4 0.3 0.1 0.10

TS913 TS913 3.9 0.7 0.3 0.2 0.1 0.07

TS982 TS982 2.4 0.8 0.4 0.3 0.1 0.08

TS983 TS983 3.0 0.8 0.4 0.3 0.1 0.08

TS987 TS987 1.5 0.2 0.1 0.1 0.0 0.03

TS985 TS985 9.8 1.1 0.5 0.3 0.0 0.09

TS982 TS982 5.8 0.9 0.5 0.3 0.0 0.09

EY-SW1

Stockpile wind erosion

1 44.4 7.2 0.6 0.0 0.0 0.26

EY-SW2


2 39.6 7.2 0.6 0.0 0.0 0.26

EY-A1

Open area wind

erosion 57.3 2.0 1.5 0.0 0.0 0.21

Nelson

Point

CD1 Car Dumper 1 0.06 0.06 0.06 0.06 0.06 0.05

CD1t

Car Dumper 1 (tunnel

exit) 0.17 0.17 0.17 0.10 0.10 0.09

CD1c

Car Dumper 1

conveyor 0.34 0.34 0.34 0.34 0.34 0.29



Module

AERMOD

ID Name Maximum

Percentiles


CD2 Car Dumper 2 0.06 0.06 0.06 0.06 0.06 0.04

CD2t


exit) 0.17 0.17 0.17 0.10 0.10 0.08

CD2c

Car Dumper 2

conveyor 0.34 0.34 0.34 0.34 0.34 0.25

CD3 Car Dumper 3 0.06 0.06 0.06 0.06 0.06 0.05

CD3t


exit) 0.17 0.17 0.17 0.10 0.10 0.09

CD3c

Car Dumper 3

conveyor 0.34 0.34 0.34 0.34 0.34 0.28

TS350

Transfer Station 350

(includes TS1, TS350,

TS201) 9.81 2.22 1.15 0.84 0.42 0.38

TS3_4

Transfer Station TS3/4

(incoming ore to the

north yard) 6.95 1.93 0.86 0.57 0.20 0.21

TS775 Transfer Station TS775 8.68 1.66 0.80 0.52 0.16 0.18

TS354

Transfer Station

TS354/TS2 6.74 1.22 0.62 0.40 0.13 0.14



P503 Conveyor P503 0.26 0.13 0.10 0.10 0.00 0.03

ST5 Stacker ST5 29.35 4.48 1.89 1.11 0.21 0.38

ST6 Stacker ST6 27.14 4.66 2.12 1.24 0.23 0.42

ST7 Stacker ST7 26.14 5.21 2.55 1.57 0.27 0.49

ST8 Stacker ST8 23.45 4.19 1.98 1.17 0.15 0.37

Rec5

Bucket wheel

Reclaimer BWR5 13.30 1.96 1.15 0.83 0.38 0.33

Rec6

Bucket wheel

Reclaimer BWR6 12.60 1.99 1.07 0.76 0.33 0.30



LRP1

Lump Rescreening

Plant No.1 2.69 1.79 1.42 1.14 0.79 0.40

LRP3

Lump Rescreening

Plant No.3 2.84 1.83 1.50 1.26 0.87 0.49


TS250

Transfer Station

TS250/TS204 8.94 1.23 0.54 0.36 0.12 0.12




Module

AERMOD

ID Name Maximum

Percentiles




SL1 Shiploader SL1 8.84 2.14 1.19 0.83 0.34 0.30

SL2 Shiploader SL2 8.91 2.43 1.25 0.88 0.36 0.33

PA-SP

Transfer Stations near

shiploaders 1 & 2

(TS207, TS20, TS8, TS7,

TS506 etc) 15.34 3.89 2.19 1.55 0.72 0.65

SL5 Burgess Point SL1 12.63 1.80 0.95 0.68 0.28 0.24

SL6 Burgess Point SL2 13.00 2.09 1.09 0.75 0.30 0.27





A1


in "A" area 57.80 9.67 1.01 0.03 0.00 0.38

B2


in "B" area 104.09 12.49 1.18 0.04 0.00 0.47

TCB1W

Tertiary Crushing

Building No.1 - wind

erosion 38.09 7.16 1.18 0.44 0.00 0.29

TCB2W

Tertiary Crushing


erosion 26.73 5.03 0.83 0.31 0.00 0.20

TS350W

Transfer Station 350 -

wind erosion 33.42 6.28 1.04 0.38 0.00 0.25

LRP3W

Tertiary Screening

Building 2 - wind

erosion 25.39 6.13 1.04 0.39 0.00 0.25

SYWIND

Open area wind

erosion in South Yard

(TS501,502,503) 28.56 6.90 1.17 0.44 0.00 0.28

SYWE2

Wind erosion south

yard stockpiles 2 59.96 6.44 0.63 0.02 0.00 0.27

SYWE3

Wind erosion south

yard stockpiles 3 59.96 7.53 0.59 0.02 0.00 0.27



Module

AERMOD

ID Name Maximum

Percentiles


Western

Stockyard








Stk9 Stacker 9 25.2 5.3 2.7 1.8 0.7 0.66

Stk10 Stacker 10 27.4 3.4 1.5 0.8 0.1 0.28

Rec7 reclaimer 7 14.7 1.9 1.1 0.7 0.3 0.28

broll Belt rollover P804 0.3 0.1 0.1 0.0 0.0 0.01

rlrp

Lump Rescreening

Plant No.2 2.0 1.6 1.3 1.2 0.8 0.38

SL7

Harriet Point Ship

Loader 1 6.9 1.7 1.0 0.7 0.3 0.28

SL8

Harriet Point Ship

Loader 2 9.7 1.8 0.9 0.7 0.3 0.27


Rec10 Reclaimer 10 4.1 1.4 0.7 0.5 0.1 0.14


Stock1


1 60.0 8.8 0.6 0.0 0.0 0.29

Stock2


2 52.0 7.6 0.7 0.0 0.0 0.31

Area1

Open area wind

erosion 61.3 18.4 1.5 0.0 0.0 0.58

WWYSW1


1 (new yard to the

west of WWY) 119.9 17.6 1.3 0.0 0.0 0.57

WWYA1


1 (new yard to the

west of WWY) 61.3 18.4 1.5 0.0 0.0 0.58





D. 2 Project-290Mtpa

Module

AERMOD

ID Name Maximum

Percentiles


Eastern

Stockyard

CD4Sd Car dumper 4 Shed 0.1 0.1 0.1 0.1 0.1 0.05


CD4-c

Car dumper 4

conveyor

0.3 0.3 0.3 0.2 0.2 0.19

TS865 TS865 8.2 1.5 0.7 0.5 0.2 0.23

EY-S11 Stacker 11 8.6 2.9 1.3 0.8 0.2 0.26

EY-R8 Reclaimer 8 9.9 1.4 0.8 0.6 0.3 0.23

EY-S12 Stacker 12 17.1 2.7 1.3 0.8 0.1 0.25

EYBrol Conveyor roll over 0.2 0.1 0.1 0.1 0.1 0.03

HPSL1

Harriet Point

Shiploader 1

7.7 1.8 1.0 0.7 0.3 0.29

HPSL2

Harriet Point

Shiploader 2

12.3 1.8 1.0 0.7 0.3 0.29

TS890 TS890 7.3 1.3 0.7 0.5 0.3 0.22

TS809 TS809 1.0 0.2 0.1 0.1 0.0 0.03

TS901 TS901 1.3 0.3 0.2 0.1 0.1 0.06

CD5 Car dumper 5 Shed 0.1 0.1 0.1 0.1 0.1 0.05


CD5-c

Car dumper 5

conveyor

0.3 0.3 0.3 0.2 0.2 0.20

TS910 TS910 9.1 1.1 0.5 0.4 0.2 0.17

TS911 TS911 9.5 0.9 0.4 0.3 0.1 0.12

TS913 TS913 5.8 0.8 0.4 0.2 0.1 0.08

TS982 TS982 4.9 0.9 0.5 0.3 0.1 0.11

TS983 TS983 3.1 0.9 0.5 0.3 0.1 0.11

TS987 TS987 0.8 0.2 0.1 0.1 0.0 0.03

TS985 TS985 3.9 1.1 0.5 0.3 0.1 0.10

TS982 TS982 5.7 1.0 0.5 0.3 0.1 0.09

EY-SW1


1

52.0 7.6 0.7 0.0 0.0 0.29

EY-SW2


2

46.3 7.1 0.6 0.0 0.0 0.27

EY-A1

Open area wind

erosion

57.3 2.0 1.5 0.0 0.0 0.21

Nelson

Point

CD1 Car Dumper 1 0.06 0.06 0.06 0.06 0.06 0.05

CD1t


exit)

0.17 0.17 0.17 0.10 0.10 0.09



Module

AERMOD

ID Name Maximum

Percentiles


CD1c

Car Dumper 1

conveyor

0.34 0.34 0.34 0.34 0.34 0.29

CD2 Car Dumper 2 0.06 0.06 0.06 0.06 0.06 0.05

CD2t


exit)

0.17 0.17 0.17 0.10 0.10 0.09

CD2c

Car Dumper 2

conveyor

0.34 0.34 0.34 0.34 0.34 0.27

CD3 Car Dumper 3 0.06 0.06 0.06 0.06 0.06 0.05

CD3t


exit)

0.17 0.17 0.17 0.10 0.10 0.09

CD3c

Car Dumper 3

conveyor

0.34 0.34 0.34 0.34 0.34 0.27

TS350

Transfer Station 350

(includes TS1, TS350,

TS201)

29.02 2.81 1.33 0.95 0.47 0.44

TS3_4

Transfer Station TS3/4

(incoming ore to the

north yard)

7.23 1.63 0.75 0.51 0.18 0.18


TS354

Transfer Station

TS354/TS2

12.54 1.35 0.64 0.41 0.14 0.15



P503 Conveyor P503 0.25 0.12 0.10 0.10 0.00 0.02

ST5 Stacker ST5 14.32 4.15 1.71 0.98 0.17 0.34

ST6 Stacker ST6 43.27 5.99 2.91 1.81 0.36 0.59

ST7 Stacker ST7 77.18 5.23 2.18 1.22 0.19 0.44

ST8 Stacker ST8 28.22 5.49 2.44 1.51 0.28 0.49

Rec5

Bucket wheel

Reclaimer BWR5

11.52 2.31 1.22 0.88 0.40 0.35

Rec6

Bucket wheel

Reclaimer BWR6

11.56 2.04 1.09 0.78 0.36 0.32



LRP1

Lump Rescreening

Plant No.1

2.17 1.58 1.33 1.20 0.90 0.44

LRP3

Lump Rescreening

Plant No.3

2.20 1.58 1.31 1.18 0.89 0.43

TS603 Transfer Station TS603

6.83 1.41 0.62 0.39 0.10 0.13

TS250

Transfer Station

TS250/TS204

10.07 1.31 0.59 0.39 0.10 0.13



Module

AERMOD

ID Name Maximum

Percentiles



5.46 1.03 0.52 0.36 0.13 0.12


5.46 1.00 0.52 0.36 0.13 0.12


8.92 1.73 0.90 0.61 0.18 0.19

SL1 Shiploader SL1

15.52 2.36 1.16 0.84 0.36 0.32

SL2 Shiploader SL2

10.26 2.38 1.27 0.88 0.38 0.33

PA-SP

Transfer Stations near

shiploaders 1 & 2

(TS207, TS20, TS8, TS7,

TS506 etc)

22.08 4.20 2.08 1.54 0.74 0.67

SL5 Burgess Point SL1

6.97 1.61 0.89 0.64 0.31 0.26

SL6 Burgess Point SL2

11.10 1.63 0.90 0.63 0.30 0.26


4.88 0.99 0.53 0.38 0.18 0.16


2.71 0.57 0.31 0.23 0.12 0.10



12.01 1.46 0.72 0.46 0.17 0.17

A1


in "A" area

46.26 9.96 0.96 0.03 0.00 0.37

B2


in "B" area

118.59 15.50 1.17 0.04 0.00 0.50

TCB1W

Tertiary Crushing


erosion

38.09 7.16 1.18 0.44 0.00 0.29

TCB2W

Tertiary Crushing


erosion

26.73 5.03 0.83 0.31 0.00 0.20

TS350W

Transfer Station 350 -

wind erosion

33.42 6.28 1.04 0.38 0.00 0.25

LRP3W

Tertiary Screening

Building 2 - wind

erosion

25.39 6.13 1.04 0.39 0.00 0.25

SYWIND

Open area wind

erosion in South Yard

(TS501,502,503)

28.56 6.90 1.17 0.44 0.00 0.28

SYWE2

Wind erosion south

yard stockpiles 2

57.28 7.56 0.59 0.02 0.00 0.25



Module

AERMOD

ID Name Maximum

Percentiles


SYWE3

Wind erosion south

yard stockpiles 3

46.29 7.88 0.61 0.02 0.00 0.26

Western

Stockyard






1.8 0.3 0.2 0.1 0.1 0.06



5.4 1.3 0.7 0.5 0.2 0.22

Stk9 Stacker 9 54.5 7.1 3.2 2.1 0.7 0.76

Stk10 Stacker 10 22.9 4.8 1.9 1.0 0.1 0.36

Rec7 reclaimer 7 11.5 1.8 0.9 0.6 0.2 0.22

broll Belt rollover P804 0.2 0.1 0.0 0.0 0.0 0.01

rlrp

Lump Rescreening

Plant No.2

2.2 1.6 1.3 1.2 1.0 0.52

SL7

Harriet Point Ship

Loader 1

10.0 2.1 1.1 0.8 0.4 0.32

SL8

Harriet Point Ship

Loader 2

8.1 2.1 1.1 0.8 0.4 0.33


Rec10 Reclaimer 10 5.8 1.6 0.8 0.6 0.2 0.18


Stock1


1

60.9 7.3 0.6 0.0 0.0 0.26

Stock2


2

57.3 7.6 0.7 0.0 0.0 0.36

Area1

Open area wind

erosion

52.7 2.3 1.5 0.0 0.0 0.23

WWYSW1


1 (new yard to the

west of WWY)

121.7 14.7 1.3 0.0 0.0 0.52

WWYA1


1 (new yard to the

west of WWY)

61.3 18.4 1.5 0.0 0.0 0.58

**

****************************************

**

** AERMOD INPUT PRODUCED BY:

** AERMOD VIEW VER. 9.0.0

** LAKES ENVIRONMENTAL SOFTWARE INC.

** DATE: 6/11/2015

** FILE: C:\JOBS\20851\BHP\BHP_FI_VEH\BHP_FI_VEH.ADI

**

****************************************

**

**

****************************************

** AERMOD CONTROL PATHWAY

****************************************

**

**

CO STARTING

TITLEONE RUN6A AERMET - BHP FI VEHILES

MODELOPT CONC DRYDPLT WETDPLT BETA LOWWIND2

AVERTIME 1 24 ANNUAL

POLLUTID PM_10

RUNORNOT RUN

ERRORFIL BHP_FI_VEH.ERR

CO FINISHED

**

****************************************

** AERMOD SOURCE PATHWAY

****************************************

**

**

SO STARTING

** SOURCE LOCATION **

** SOURCE ID - TYPE - X COORD. - Y COORD. **

LOCATION V_L1_1 VOLUME 662728.000 7753849.000 8.290









LOCATION V_L110 VOLUME 663183.000 7754592.000 12.710



















































** SOURCE PARAMETERS **

SRCPARAM V_L1_1 1.0 0.500 25.000 0.250

SRCPARAM V_L1_2 1.0 0.500 25.000 0.250

SRCPARAM V_L1_3 1.0 0.500 25.000 0.250

SRCPARAM V_L1_4 1.0 0.500 25.000 0.250

SRCPARAM V_L1_5 1.0 0.500 25.000 0.250

SRCPARAM V_L1_6 1.0 0.500 25.000 0.250

SRCPARAM V_L1_7 1.0 0.500 25.000 0.250

SRCPARAM V_L1_8 1.0 0.500 25.000 0.250

SRCPARAM V_L1_9 1.0 0.500 25.000 0.250

SRCPARAM V_L110 1.0 0.500 25.000 0.250

SRCPARAM V_L111 1.0 0.500 25.000 0.250

SRCPARAM V_L112 1.0 0.500 25.000 0.250

SRCPARAM V_L113 1.0 0.500 25.000 0.250

SRCPARAM V_L2_1 1.0 0.500 25.000 0.250

SRCPARAM V_L2_2 1.0 0.500 25.000 0.250

SRCPARAM V_L2_3 1.0 0.500 25.000 0.250

SRCPARAM V_L2_4 1.0 0.500 25.000 0.250

SRCPARAM V_L2_5 1.0 0.500 25.000 0.250

SRCPARAM V_L2_6 1.0 0.500 25.000 0.250

SRCPARAM V_L2_7 1.0 0.500 25.000 0.250

SRCPARAM V_L2_8 1.0 0.500 25.000 0.250

SRCPARAM V_L2_9 1.0 0.500 25.000 0.250

SRCPARAM V_L3_1 1.0 0.500 25.000 0.250

SRCPARAM V_L3_2 1.0 0.500 25.000 0.250

SRCPARAM V_L3_3 1.0 0.500 25.000 0.250

SRCPARAM V_L3_4 1.0 0.500 25.000 0.250

SRCPARAM V_L3_5 1.0 0.500 25.000 0.250

SRCPARAM V_L3_6 1.0 0.500 25.000 0.250

SRCPARAM V_L3_7 1.0 0.500 25.000 0.250

SRCPARAM V_L3_8 1.0 0.500 25.000 0.250

SRCPARAM V_L3_9 1.0 0.500 25.000 0.250

SRCPARAM V_L310 1.0 0.500 25.000 0.250

SRCPARAM V_L311 1.0 0.500 25.000 0.250

SRCPARAM V_L4_1 1.0 0.500 25.000 0.250

SRCPARAM V_L4_2 1.0 0.500 25.000 0.250

SRCPARAM V_L4_3 1.0 0.500 25.000 0.250

SRCPARAM V_L4_4 1.0 0.500 25.000 0.250

SRCPARAM V_L4_5 1.0 0.500 25.000 0.250

SRCPARAM V_L4_6 1.0 0.500 25.000 0.250

SRCPARAM V_L4_7 1.0 0.500 25.000 0.250

SRCPARAM V_L5_1 1.0 0.500 25.000 0.250

SRCPARAM V_L5_2 1.0 0.500 25.000 0.250

SRCPARAM V_L5_3 1.0 0.500 25.000 0.250

SRCPARAM V_L5_4 1.0 0.500 25.000 0.250

SRCPARAM V_L5_5 1.0 0.500 25.000 0.250

SRCPARAM V_L5_6 1.0 0.500 25.000 0.250

SRCPARAM V_L5_7 1.0 0.500 25.000 0.250

SRCPARAM V_L5_8 1.0 0.500 25.000 0.250

SRCPARAM V_L5_9 1.0 0.500 25.000 0.250

SRCPARAM V_L6_1 1.0 0.500 25.000 0.250

SRCPARAM V_L6_2 1.0 0.500 25.000 0.250

SRCPARAM V_L6_3 1.0 0.500 25.000 0.250

SRCPARAM V_L6_4 1.0 0.500 25.000 0.250

SRCPARAM V_L6_5 1.0 0.500 25.000 0.250

SRCPARAM V_L6_6 1.0 0.500 25.000 0.250

SRCPARAM V_L6_7 1.0 0.500 25.000 0.250

SRCPARAM V_L6_8 1.0 0.500 25.000 0.250

SRCPARAM V_L6_9 1.0 0.500 25.000 0.250

SRCPARAM V_L610 1.0 0.500 25.000 0.250

SRCPARAM V_L611 1.0 0.500 25.000 0.250

PARTDIAM V_L1_1 1 4 7 9









PARTDIAM V_L110 1 4 7 9



















































MASSFRAX V_L1_1 0.31 0.26 0.23 0.2

MASSFRAX V_L1_2 0.31 0.26 0.23 0.2

MASSFRAX V_L1_3 0.31 0.26 0.23 0.2

MASSFRAX V_L1_4 0.31 0.26 0.23 0.2

MASSFRAX V_L1_5 0.31 0.26 0.23 0.2

MASSFRAX V_L1_6 0.31 0.26 0.23 0.2

MASSFRAX V_L1_7 0.31 0.26 0.23 0.2

MASSFRAX V_L1_8 0.31 0.26 0.23 0.2

MASSFRAX V_L1_9 0.31 0.26 0.23 0.2

MASSFRAX V_L110 0.31 0.26 0.23 0.2

MASSFRAX V_L111 0.31 0.26 0.23 0.2

MASSFRAX V_L112 0.31 0.26 0.23 0.2

MASSFRAX V_L113 0.31 0.26 0.23 0.2

MASSFRAX V_L2_1 0.31 0.26 0.23 0.2

MASSFRAX V_L2_2 0.31 0.26 0.23 0.2

MASSFRAX V_L2_3 0.31 0.26 0.23 0.2

MASSFRAX V_L2_4 0.31 0.26 0.23 0.2

MASSFRAX V_L2_5 0.31 0.26 0.23 0.2

MASSFRAX V_L2_6 0.31 0.26 0.23 0.2

MASSFRAX V_L2_7 0.31 0.26 0.23 0.2

MASSFRAX V_L2_8 0.31 0.26 0.23 0.2

MASSFRAX V_L2_9 0.31 0.26 0.23 0.2

MASSFRAX V_L3_1 0.31 0.26 0.23 0.2

MASSFRAX V_L3_2 0.31 0.26 0.23 0.2

MASSFRAX V_L3_3 0.31 0.26 0.23 0.2

MASSFRAX V_L3_4 0.31 0.26 0.23 0.2

MASSFRAX V_L3_5 0.31 0.26 0.23 0.2

MASSFRAX V_L3_6 0.31 0.26 0.23 0.2

MASSFRAX V_L3_7 0.31 0.26 0.23 0.2

MASSFRAX V_L3_8 0.31 0.26 0.23 0.2

MASSFRAX V_L3_9 0.31 0.26 0.23 0.2

MASSFRAX V_L310 0.31 0.26 0.23 0.2

MASSFRAX V_L311 0.31 0.26 0.23 0.2

MASSFRAX V_L4_1 0.31 0.26 0.23 0.2

MASSFRAX V_L4_2 0.31 0.26 0.23 0.2

MASSFRAX V_L4_3 0.31 0.26 0.23 0.2

MASSFRAX V_L4_4 0.31 0.26 0.23 0.2

MASSFRAX V_L4_5 0.31 0.26 0.23 0.2

MASSFRAX V_L4_6 0.31 0.26 0.23 0.2

MASSFRAX V_L4_7 0.31 0.26 0.23 0.2

MASSFRAX V_L5_1 0.31 0.26 0.23 0.2

MASSFRAX V_L5_2 0.31 0.26 0.23 0.2

MASSFRAX V_L5_3 0.31 0.26 0.23 0.2

MASSFRAX V_L5_4 0.31 0.26 0.23 0.2

MASSFRAX V_L5_5 0.31 0.26 0.23 0.2

MASSFRAX V_L5_6 0.31 0.26 0.23 0.2

MASSFRAX V_L5_7 0.31 0.26 0.23 0.2

MASSFRAX V_L5_8 0.31 0.26 0.23 0.2

MASSFRAX V_L5_9 0.31 0.26 0.23 0.2

MASSFRAX V_L6_1 0.31 0.26 0.23 0.2

MASSFRAX V_L6_2 0.31 0.26 0.23 0.2

MASSFRAX V_L6_3 0.31 0.26 0.23 0.2

MASSFRAX V_L6_4 0.31 0.26 0.23 0.2

MASSFRAX V_L6_5 0.31 0.26 0.23 0.2

MASSFRAX V_L6_6 0.31 0.26 0.23 0.2

MASSFRAX V_L6_7 0.31 0.26 0.23 0.2

MASSFRAX V_L6_8 0.31 0.26 0.23 0.2

MASSFRAX V_L6_9 0.31 0.26 0.23 0.2

MASSFRAX V_L610 0.31 0.26 0.23 0.2

MASSFRAX V_L611 0.31 0.26 0.23 0.2

PARTDENS V_L1_1 1 1 1 1









PARTDENS V_L110 1 1 1 1



















































HOUREMIS FI_ALL_VARIABLE_SOURCE_VEHICLES.TXT V_L1_1 V_L1_2 V_L1_3



HOUREMIS FI_ALL_VARIABLE_SOURCE_VEHICLES.TXT V_L110 V_L111 V_L112

HOUREMIS FI_ALL_VARIABLE_SOURCE_VEHICLES.TXT V_L113 V_L2_1 V_L2_2






HOUREMIS FI_ALL_VARIABLE_SOURCE_VEHICLES.TXT V_L3_9 V_L310 V_L311









HOUREMIS FI_ALL_VARIABLE_SOURCE_VEHICLES.TXT V_L6_9 V_L610 V_L611

SRCGROUP V_L1 V_L1_1 V_L1_2 V_L1_3 V_L1_4 V_L1_5 V_L1_6 V_L1_7 V_L1_8

SRCGROUP V_L1 V_L1_9 V_L110 V_L111 V_L112 V_L113


SRCGROUP V_L2 V_L2_9


SRCGROUP V_L3 V_L3_9 V_L310 V_L311

SRCGROUP V_L4 V_L4_1 V_L4_2 V_L4_3 V_L4_4 V_L4_5 V_L4_6 V_L4_7


SRCGROUP V_L5 V_L5_9


SRCGROUP V_L6 V_L6_9 V_L610 V_L611

SRCGROUP ALL

SO FINISHED

**

****************************************

** AERMOD RECEPTOR PATHWAY

****************************************

**

**

RE STARTING

INCLUDED BHP_FI_VEH.ROU

RE FINISHED

**

****************************************

** AERMOD METEOROLOGY PATHWAY

****************************************

**

**

ME STARTING

SURFFILE 6866_RUN6A_6FEB2015.SFC

PROFFILE 6866_RUN6A_6FEB2015.PFL

SURFDATA 0 2013

UAIRDATA 54321 2013

SITEDATA 1 2013

PROFBASE 9.0 METERS

ME FINISHED

**

****************************************

** AERMOD OUTPUT PATHWAY

****************************************

**

**

OU STARTING

RECTABLE ALLAVE 1ST

RECTABLE 1 1ST

RECTABLE 24 1ST

POSTFILE 1 ALL PLOT BHP_FI_VEH.AD\01_GALL.POS 31

POSTFILE 24 ALL PLOT BHP_FI_VEH.AD\24_GALL.POS 32

POSTFILE 24 V_L1 PLOT BHP_FI_VEH.AD\24_GV_L1.POS 33






POSTFILE ANNUAL ALL PLOT BHP_FI_VEH.AD\AN_GALL.POS 39

** AUTO-GENERATED PLOTFILES

PLOTFILE 24 ALL 1ST BHP_FI_VEH.AD\24H1GALL.PLT 40

PLOTFILE 24 V_L1 1ST BHP_FI_VEH.AD\24H1G001.PLT 41






PLOTFILE ANNUAL ALL BHP_FI_VEH.AD\AN00GALL.PLT 47

PLOTFILE ANNUAL V_L1 BHP_FI_VEH.AD\AN00G001.PLT 48






SUMMFILE BHP_FI_VEH.SUM

OU FINISHED

*** Message Summary For AERMOD Model Setup ***

--------- Summary of Total Messages --------

A Total of 0 Fatal Error Message(s)

A Total of 4 Warning Message(s)

A Total of 0 Informational Message(s)

******** FATAL ERROR MESSAGES ********

*** NONE ***

******** WARNING MESSAGES ********

CO W122 20 MODOPT: LowWind2 Beta Option specified on MODELOPT Keyword Non-DFAULT

CO W132 20 MODOPT: Minimum sigmav value (SVmin) for LowWind2 Beta Opt 0.3 m/s

CO W133 20 MODOPT: Maximum FRAN value (FRANmax) for LowWind2 Beta Opt 0.95

ME W187 391 MEOPEN: ADJ_U* Beta Option for Low Winds used in AERMET Non-DFAULT

***********************************

*** SETUP Finishes Successfully ***

***********************************

*** AERMOD - VERSION 14134 *** *** RUN6A AERMET - BHP FI VEHILES

*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 1

**MODELOPTs: NonDFAULT CONC ELEV DRYDPLT WETDPLT BETA LW2 ADJ_U*

*** MODEL SETUP OPTIONS SUMMARY ***

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - -

**Model Is Setup For Calculation of Average CONCentration Values.

-- DEPOSITION LOGIC --

**NO GAS DEPOSITION Data Provided.

**PARTICLE DEPOSITION Data Provided.

**Model Uses DRY DEPLETION. DDPLETE = T

**Model Uses WET DEPLETION. WETDPLT = T

**Model Uses RURAL Dispersion Only.

**Model Allows User-Specified Options:

1. Stack-tip Downwash.

2. Model Accounts for ELEVated Terrain Effects.

3. Use Calms Processing Routine.

4. Use Missing Data Processing Routine.

5. No Exponential Decay.

**Other Options Specified:

LOWWIND2 - Use LowWind2 BETA option

ADJ_U* - Use ADJ_U* BETA option for SBL in AERMET

**Model Assumes No FLAGPOLE Receptor Heights.

**The User Specified a Pollutant Type of: PM_10

**Model Calculates 2 Short Term Average(s) of: 1-HR 24-HR

and Calculates ANNUAL Averages

**This Run Includes: 60 Source(s); 7 Source Group(s); and 15 Receptor(s)

**Model Set To Continue RUNning After the Setup Testing.

**The AERMET Input Meteorological Data Version Date: 14134

**Output Options Selected:

Model Outputs Tables of ANNUAL Averages by Receptor

Model Outputs Tables of Highest Short Term Values by Receptor (RECTABLE Keyword)

Model Outputs External File(s) of Concurrent Values for Postprocessing (POSTFILE

Keyword)

Model Outputs External File(s) of High Values for Plotting (PLOTFILE Keyword)

Model Outputs Separate Summary File of High Ranked Values (SUMMFILE Keyword)

**NOTE: The Following Flags May Appear Following CONC Values: c for Calm Hours

m for Missing Hours

b for Both Calm and Missing

Hours

**Misc. Inputs: Base Elev. for Pot. Temp. Profile (m MSL) = 9.00 ; Decay Coef. =

0.000 ; Rot. Angle = 0.0

Emission Units = GRAMS/SEC ; Emission Rate

Unit Factor = 0.10000E+07

Output Units = MICROGRAMS/M**3

**Approximate Storage Requirements of Model = 3.6 MB of RAM.

**Detailed Error/Message File: BHP_FI_VEH.ERR

**File for Summary of Results: BHP_FI_VEH.SUM


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 2


*** VOLUME SOURCE DATA ***

NUMBER EMISSION RATE BASE RELEASE INIT. INIT.

URBAN EMISSION RATE

SOURCE PART. (GRAMS/SEC) X Y ELEV. HEIGHT SY SZ

SOURCE SCALAR VARY

ID CATS. (METERS) (METERS) (METERS) (METERS) (METERS) (METERS)

BY

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - -

V_L1_1 4 0.10000E+01 662728.0 7753849.0 8.3 0.50 25.00 0.25

NO HRLYSIG

V_L1_2 4 0.10000E+01 662779.0 7753950.0 8.0 0.50 25.00 0.25

NO HRLYSIG

V_L1_3 4 0.10000E+01 662824.0 7754041.0 7.7 0.50 25.00 0.25

NO HRLYSIG

V_L1_4 4 0.10000E+01 662877.0 7754140.0 6.1 0.50 25.00 0.25

NO HRLYSIG

V_L1_5 4 0.10000E+01 662921.0 7754227.0 6.6 0.50 25.00 0.25

NO HRLYSIG

V_L1_6 4 0.10000E+01 662972.0 7754326.0 11.1 0.50 25.00 0.25

NO HRLYSIG

V_L1_7 4 0.10000E+01 663022.0 7754419.0 13.0 0.50 25.00 0.25

NO HRLYSIG

V_L1_8 4 0.10000E+01 663061.0 7754495.0 13.4 0.50 25.00 0.25

NO HRLYSIG

V_L1_9 4 0.10000E+01 663106.0 7754585.0 13.1 0.50 25.00 0.25

NO HRLYSIG

V_L110 4 0.10000E+01 663183.0 7754592.0 12.7 0.50 25.00 0.25

NO HRLYSIG

V_L111 4 0.10000E+01 663263.0 7754549.0 13.0 0.50 25.00 0.25

NO HRLYSIG

V_L112 4 0.10000E+01 663362.0 7754496.0 13.1 0.50 25.00 0.25

NO HRLYSIG

V_L113 4 0.10000E+01 663428.0 7754460.0 13.5 0.50 25.00 0.25

NO HRLYSIG

V_L2_1 4 0.10000E+01 662703.0 7753746.0 10.1 0.50 25.00 0.25

NO HRLYSIG

V_L2_2 4 0.10000E+01 662737.0 7753634.0 11.2 0.50 25.00 0.25

NO HRLYSIG

V_L2_3 4 0.10000E+01 662783.0 7753534.0 12.0 0.50 25.00 0.25

NO HRLYSIG

V_L2_4 4 0.10000E+01 662837.0 7753482.0 12.1 0.50 25.00 0.25

NO HRLYSIG

V_L2_5 4 0.10000E+01 662828.0 7753374.0 12.5 0.50 25.00 0.25

NO HRLYSIG

V_L2_6 4 0.10000E+01 662865.0 7753447.0 12.2 0.50 25.00 0.25

NO HRLYSIG

V_L2_7 4 0.10000E+01 662902.0 7753533.0 9.8 0.50 25.00 0.25

NO HRLYSIG

V_L2_8 4 0.10000E+01 662953.0 7753527.0 9.2 0.50 25.00 0.25

NO HRLYSIG

V_L2_9 4 0.10000E+01 663007.0 7753619.0 8.6 0.50 25.00 0.25

NO HRLYSIG

V_L3_1 4 0.10000E+01 663057.0 7753713.0 9.1 0.50 25.00 0.25

NO HRLYSIG

V_L3_2 4 0.10000E+01 663104.0 7753808.0 11.4 0.50 25.00 0.25

NO HRLYSIG

V_L3_3 4 0.10000E+01 663148.0 7753907.0 15.1 0.50 25.00 0.25

NO HRLYSIG

V_L3_4 4 0.10000E+01 663188.0 7753992.0 15.5 0.50 25.00 0.25

NO HRLYSIG

V_L3_5 4 0.10000E+01 663233.0 7754089.0 13.0 0.50 25.00 0.25

NO HRLYSIG

V_L3_6 4 0.10000E+01 663286.0 7754182.0 13.2 0.50 25.00 0.25

NO HRLYSIG

V_L3_7 4 0.10000E+01 663335.0 7754280.0 12.4 0.50 25.00 0.25

NO HRLYSIG

V_L3_8 4 0.10000E+01 663393.0 7754365.0 12.6 0.50 25.00 0.25

NO HRLYSIG

V_L3_9 4 0.10000E+01 663449.0 7754452.0 13.9 0.50 25.00 0.25

NO HRLYSIG

V_L310 4 0.10000E+01 663471.0 7754545.0 13.6 0.50 25.00 0.25

NO HRLYSIG

V_L311 4 0.10000E+01 663555.0 7754582.0 14.8 0.50 25.00 0.25

NO HRLYSIG

V_L4_1 4 0.10000E+01 663634.0 7754521.0 17.4 0.50 25.00 0.25

NO HRLYSIG

V_L4_2 4 0.10000E+01 663644.0 7754415.0 17.1 0.50 25.00 0.25

NO HRLYSIG

V_L4_3 4 0.10000E+01 663654.0 7754321.0 14.5 0.50 25.00 0.25

NO HRLYSIG

V_L4_4 4 0.10000E+01 663661.0 7754210.0 12.5 0.50 25.00 0.25

NO HRLYSIG

V_L4_5 4 0.10000E+01 663631.0 7754114.0 11.9 0.50 25.00 0.25

NO HRLYSIG

V_L4_6 4 0.10000E+01 663581.0 7754011.0 14.6 0.50 25.00 0.25

NO HRLYSIG

V_L4_7 4 0.10000E+01 663542.0 7753933.0 14.3 0.50 25.00 0.25

NO HRLYSIG


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 3


*** VOLUME SOURCE DATA ***

NUMBER EMISSION RATE BASE RELEASE INIT. INIT.

URBAN EMISSION RATE

SOURCE PART. (GRAMS/SEC) X Y ELEV. HEIGHT SY SZ

SOURCE SCALAR VARY

ID CATS. (METERS) (METERS) (METERS) (METERS) (METERS) (METERS)

BY

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - -

V_L5_1 4 0.10000E+01 663527.0 7753843.0 12.8 0.50 25.00 0.25

NO HRLYSIG

V_L5_2 4 0.10000E+01 663496.0 7753721.0 10.9 0.50 25.00 0.25

NO HRLYSIG

V_L5_3 4 0.10000E+01 663449.0 7753638.0 12.0 0.50 25.00 0.25

NO HRLYSIG

V_L5_4 4 0.10000E+01 663397.0 7753548.0 12.6 0.50 25.00 0.25

NO HRLYSIG

V_L5_5 4 0.10000E+01 663336.0 7753463.0 11.6 0.50 25.00 0.25

NO HRLYSIG

V_L5_6 4 0.10000E+01 663260.0 7753383.0 11.6 0.50 25.00 0.25

NO HRLYSIG

V_L5_7 4 0.10000E+01 663191.0 7753380.0 11.2 0.50 25.00 0.25

NO HRLYSIG

V_L5_8 4 0.10000E+01 663102.0 7753397.0 10.0 0.50 25.00 0.25

NO HRLYSIG

V_L5_9 4 0.10000E+01 663024.0 7753438.0 9.7 0.50 25.00 0.25

NO HRLYSIG

V_L6_1 4 0.10000E+01 663425.0 7752921.0 9.7 0.50 25.00 0.25

NO HRLYSIG

V_L6_2 4 0.10000E+01 663381.0 7752997.0 9.6 0.50 25.00 0.25

NO HRLYSIG

V_L6_3 4 0.10000E+01 663307.0 7753077.0 11.9 0.50 25.00 0.25

NO HRLYSIG

V_L6_4 4 0.10000E+01 663283.0 7753184.0 11.1 0.50 25.00 0.25

NO HRLYSIG

V_L6_5 4 0.10000E+01 663235.0 7753265.0 12.3 0.50 25.00 0.25

NO HRLYSIG

V_L6_6 4 0.10000E+01 663156.0 7753319.0 11.1 0.50 25.00 0.25

NO HRLYSIG

V_L6_7 4 0.10000E+01 663079.0 7753361.0 10.0 0.50 25.00 0.25

NO HRLYSIG

V_L6_8 4 0.10000E+01 662997.0 7753321.0 10.4 0.50 25.00 0.25

NO HRLYSIG

V_L6_9 4 0.10000E+01 662917.0 7753352.0 12.1 0.50 25.00 0.25

NO HRLYSIG

V_L610 4 0.10000E+01 662861.0 7753264.0 12.7 0.50 25.00 0.25

NO HRLYSIG

V_L611 4 0.10000E+01 662835.0 7753217.0 12.0 0.50 25.00 0.25

NO HRLYSIG


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 4


*** SOURCE IDs DEFINING SOURCE GROUPS ***

SRCGROUP ID SOURCE IDs

----------- ----------

V_L1 V_L1_1 , V_L1_2 , V_L1_3 , V_L1_4 , V_L1_5 , V_L1_6

, V_L1_7 , V_L1_8 ,

V_L1_9 , V_L110 , V_L111 , V_L112 , V_L113 ,

V_L2 V_L2_1 , V_L2_2 , V_L2_3 , V_L2_4 , V_L2_5 , V_L2_6

, V_L2_7 , V_L2_8 ,

V_L2_9 ,

V_L3 V_L3_1 , V_L3_2 , V_L3_3 , V_L3_4 , V_L3_5 , V_L3_6

, V_L3_7 , V_L3_8 ,

V_L3_9 , V_L310 , V_L311 ,

V_L4 V_L4_1 , V_L4_2 , V_L4_3 , V_L4_4 , V_L4_5 , V_L4_6

, V_L4_7 ,

V_L5 V_L5_1 , V_L5_2 , V_L5_3 , V_L5_4 , V_L5_5 , V_L5_6

, V_L5_7 , V_L5_8 ,

V_L5_9 ,

V_L6 V_L6_1 , V_L6_2 , V_L6_3 , V_L6_4 , V_L6_5 , V_L6_6

, V_L6_7 , V_L6_8 ,

V_L6_9 , V_L610 , V_L611 ,

ALL V_L1_1 , V_L1_2 , V_L1_3 , V_L1_4 , V_L1_5 , V_L1_6

, V_L1_7 , V_L1_8 ,

V_L1_9 , V_L110 , V_L111 , V_L112 , V_L113 , V_L2_1

, V_L2_2 , V_L2_3 ,

V_L2_4 , V_L2_5 , V_L2_6 , V_L2_7 , V_L2_8 , V_L2_9

, V_L3_1 , V_L3_2 ,

V_L3_3 , V_L3_4 , V_L3_5 , V_L3_6 , V_L3_7 , V_L3_8

, V_L3_9 , V_L310 ,

V_L311 , V_L4_1 , V_L4_2 , V_L4_3 , V_L4_4 , V_L4_5

, V_L4_6 , V_L4_7 ,

V_L5_1 , V_L5_2 , V_L5_3 , V_L5_4 , V_L5_5 , V_L5_6

, V_L5_7 , V_L5_8 ,

V_L5_9 , V_L6_1 , V_L6_2 , V_L6_3 , V_L6_4 , V_L6_5

, V_L6_6 , V_L6_7 ,

V_L6_8 , V_L6_9 , V_L610 , V_L611 ,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 5


*** SOURCE PARTICULATE/GAS DATA ***

*** SOURCE ID = V_L1_1 ; SOURCE TYPE = VOLUME ***

MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,

PARTICLE DIAMETER (MICRONS) =

1.00000, 4.00000, 7.00000, 9.00000,

PARTICLE DENSITY (G/CM**3) =

1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 6




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 7




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 8



*** SOURCE ID = V_L110 ; SOURCE TYPE = VOLUME ***

MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 9




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 10




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 11




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 12




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 13




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 14




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 15




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 16




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 17




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 18




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 19




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 20




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 21




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 22




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 23




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 24




MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


MASS FRACTION =

0.31000, 0.26000, 0.23000, 0.20000,


1.00000, 4.00000, 7.00000, 9.00000,


1.00000, 1.00000, 1.00000, 1.00000,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 25


*** DISCRETE CARTESIAN RECEPTORS ***

(X-COORD, Y-COORD, ZELEV, ZHILL, ZFLAG)

(METERS)

( 664350.0, 7753240.0, 5.7, 5.7, 0.0); ( 664763.0, 7753402.0,

9.7, 9.7, 0.0);

( 665281.0, 7753352.0, 10.2, 10.2, 0.0); ( 665508.0, 7753450.0,

13.6, 13.6, 0.0);

( 665870.0, 7753420.0, 15.9, 15.9, 0.0); ( 667030.0, 7753435.0,

12.3, 12.3, 0.0);

( 667292.0, 7753390.0, 9.7, 9.7, 0.0); ( 667780.0, 7753480.0,

15.8, 15.8, 0.0);

( 668050.0, 7753280.0, 9.9, 9.9, 0.0); ( 668140.0, 7753530.0,

17.3, 17.3, 0.0);

( 668450.0, 7753640.0, 16.1, 16.1, 0.0); ( 669441.0, 7754077.0,

14.7, 14.7, 0.0);

( 670631.0, 7754008.0, 15.9, 15.9, 0.0); ( 666600.0, 7743439.0,

17.7, 17.7, 0.0);

( 665526.0, 7747107.0, 8.8, 8.8, 0.0);


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 26


*** METEOROLOGICAL DAYS SELECTED FOR PROCESSING

***

(1=YES; 0=NO)

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

NOTE: METEOROLOGICAL DATA ACTUALLY PROCESSED WILL ALSO DEPEND ON WHAT IS

INCLUDED IN THE DATA FILE.

*** UPPER BOUND OF FIRST THROUGH FIFTH WIND SPEED CATEGORIES

***

(METERS/SEC)

1.54, 3.09, 5.14, 8.23, 10.80,


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 27


*** UP TO THE FIRST 24 HOURS OF METEOROLOGICAL DATA ***

Surface file: 6866_RUN6A_6FEB2015.SFC

Met Version: 14134

Profile file: 6866_RUN6A_6FEB2015.PFL

Surface format: FREE

Profile format: FREE

Surface station no.: 0 Upper air station no.: 54321

Name: UNKNOWN Name: UNKNOWN

Year: 2013 Year: 2013

First 24 hours of scalar data

YR MO DY HR H0 U* W* DT/DZ ZICNV ZIMCH M-O LEN Z0 BOWEN ALB REF WS WD HT

REF TA HT IPCOD PRATE RH SFCP CCVR

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

13 01 01 01 -11.6 0.140 -9.000 -9.000 -999. 126. 21.1 0.03 0.75 1.00 2.22 177.

10. 303.0 10.*** 0.00 62. 1004. 0

13 01 01 02 -6.3 0.102 -9.000 -9.000 -999. 78. 15.1 0.03 0.75 1.00 1.65 193.

10. 303.2 10.*** 0.00 61. 1004. 0

13 01 01 03 -9.0 0.123 -9.000 -9.000 -999. 103. 18.4 0.03 0.75 1.00 1.97 166.

10. 303.0 10.*** 0.00 63. 1004. 0

13 01 01 04 -6.5 0.104 -9.000 -9.000 -999. 80. 15.3 0.03 0.75 1.00 1.68 169.

10. 302.9 10.*** 0.00 64. 1004. 0

13 01 01 05 -5.7 0.097 -9.000 -9.000 -999. 72. 14.3 0.03 0.75 1.00 1.57 171.

10. 302.9 10.*** 0.00 65. 1004. 0

13 01 01 06 -5.3 0.094 -9.000 -9.000 -999. 69. 13.9 0.03 0.75 1.00 1.52 156.

10. 302.8 10.*** 0.00 66. 1004. 0

13 01 01 07 12.1 0.135 0.244 0.007 42. 119. -18.2 0.10 0.97 0.39 1.28 104.

10. 302.9 10.*** 0.00 65. 1005. 10

13 01 01 08 39.3 0.135 0.500 0.007 114. 120. -5.6 0.10 0.97 0.27 1.10 118.

10. 304.0 10.*** 0.00 59. 1005. 9

13 01 01 09 120.7 0.200 1.099 0.005 394. 215. -6.0 0.21 0.50 0.16 1.30 65.

10. 306.3 10.*** 0.00 50. 1004. 0

13 01 01 10 19.0 0.219 0.613 0.005 433. 246. -49.6 0.03 0.04 0.08 2.93 15.

10. 306.5 10.*** 0.00 54. 1002. 0

13 01 01 11 31.8 0.183 0.760 0.005 492. 188. -17.1 0.02 0.05 0.09 2.45 356.

10. 305.8 10.*** 0.00 60. 1002. 0

13 01 01 12 35.5 0.202 0.825 0.005 566. 218. -20.8 0.02 0.05 0.09 2.75 351.

10. 306.7 10.*** 0.00 55. 1002. 0

13 01 01 13 32.6 0.250 0.833 0.005 632. 301. -42.9 0.02 0.05 0.09 3.57 345.

10. 306.7 10.*** 0.00 57. 1002. 3

13 01 01 14 21.1 0.289 0.736 0.005 675. 373. -102.6 0.03 0.04 0.08 4.00 11.

10. 306.7 10.*** 0.00 59. 1002. 5

13 01 01 15 17.5 0.259 0.703 0.005 707. 316. -88.4 0.02 0.05 0.09 3.82 354.

10. 306.0 10.*** 0.00 65. 1001. 8

13 01 01 16 9.7 0.299 0.582 0.005 724. 393. -246.7 0.02 0.05 0.10 4.55 347.

10. 305.3 10.*** 0.00 69. 1001. 9

13 01 01 17 10.8 0.316 0.608 0.005 742. 425. -260.3 0.02 0.05 0.12 4.80 346.

10. 304.7 10.*** 0.00 76. 1001. 8

13 01 01 18 3.5 0.256 0.418 0.005 748. 312. -429.5 0.02 0.05 0.21 3.92 337.

10. 304.5 10.*** 0.00 75. 1002. 9

13 01 01 19 -18.0 0.214 -9.000 -9.000 -999. 238. 48.7 0.02 0.05 0.52 3.52 321.

10. 304.4 10.*** 0.00 73. 1002. 0

13 01 01 20 -19.3 0.186 -9.000 -9.000 -999. 193. 29.7 0.01 0.45 1.00 3.43 306.

10. 303.9 10.*** 0.00 76. 1003. 0

13 01 01 21 -21.8 0.210 -9.000 -9.000 -999. 231. 37.9 0.01 0.45 1.00 3.85 287.

10. 303.9 10.*** 0.00 78. 1004. 0

13 01 01 22 -35.5 0.341 -9.000 -9.000 -999. 478. 100.2 0.10 1.04 1.00 4.08 273.

10. 303.9 10.*** 0.00 78. 1004. 0

13 01 01 23 -35.4 0.340 -9.000 -9.000 -999. 476. 99.6 0.10 1.04 1.00 4.07 250.

10. 303.8 10.*** 0.00 79. 1005. 0

13 01 01 24 -28.5 0.274 -9.000 -9.000 -999. 345. 64.3 0.10 0.62 1.00 3.30 243.

10. 303.4 10.*** 0.00 80. 1005. 0

First hour of profile data

YR MO DY HR HEIGHT F WDIR WSPD AMB_TMP sigmaA sigmaW sigmaV

13 01 01 01 10.0 1 177. 2.22 303.0 12.8 -99.00 0.49

F indicates top of profile (=1) or below (=0)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 28


*** THE ANNUAL AVERAGE CONCENTRATION VALUES AVERAGED OVER 1 YEARS FOR

SOURCE GROUP: V_L1 ***

INCLUDING SOURCE(S): V_L1_1 , V_L1_2 , V_L1_3

, V_L1_4 , V_L1_5 ,

V_L1_6 , V_L1_7 , V_L1_8 , V_L1_9 , V_L110 , V_L111

, V_L112 , V_L113 ,

*** DISCRETE CARTESIAN RECEPTOR POINTS ***

** CONC OF PM_10 IN MICROGRAMS/M**3

**

X-COORD (M) Y-COORD (M) CONC X-COORD (M) Y-COORD (M)

CONC

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.13280 664763.00 7753402.00

0.13437

665281.00 7753352.00 0.10564 665508.00 7753450.00

0.10171

665870.00 7753420.00 0.08745 667030.00 7753435.00

0.05707

667292.00 7753390.00 0.05171 667780.00 7753480.00

0.04210

668050.00 7753280.00 0.03988 668140.00 7753530.00

0.03498

668450.00 7753640.00 0.02793 669441.00 7754077.00

0.01719

670631.00 7754008.00 0.01303 666600.00 7743439.00

0.00659

665526.00 7747107.00 0.01158


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 29





, V_L2_4 , V_L2_5 ,

V_L2_6 , V_L2_7 , V_L2_8 , V_L2_9 ,



**


CONC

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.04702 664763.00 7753402.00

0.02214

665281.00 7753352.00 0.01450 665508.00 7753450.00

0.01158

665870.00 7753420.00 0.00940 667030.00 7753435.00

0.00532

667292.00 7753390.00 0.00487 667780.00 7753480.00

0.00397

668050.00 7753280.00 0.00382 668140.00 7753530.00

0.00347

668450.00 7753640.00 0.00309 669441.00 7754077.00

0.00237

670631.00 7754008.00 0.00177 666600.00 7743439.00

0.00104

665526.00 7747107.00 0.00193


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 30





, V_L3_4 , V_L3_5 ,

V_L3_6 , V_L3_7 , V_L3_8 , V_L3_9 , V_L310 , V_L311

,



**


CONC

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.08573 664763.00 7753402.00

0.08469

665281.00 7753352.00 0.06094 665508.00 7753450.00

0.05668

665870.00 7753420.00 0.04652 667030.00 7753435.00

0.02735

667292.00 7753390.00 0.02455 667780.00 7753480.00

0.01943

668050.00 7753280.00 0.01855 668140.00 7753530.00

0.01611

668450.00 7753640.00 0.01314 669441.00 7754077.00

0.00821

670631.00 7754008.00 0.00617 666600.00 7743439.00

0.00317

665526.00 7747107.00 0.00560


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 31





, V_L4_4 , V_L4_5 ,

V_L4_6 , V_L4_7 ,



**


CONC

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.01876 664763.00 7753402.00

0.01749

665281.00 7753352.00 0.01309 665508.00 7753450.00

0.01391

665870.00 7753420.00 0.01146 667030.00 7753435.00

0.00655

667292.00 7753390.00 0.00581 667780.00 7753480.00

0.00437

668050.00 7753280.00 0.00426 668140.00 7753530.00

0.00350

668450.00 7753640.00 0.00277 669441.00 7754077.00

0.00170

670631.00 7754008.00 0.00126 666600.00 7743439.00

0.00066

665526.00 7747107.00 0.00116


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 32





, V_L5_4 , V_L5_5 ,

V_L5_6 , V_L5_7 , V_L5_8 , V_L5_9 ,



**


CONC

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.13798 664763.00 7753402.00

0.07976

665281.00 7753352.00 0.04630 665508.00 7753450.00

0.03370

665870.00 7753420.00 0.02529 667030.00 7753435.00

0.01235

667292.00 7753390.00 0.01113 667780.00 7753480.00

0.00887

668050.00 7753280.00 0.00849 668140.00 7753530.00

0.00770

668450.00 7753640.00 0.00683 669441.00 7754077.00

0.00510

670631.00 7754008.00 0.00377 666600.00 7743439.00

0.00254

665526.00 7747107.00 0.00462


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 33





, V_L6_4 , V_L6_5 ,

V_L6_6 , V_L6_7 , V_L6_8 , V_L6_9 , V_L610 , V_L611

,



**


CONC

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.00257 664763.00 7753402.00

0.00136

665281.00 7753352.00 0.00082 665508.00 7753450.00

0.00069

665870.00 7753420.00 0.00053 667030.00 7753435.00

0.00031

667292.00 7753390.00 0.00028 667780.00 7753480.00

0.00023

668050.00 7753280.00 0.00022 668140.00 7753530.00

0.00020

668450.00 7753640.00 0.00019 669441.00 7754077.00

0.00015

670631.00 7754008.00 0.00012 666600.00 7743439.00

0.00018

665526.00 7747107.00 0.00030


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 34



SOURCE GROUP: ALL ***


, V_L1_4 , V_L1_5 ,

V_L1_6 , V_L1_7 , V_L1_8 , V_L1_9 , V_L110 , V_L111

, V_L112 , V_L113 ,

V_L2_1 , V_L2_2 , V_L2_3 , V_L2_4 , V_L2_5 , V_L2_6

, V_L2_7 , V_L2_8 ,

V_L2_9 , V_L3_1 , V_L3_2 , V_L3_3 , V_L3_4 , V_L3_5

, V_L3_6 , . . . ,



**


CONC

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.42486 664763.00 7753402.00

0.33981

665281.00 7753352.00 0.24129 665508.00 7753450.00

0.21827

665870.00 7753420.00 0.18066 667030.00 7753435.00

0.10896

667292.00 7753390.00 0.09835 667780.00 7753480.00

0.07897

668050.00 7753280.00 0.07523 668140.00 7753530.00

0.06597

668450.00 7753640.00 0.05394 669441.00 7754077.00

0.03472

670631.00 7754008.00 0.02612 666600.00 7743439.00

0.01416

665526.00 7747107.00 0.02518


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 35


*** THE 1ST HIGHEST 1-HR AVERAGE CONCENTRATION VALUES FOR



, V_L1_4 , V_L1_5 ,

V_L1_6 , V_L1_7 , V_L1_8 , V_L1_9 , V_L110 , V_L111

, V_L112 , V_L113 ,



**

X-COORD (M) Y-COORD (M) CONC (YYMMDDHH) X-COORD (M) Y-COORD

(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 6.66912 (13042307) 664763.00

7753402.00 7.81459 (13050806)

665281.00 7753352.00 10.54657 (13042307) 665508.00

7753450.00 7.05204 (13050806)

665870.00 7753420.00 7.78231 (13042306) 667030.00

7753435.00 8.77483 (13050806)

667292.00 7753390.00 7.83081 (13050806) 667780.00

7753480.00 4.68624 (13120106)

668050.00 7753280.00 4.77347 (13050806) 668140.00

7753530.00 4.15031 (13020306)

668450.00 7753640.00 3.00944 (13030206) 669441.00

7754077.00 1.35318 (13120706)

670631.00 7754008.00 1.07544 (13120706) 666600.00

7743439.00 1.19937 (13042606)

665526.00 7747107.00 1.81433 (13042606)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 36





, V_L2_4 , V_L2_5 ,

V_L2_6 , V_L2_7 , V_L2_8 , V_L2_9 ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 4.06868 (13030206) 664763.00

7753402.00 1.36196 (13010806)

665281.00 7753352.00 0.99649 (13010806) 665508.00

7753450.00 0.86795 (13120706)

665870.00 7753420.00 0.75676 (13010806) 667030.00

7753435.00 0.49758 (13120706)

667292.00 7753390.00 0.41900 (13120706) 667780.00

7753480.00 0.44348 (13120706)

668050.00 7753280.00 0.26708 (13010806) 668140.00

7753530.00 0.43215 (13120706)

668450.00 7753640.00 0.35636 (13120706) 669441.00

7754077.00 0.21044 (13030706)

670631.00 7754008.00 0.14087 (13010906) 666600.00

7743439.00 0.19243 (13042606)

665526.00 7747107.00 0.47239 (13031708)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 37





, V_L3_4 , V_L3_5 ,

V_L3_6 , V_L3_7 , V_L3_8 , V_L3_9 , V_L310 , V_L311

,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 4.25436 (13042307) 664763.00

7753402.00 5.09179 (13050806)

665281.00 7753352.00 4.27517 (13050806) 665508.00

7753450.00 3.94515 (13050806)

665870.00 7753420.00 3.52769 (13050806) 667030.00

7753435.00 2.88660 (13050806)

667292.00 7753390.00 2.63979 (13050806) 667780.00

7753480.00 1.73528 (13020306)

668050.00 7753280.00 1.80952 (13050806) 668140.00

7753530.00 1.52623 (13020306)

668450.00 7753640.00 1.11616 (13030206) 669441.00

7754077.00 0.68553 (13120706)

670631.00 7754008.00 0.55271 (13120706) 666600.00

7743439.00 0.42692 (13042606)

665526.00 7747107.00 0.85411 (13042606)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 38





, V_L4_4 , V_L4_5 ,

V_L4_6 , V_L4_7 ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.85274 (13070518) 664763.00

7753402.00 1.43940 (13042307)

665281.00 7753352.00 1.30835 (13042307) 665508.00

7753450.00 1.42392 (13050806)

665870.00 7753420.00 1.29097 (13050806) 667030.00

7753435.00 0.89678 (13050806)

667292.00 7753390.00 0.78694 (13050806) 667780.00

7753480.00 0.54805 (13020306)

668050.00 7753280.00 0.51738 (13120106) 668140.00

7753530.00 0.44613 (13020306)

668450.00 7753640.00 0.28393 (13030206) 669441.00

7754077.00 0.18567 (13120706)

670631.00 7754008.00 0.13815 (13120706) 666600.00

7743439.00 0.22987 (13101607)

665526.00 7747107.00 0.51453 (13101607)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 39





, V_L5_4 , V_L5_5 ,

V_L5_6 , V_L5_7 , V_L5_8 , V_L5_9 ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 11.41799 (13030206) 664763.00

7753402.00 5.68442 (13050806)

665281.00 7753352.00 3.88977 (13030206) 665508.00

7753450.00 2.63354 (13120706)

665870.00 7753420.00 2.22241 (13120706) 667030.00

7753435.00 1.45608 (13120706)

667292.00 7753390.00 1.26580 (13120706) 667780.00

7753480.00 1.22714 (13120706)

668050.00 7753280.00 0.81724 (13010806) 668140.00

7753530.00 1.15795 (13120706)

668450.00 7753640.00 0.93582 (13120706) 669441.00

7754077.00 0.72156 (13030706)

670631.00 7754008.00 0.38075 (13010906) 666600.00

7743439.00 0.53051 (13042606)

665526.00 7747107.00 0.95323 (13042606)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 40





, V_L6_4 , V_L6_5 ,

V_L6_6 , V_L6_7 , V_L6_8 , V_L6_9 , V_L610 , V_L611

,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.48917 (13120706) 664763.00

7753402.00 0.32020 (13030706)

665281.00 7753352.00 0.24253 (13120706) 665508.00

7753450.00 0.21209 (13030706)

665870.00 7753420.00 0.16043 (13030706) 667030.00

7753435.00 0.09661 (13120706)

667292.00 7753390.00 0.10579 (13120706) 667780.00

7753480.00 0.07398 (13010906)

668050.00 7753280.00 0.10631 (13120706) 668140.00

7753530.00 0.06837 (13030706)

668450.00 7753640.00 0.07669 (13030706) 669441.00

7754077.00 0.07435 (13030706)

670631.00 7754008.00 0.06094 (13030706) 666600.00

7743439.00 0.06188 (13042606)

665526.00 7747107.00 0.09494 (13021406)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 41





, V_L1_4 , V_L1_5 ,

V_L1_6 , V_L1_7 , V_L1_8 , V_L1_9 , V_L110 , V_L111

, V_L112 , V_L113 ,

V_L2_1 , V_L2_2 , V_L2_3 , V_L2_4 , V_L2_5 , V_L2_6

, V_L2_7 , V_L2_8 ,

V_L2_9 , V_L3_1 , V_L3_2 , V_L3_3 , V_L3_4 , V_L3_5

, V_L3_6 , . . . ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 18.31149 (13030206) 664763.00

7753402.00 18.80986 (13050806)

665281.00 7753352.00 15.28691 (13042307) 665508.00

7753450.00 13.01726 (13050806)

665870.00 7753420.00 11.56938 (13050806) 667030.00

7753435.00 12.62435 (13050806)

667292.00 7753390.00 11.31740 (13050806) 667780.00

7753480.00 6.91476 (13120106)

668050.00 7753280.00 7.10418 (13050806) 668140.00

7753530.00 6.22708 (13020306)

668450.00 7753640.00 4.53469 (13030206) 669441.00

7754077.00 2.45704 (13120706)

670631.00 7754008.00 2.08507 (13120706) 666600.00

7743439.00 2.44103 (13042606)

665526.00 7747107.00 3.90747 (13042606)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 42





, V_L1_4 , V_L1_5 ,

V_L1_6 , V_L1_7 , V_L1_8 , V_L1_9 , V_L110 , V_L111

, V_L112 , V_L113 ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 1.23900 (13030224) 664763.00

7753402.00 1.14539 (13030224)

665281.00 7753352.00 0.99768 (13030224) 665508.00

7753450.00 1.26147 (13030224)

665870.00 7753420.00 1.24517 (13030224) 667030.00

7753435.00 0.79696 (13050824)

667292.00 7753390.00 0.70801 (13050824) 667780.00

7753480.00 0.33464 (13120124)

668050.00 7753280.00 0.44808 (13050824) 668140.00

7753530.00 0.32533 (13042224)

668450.00 7753640.00 0.22485 (13042224) 669441.00

7754077.00 0.08789 (13042324)

670631.00 7754008.00 0.06937 (13042324) 666600.00

7743439.00 0.08420 (13011324)

665526.00 7747107.00 0.12045 (13011324)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 43





, V_L2_4 , V_L2_5 ,

V_L2_6 , V_L2_7 , V_L2_8 , V_L2_9 ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.40601 (13050824) 664763.00

7753402.00 0.12935 (13071224)

665281.00 7753352.00 0.09481 (13071224) 665508.00

7753450.00 0.06316 (13042324)

665870.00 7753420.00 0.05286 (13042324) 667030.00

7753435.00 0.03161 (13042324)

667292.00 7753390.00 0.02905 (13042324) 667780.00

7753480.00 0.02477 (13120724)

668050.00 7753280.00 0.02188 (13042324) 668140.00

7753530.00 0.02444 (13120724)

668450.00 7753640.00 0.02233 (13120724) 669441.00

7754077.00 0.02885 (13042924)

670631.00 7754008.00 0.02240 (13042924) 666600.00

7743439.00 0.01086 (13072624)

665526.00 7747107.00 0.03648 (13072624)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 44





, V_L3_4 , V_L3_5 ,

V_L3_6 , V_L3_7 , V_L3_8 , V_L3_9 , V_L310 , V_L311

,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.74338 (13030224) 664763.00

7753402.00 0.82499 (13030224)

665281.00 7753352.00 0.58371 (13030224) 665508.00

7753450.00 0.57542 (13030224)

665870.00 7753420.00 0.50645 (13030224) 667030.00

7753435.00 0.29787 (13050824)

667292.00 7753390.00 0.26990 (13050824) 667780.00

7753480.00 0.14552 (13050824)

668050.00 7753280.00 0.18876 (13050824) 668140.00

7753530.00 0.11260 (13042224)

668450.00 7753640.00 0.08048 (13042224) 669441.00

7754077.00 0.04246 (13120724)

670631.00 7754008.00 0.03265 (13120724) 666600.00

7743439.00 0.03935 (13011324)

665526.00 7747107.00 0.06317 (13011324)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 45





, V_L4_4 , V_L4_5 ,

V_L4_6 , V_L4_7 ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.10938 (13030224) 664763.00

7753402.00 0.17516 (13030224)

665281.00 7753352.00 0.13409 (13030224) 665508.00

7753450.00 0.15732 (13030224)

665870.00 7753420.00 0.13778 (13030224) 667030.00

7753435.00 0.08151 (13050824)

667292.00 7753390.00 0.07121 (13050824) 667780.00

7753480.00 0.03543 (13120124)

668050.00 7753280.00 0.04442 (13050824) 668140.00

7753530.00 0.02843 (13042224)

668450.00 7753640.00 0.01741 (13071224) 669441.00

7754077.00 0.01027 (13120724)

670631.00 7754008.00 0.00739 (13120724) 666600.00

7743439.00 0.01102 (13101624)

665526.00 7747107.00 0.02390 (13101624)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 46





, V_L5_4 , V_L5_5 ,

V_L5_6 , V_L5_7 , V_L5_8 , V_L5_9 ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 1.20777 (13030224) 664763.00

7753402.00 0.62152 (13050824)

665281.00 7753352.00 0.35960 (13050824) 665508.00

7753450.00 0.16552 (13030224)

665870.00 7753420.00 0.12553 (13120724) 667030.00

7753435.00 0.07908 (13120724)

667292.00 7753390.00 0.06726 (13120724) 667780.00

7753480.00 0.06674 (13120724)

668050.00 7753280.00 0.04380 (13071224) 668140.00

7753530.00 0.06410 (13120724)

668450.00 7753640.00 0.05701 (13120724) 669441.00

7754077.00 0.04835 (13042924)

670631.00 7754008.00 0.03938 (13042924) 666600.00

7743439.00 0.03554 (13011324)

665526.00 7747107.00 0.05323 (13011324)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 47





, V_L6_4 , V_L6_5 ,

V_L6_6 , V_L6_7 , V_L6_8 , V_L6_9 , V_L610 , V_L611

,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 0.02476 (13120724) 664763.00

7753402.00 0.01437 (13030724)

665281.00 7753352.00 0.01246 (13120724) 665508.00

7753450.00 0.00939 (13030724)

665870.00 7753420.00 0.00779 (13120724) 667030.00

7753435.00 0.00537 (13120724)

667292.00 7753390.00 0.00563 (13120724) 667780.00

7753480.00 0.00410 (13120724)

668050.00 7753280.00 0.00526 (13120724) 668140.00

7753530.00 0.00338 (13120724)

668450.00 7753640.00 0.00335 (13030724) 669441.00

7754077.00 0.00322 (13030724)

670631.00 7754008.00 0.00264 (13030724) 666600.00

7743439.00 0.00264 (13042624)

665526.00 7747107.00 0.00507 (13031724)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 48





, V_L1_4 , V_L1_5 ,

V_L1_6 , V_L1_7 , V_L1_8 , V_L1_9 , V_L110 , V_L111

, V_L112 , V_L113 ,

V_L2_1 , V_L2_2 , V_L2_3 , V_L2_4 , V_L2_5 , V_L2_6

, V_L2_7 , V_L2_8 ,

V_L2_9 , V_L3_1 , V_L3_2 , V_L3_3 , V_L3_4 , V_L3_5

, V_L3_6 , . . . ,



**


(M) CONC (YYMMDDHH)

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

664350.00 7753240.00 3.67658 (13030224) 664763.00

7753402.00 2.76446 (13030224)

665281.00 7753352.00 2.05269 (13030224) 665508.00

7753450.00 2.18585 (13030224)

665870.00 7753420.00 2.02699 (13030224) 667030.00

7753435.00 1.22768 (13050824)

667292.00 7753390.00 1.09812 (13050824) 667780.00

7753480.00 0.50967 (13030224)

668050.00 7753280.00 0.72399 (13050824) 668140.00

7753530.00 0.46856 (13042224)

668450.00 7753640.00 0.32356 (13042224) 669441.00

7754077.00 0.16140 (13120724)

670631.00 7754008.00 0.13353 (13120724) 666600.00

7743439.00 0.17818 (13011324)

665526.00 7747107.00 0.26015 (13011324)


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 49


*** THE SUMMARY OF MAXIMUM ANNUAL RESULTS AVERAGED OVER 1

YEARS ***


**

NETWORK

GROUP ID AVERAGE CONC RECEPTOR (XR, YR, ZELEV, ZHILL,

ZFLAG) OF TYPE GRID-ID

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - -

V_L1 1ST HIGHEST VALUE IS 0.13437 AT ( 664763.00, 7753402.00, 9.74, 9.74,

0.00) DC

2ND HIGHEST VALUE IS 0.13280 AT ( 664350.00, 7753240.00, 5.67, 5.67,

0.00) DC

3RD HIGHEST VALUE IS 0.10564 AT ( 665281.00, 7753352.00, 10.23, 10.23,

0.00) DC

4TH HIGHEST VALUE IS 0.10171 AT ( 665508.00, 7753450.00, 13.56, 13.56,

0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 50


*** THE SUMMARY OF MAXIMUM ANNUAL RESULTS AVERAGED OVER 1

YEARS ***


**

NETWORK

GROUP ID AVERAGE CONC RECEPTOR (XR, YR, ZELEV, ZHILL,

ZFLAG) OF TYPE GRID-ID

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - -


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC

ALL 1ST HIGHEST VALUE IS 0.42486 AT ( 664350.00, 7753240.00, 5.67, 5.67,

0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC


0.00) DC

*** RECEPTOR TYPES: GC = GRIDCART

GP = GRIDPOLR

DC = DISCCART

DP = DISCPOLR


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 51


*** THE SUMMARY OF HIGHEST 1-HR RESULTS ***


**

DATE

NETWORK

GROUP ID AVERAGE CONC (YYMMDDHH) RECEPTOR (XR, YR,

ZELEV, ZHILL, ZFLAG) OF TYPE GRID-ID

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -

V_L1 HIGH 1ST HIGH VALUE IS 10.54657 ON 13042307: AT ( 665281.00, 7753352.00,

10.23, 10.23, 0.00) DC


5.67, 5.67, 0.00) DC


9.74, 9.74, 0.00) DC


9.74, 9.74, 0.00) DC


5.67, 5.67, 0.00) DC


5.67, 5.67, 0.00) DC

ALL HIGH 1ST HIGH VALUE IS 18.80986 ON 13050806: AT ( 664763.00, 7753402.00,

9.74, 9.74, 0.00) DC


GP = GRIDPOLR

DC = DISCCART

DP = DISCPOLR


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 52


*** THE SUMMARY OF HIGHEST 24-HR RESULTS ***


**

DATE

NETWORK

GROUP ID AVERAGE CONC (YYMMDDHH) RECEPTOR (XR, YR,

ZELEV, ZHILL, ZFLAG) OF TYPE GRID-ID

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

- - - - - - - - - - - - - - - - - - -


13.56, 13.56, 0.00) DC


5.67, 5.67, 0.00) DC


9.74, 9.74, 0.00) DC


9.74, 9.74, 0.00) DC


5.67, 5.67, 0.00) DC


5.67, 5.67, 0.00) DC

ALL HIGH 1ST HIGH VALUE IS 3.67658 ON 13030224: AT ( 664350.00, 7753240.00,

5.67, 5.67, 0.00) DC


GP = GRIDPOLR

DC = DISCCART

DP = DISCPOLR


*** 11/06/15

*** AERMET - VERSION 14134 *** ***

*** 10:17:24

PAGE 53


*** Message Summary : AERMOD Model Execution ***

--------- Summary of Total Messages --------

A Total of 0 Fatal Error Message(s)

A Total of 4 Warning Message(s)

A Total of 30 Informational Message(s)

A Total of 8760 Hours Were Processed

A Total of 14 Calm Hours Identified

A Total of 16 Missing Hours Identified ( 0.18 Percent)

Met Data File Includes 1115.40 Millimeters ( 43.913 Inches) of Precipitation

******** FATAL ERROR MESSAGES ********

*** NONE ***

******** WARNING MESSAGES ********

CO W122 20 MODOPT: LowWind2 Beta Option specified on MODELOPT Keyword Non-DFAULT

CO W132 20 MODOPT: Minimum sigmav value (SVmin) for LowWind2 Beta Opt 0.3 m/s

CO W133 20 MODOPT: Maximum FRAN value (FRANmax) for LowWind2 Beta Opt 0.95

ME W187 391 MEOPEN: ADJ_U* Beta Option for Low Winds used in AERMET Non-DFAULT

************************************

*** AERMOD Finishes Successfully ***

************************************

Appendix F - Source Parameters.docx F-1


Appendix F SOURCE PARAMETERS



F. 1 BHP Billiton Iron Ore 290Mtpa Project

Source East North

Base

Elevation

Height

(m)

Sigma

Y(m)

Sigma

Z(m)

CD4_S 663347 7754232 13.5 3.0 2.5 3.3

CD4_T 663240 7754049 13.5 1.5 1.5 1.4

CD4_C 663087 7753752 10.4 5.0 7.5 4.7

TS865 662940 7753454 9.8 10.0 3.0 3.7

STK11 663291 7753534 17.3 10.0 50.0 9.3

REC8 663347 7753783 13.2 8.0 30.0 7.4

STK12 663434 7754179 14.7 10.0 50.0 9.3

EYBROL 663495 7754150 14.0 1.0 1.0 0.9

SL7 663828 7752359 5.9 15.0 15.0 5.6

SL8 663837 7752037 4.7 15.0 15.0 5.6

TS890 663125 7753358 10.0 8.0 3.0 3.7

TS809 663291 7753271 10.0 6.0 3.0 3.7

TS901 663815 7752667 0.2 10.0 3.0 3.7

CD5_S 663293 7754025 13.9 3.0 2.5 3.3

CD5_T 663175 7753821 14.2 1.5 1.5 1.4

CD5_C 663082 7753643 9.8 5.0 7.5 4.7

TS910 662957 7753425 9.5 8.0 3.0 3.7

TS911 663039 7753366 10.0 8.0 3.0 3.7

TS913 663185 7753340 10.8 3.0 3.0 3.7

TS982 662730 7753590 11.5 3.0 3.0 3.7

TS983 662865 7753405 12.8 4.0 4.0 3.7

TS897 663270 7753275 10.8 6.0 3.0 3.7

TS885 663193 7753325 11.2 4.0 3.0 3.7

TS892 663051 7753394 10.0 4.0 3.0 3.7

TS808 662896 7753481 10.7 10.0 4.0 5.6

TS800 662824 7753521 11.6 10.0 4.0 5.6

TS801 662736 7753684 11.3 7.0 3.0 3.7

TS704 663243 7753289 11.7 7.0 3.0 3.7

TS807 662785 7753611 9.1 10.0 3.0 3.7

TS810 663516 7753710 10.1 7.0 3.0 3.7

TS811 664006 7753824 0.0 10.0 3.0 3.7

STK9 663153 7754498 13.5 10.0 50.0 9.3

STK10 662895 7753653 5.6 10.0 50.0 9.3

REC7 663019 7754068 7.9 8.0 30.0 7.4

BROLL 663240 7754500 13.0 1.0 1.0 0.9

LRP2 662998 7753669 7.8 5.0 20.0 7.4

SL3 663841 7753343 0.0 15.0 15.0 5.6

SL4 663947 7753643 0.0 15.0 15.0 5.6

TS702 663450 7752885 10.6 7.0 3.0 3.7

REC10 663120 7754610 12.7 8.0 30.0 7.4

TS981 662635 7754000 8.8 6.0 3.0 3.7



Source East North

Base

Elevation

Height

(m)

Sigma

Y(m)

Sigma

Z(m)

EY_SW1 663449 7754041 15.0 2.5 28.0 1.2

EY_SW2 663428 7753820 13.3 2.5 28.0 1.2

EY_A1 663166 7753374 10.6 0.3 50.0 0.1

STOCK1 662970 7754075 6.3 2.5 28.0 1.2

STOCK2 662953 7753849 10.5 2.5 28.0 1.2

AREA1 662812 7753586 9.4 0.3 61.0 0.1

WWYSW1 662990 7754275 10.6 5.0 30.0 2.3

WWYA1 662711 7753741 10.4 0.3 50.0 0.1

CD1_S 665888 7752479 12.8 3.0 2.5 3.3

CD1_T 665961 7752561 16.2 1.5 1.5 1.4

CD1_C 665980 7752580 16.4 5.0 12.0 4.7

CD2_S 665840 7752399 12.0 3.0 20.0 3.3

CD2_T 665971 7752445 13.3 1.5 20.0 1.4

CD2_C 666014 7752459 14.4 5.0 20.0 4.7

CD3_S 665779 7752410 12.0 3.0 20.0 3.3

CD3_T 665941 7752467 13.1 1.5 20.0 1.4

CD3_C 666002 7752485 14.9 5.0 20.0 4.7

TS350 666039 7752498 14.5 10.0 3.0 3.7

TS3_4 665912 7752677 15.8 4.0 3.0 3.7

TS775 665975 7752670 16.0 4.0 3.0 1.9

TS354 665950 7752605 16.9 8.0 4.0 3.7

TS501 666163 7752155 15.6 5.0 3.0 3.7

TS503 666220 7752007 11.9 5.0 3.0 3.7

P503 667180 7752380 9.6 1.0 1.0 0.5

STK5 665500 7752587 11.6 10.0 50.0 9.3

STK6 666649 7752333 11.1 10.0 50.0 9.3

STK7 666394 7752072 12.2 10.0 50.0 9.3

STK8 665392 7752368 13.8 10.0 50.0 9.3

REC5 665767 7752611 11.5 8.0 30.0 7.4

REC6 667070 7752400 11.6 8.0 30.0 7.4

TS26 665139 7752340 13.9 6.0 3.0 3.7

TS502 666197 7752078 14.3 6.0 3.0 3.7

LRP1 665409 7752322 16.7 5.0 20.0 7.4

LRP3 665870 7752295 21.4 10.0 20.0 4.7

TS603 665325 7752300 14.6 6.0 3.0 3.7

TS250 666080 7752370 16.1 4.0 4.0 1.9

TS505 666039 7751825 11.1 4.0 3.0 3.7

TS504 666263 7751909 11.7 8.0 3.0 3.7

TS563 665325 7752145 7.9 8.0 4.0 3.7

SL1 664887 7752278 10.1 15.0 15.0 5.6

SL2 664580 7752426 10.2 15.0 15.0 5.6

PA_SP 665170 7752260 12.6 10.0 10.0 7.4



Source East North

Base

Elevation

Height

(m)

Sigma

Y(m)

Sigma

Z(m)

SL5 665335 7751960 0.0 15.0 15.0 5.6

SL6 665582 7751640 0.2 15.0 15.0 5.6

TS513 665242 7752228 13.7 10.0 1.5 2.8

TS560 665202 7752132 4.6 3.0 1.5 2.8

TS700 665112 7752241 10.7 4.0 1.0 1.9

TS701 664724 7752517 7.2 5.0 3.0 3.7

A1 665615 7752501 11.6 10.0 35.0 5.0

B2 665355 7752480 13.2 10.0 39.0 5.0

TCB1W 665910 7752675 15.7 1.0 35.0 0.5

TCB2W 666074 7752400 16.4 2.0 18.0 1.0

TS350W 666031 7752509 14.6 1.0 24.0 0.5

LRP3W 665964 7752349 16.0 1.0 19.0 0.5

SYWIND 666268 7752150 13.6 1.0 59.0 0.5

SYWE2 666862 7752371 10.6 5.0 30.0 2.5

SYWE3 666598 7752189 10.1 5.0 30.0 2.5

V_L1_1 662728 7753849 8.3 0.5 25.0 0.3

V_L1_2 662779 7753950 8.0 0.5 25.0 0.3

V_L1_3 662824 7754041 7.7 0.5 25.0 0.3

V_L1_4 662877 7754140 6.1 0.5 25.0 0.3

V_L1_5 662921 7754227 6.6 0.5 25.0 0.3

V_L1_6 662972 7754326 11.1 0.5 25.0 0.3

V_L1_7 663022 7754419 13.0 0.5 25.0 0.3

V_L1_8 663061 7754495 13.4 0.5 25.0 0.3

V_L1_9 663106 7754585 13.1 0.5 25.0 0.3

V_L110 663183 7754592 12.7 0.5 25.0 0.3

V_L111 663263 7754549 13.0 0.5 25.0 0.3

V_L112 663362 7754496 13.1 0.5 25.0 0.3

V_L113 663428 7754460 13.5 0.5 25.0 0.3

V_L2_1 662703 7753746 10.1 0.5 25.0 0.3

V_L2_2 662737 7753634 11.2 0.5 25.0 0.3

V_L2_3 662783 7753534 12.0 0.5 25.0 0.3

V_L2_4 662837 7753482 12.1 0.5 25.0 0.3

V_L2_5 662828 7753374 12.5 0.5 25.0 0.3

V_L2_6 662865 7753447 12.2 0.5 25.0 0.3

V_L2_7 662902 7753533 9.8 0.5 25.0 0.3

V_L2_8 662953 7753527 9.2 0.5 25.0 0.3

V_L2_9 663007 7753619 8.6 0.5 25.0 0.3

V_L3_1 663057 7753713 9.1 0.5 25.0 0.3

V_L3_2 663104 7753808 11.4 0.5 25.0 0.3

V_L3_3 663148 7753907 15.1 0.5 25.0 0.3

V_L3_4 663188 7753992 15.5 0.5 25.0 0.3

V_L3_5 663233 7754089 13.0 0.5 25.0 0.3



Source East North

Base

Elevation

Height

(m)

Sigma

Y(m)

Sigma

Z(m)

V_L3_6 663286 7754182 13.2 0.5 25.0 0.3

V_L3_7 663335 7754280 12.4 0.5 25.0 0.3

V_L3_8 663393 7754365 12.6 0.5 25.0 0.3

V_L3_9 663449 7754452 13.9 0.5 25.0 0.3

V_L310 663471 7754545 13.6 0.5 25.0 0.3

V_L311 663555 7754582 14.8 0.5 25.0 0.3

V_L4_1 663634 7754521 17.4 0.5 25.0 0.3

V_L4_2 663644 7754415 17.1 0.5 25.0 0.3

V_L4_3 663654 7754321 14.5 0.5 25.0 0.3

V_L4_4 663661 7754210 12.5 0.5 25.0 0.3

V_L4_5 663631 7754114 11.9 0.5 25.0 0.3

V_L4_6 663581 7754011 14.6 0.5 25.0 0.3

V_L4_7 663542 7753933 14.3 0.5 25.0 0.3

V_L5_1 663527 7753843 12.8 0.5 25.0 0.3

V_L5_2 663496 7753721 10.9 0.5 25.0 0.3

V_L5_3 663449 7753638 12.0 0.5 25.0 0.3

V_L5_4 663397 7753548 12.6 0.5 25.0 0.3

V_L5_5 663336 7753463 11.6 0.5 25.0 0.3

V_L5_6 663260 7753383 11.6 0.5 25.0 0.3

V_L5_7 663191 7753380 11.2 0.5 25.0 0.3

V_L5_8 663102 7753397 10.0 0.5 25.0 0.3

V_L5_9 663024 7753438 9.7 0.5 25.0 0.3

V_L6_1 663425 7752921 9.7 0.5 25.0 0.3

V_L6_2 663381 7752997 9.6 0.5 25.0 0.3

V_L6_3 663307 7753077 11.9 0.5 25.0 0.3

V_L6_4 663283 7753184 11.1 0.5 25.0 0.3

V_L6_5 663235 7753265 12.3 0.5 25.0 0.3

V_L6_6 663156 7753319 11.1 0.5 25.0 0.3

V_L6_7 663079 7753361 10.0 0.5 25.0 0.3

V_L6_8 662997 7753321 10.4 0.5 25.0 0.3

V_L6_9 662917 7753352 12.1 0.5 25.0 0.3

V_L610 662861 7753264 12.7 0.5 25.0 0.3

V_L611 662835 7753217 12.0 0.5 25.0 0.3

V_L1_1 666412 7753003 10.8 0.5 25.0 0.9

V_L1_2 666247 7752899 11.6 0.5 25.0 0.9

V_L1_3 666266 7752784 11.2 0.5 25.0 0.9

V_L1_4 666332 7752750 10.2 0.5 25.0 0.9

V_L1_5 666433 7752786 10.9 0.5 25.0 0.9

V_L1_6 666538 7752820 10.7 0.5 25.0 0.9

V_L2_1 666065 7752623 12.1 0.5 25.0 0.9

V_L2_2 666136 7752679 10.5 0.5 25.0 0.9

V_L2_3 666236 7752709 10.3 0.5 25.0 0.9



Source East North

Base

Elevation

Height

(m)

Sigma

Y(m)

Sigma

Z(m)

V_L3_1 665943 7752549 15.9 0.5 25.0 0.9

V_L3_2 665838 7752512 12.9 0.5 25.0 0.9

V_L3_3 665745 7752471 11.3 0.5 25.0 0.9

V_L3_4 665659 7752435 10.8 0.5 25.0 0.9

V_L3_5 665559 7752394 9.5 0.5 25.0 0.9

V_L3_6 665458 7752356 13.5 0.5 25.0 0.9

V_L3_7 665363 7752318 16.4 0.5 25.0 0.9

V_L3_8 665834 7752730 12.3 0.5 25.0 0.9

V_L3_9 665733 7752687 10.1 0.5 25.0 0.9

V_L310 665645 7752646 11.7 0.5 25.0 0.9

V_L311 665551 7752609 12.9 0.5 25.0 0.9

V_L312 665452 7752567 11.8 0.5 25.0 0.9

V_L313 665359 7752528 14.1 0.5 25.0 0.9

V_L314 665262 7752486 12.5 0.5 25.0 0.9

V_L315 665164 7752446 13.6 0.5 25.0 0.9

V_L316 664957 7752598 9.8 0.5 25.0 0.9

V_L317 665060 7752665 9.8 0.5 25.0 0.9

V_L318 665151 7752706 8.5 0.5 25.0 0.9

V_L319 665262 7752751 11.6 0.5 25.0 0.9

V_L320 665363 7752794 11.9 0.5 25.0 0.9

V_L321 665463 7752833 13.0 0.5 25.0 0.9

V_L322 665564 7752874 11.1 0.5 25.0 0.9

V_L323 665671 7752919 8.2 0.5 25.0 0.9

V_L324 665773 7752953 8.6 0.5 25.0 0.9

V_L325 665882 7752990 9.0 0.5 25.0 0.9

V_L326 665978 7753040 9.7 0.5 25.0 0.9

V_L327 666075 7753075 10.4 0.5 25.0 0.9

V_L328 666182 7753079 10.1 0.5 25.0 0.9

V_L329 665394 7752236 11.3 0.5 25.0 0.9

V_L330 665431 7752155 8.2 0.5 25.0 0.9

V_L331 665527 7752101 7.3 0.5 25.0 0.9

V_L332 665624 7752053 8.6 0.5 25.0 0.9

V_L333 665717 7752005 7.6 0.5 25.0 0.9

V_L334 665808 7751955 9.4 0.5 25.0 0.9

V_L335 665901 7751908 9.3 0.5 25.0 0.9

V_L336 665999 7751865 10.4 0.5 25.0 0.9

V_L4_1 665200 7752304 13.2 0.5 25.0 0.9

V_L4_2 665118 7752379 13.6 0.5 25.0 0.9

V_L4_3 665049 7752434 12.6 0.5 25.0 0.9

V_L4_4 664975 7752495 12.7 0.5 25.0 0.9

V_L4_5 665180 7752250 12.7 0.5 25.0 0.9

V_L4_6 665063 7752245 10.5 0.5 25.0 0.9



Source East North

Base

Elevation

Height

(m)

Sigma

Y(m)

Sigma

Z(m)

V_L4_7 664980 7752286 7.1 0.5 25.0 0.9

V_L4_8 664874 7752333 6.5 0.5 25.0 0.9

V_L4_9 664793 7752372 10.3 0.5 25.0 0.9

V_L5_1 665800 7752300 16.9 0.5 25.0 0.9

V_L5_2 665463 7752213 9.8 0.5 25.0 0.9

V_L5_3 665572 7752211 10.9 0.5 25.0 0.9

V_L5_4 665691 7752209 10.5 0.5 25.0 0.9

V_L5_5 665787 7752214 12.3 0.5 25.0 0.9

V_L5_6 665893 7752246 17.8 0.5 25.0 0.9

V_L5_7 665996 7752282 14.8 0.5 25.0 0.9

V_L5_8 666106 7752322 15.1 0.5 25.0 0.9

V_L5_9 666201 7752366 13.4 0.5 25.0 0.9

V_L510 666182 7752443 12.2 0.5 25.0 0.9

V_L511 666095 7752500 13.4 0.5 25.0 0.9

V_L512 665992 7752464 14.2 0.5 25.0 0.9

V_L513 665879 7752424 11.8 0.5 25.0 0.9

V_L6_1 666069 7752253 13.4 0.5 25.0 0.9

V_L6_2 666100 7752155 13.7 0.5 25.0 0.9

V_L6_3 666141 7752067 14.6 0.5 25.0 0.9

V_L6_4 666216 7752027 12.0 0.5 25.0 0.9

V_L6_5 666253 7752100 12.8 0.5 25.0 0.9

V_L6_6 666176 7752143 16.2 0.5 25.0 0.9

V_L6_7 666106 7751860 13.3 0.5 25.0 0.9

V_L6_8 666206 7751895 11.8 0.5 25.0 0.9

V_L6_9 666307 7751926 11.4 0.5 25.0 0.9

V_L610 666412 7751960 11.6 0.5 25.0 0.9

Appendix G - 2013 Meteorological File.docx G-1 BHP Billiton Iron Ore | Job Number 20851 | AQU-WA-001-20851G

Appendix G 2013 METEOROLOGICAL FILE

Appendix G - 2013 Meteorological File.docx BHP Billiton Iron Ore | Job Number 20851 | AQU-WA-001-20851G

G.1: 2013 METEOROLOGICAL FILE - AERMET

To drive AERMOD dispersion modelling, meteorological data were required to be prepared in certain formats. Two meteorological data files are required: surface and profile (.SFC and .PFL as file name extensions). Surface data contain the following variables: Sensible Heat Flux Surface Friction Velocity Convective Velocity Scale Vertical Temp Gradient Height of Convective PBL (m) Height of Mechanical PBL Monin-Obhukhov Length Surface Roughness Bowen Ratio Albedo Wind Speed Wind Direction Temperature Precipitation Code Precipitation Rate Relative Humidity Surface Pressure Cloud cover (tenths) Most of the variables are required with a few exceptions, such as precipitation code and rates. Among them, wind speed, wind direction, temperature, relative humidity, surface pressure, precipitation, and cloud cover data generally come directly from observational data. Data gaps in them should be filled prior to use.

In applying the AERMET meteorological processor to prepare the meteorological data for the AERMOD model appropriate values for three surface characteristics needed to be determined:

Surface roughness length. Albedo. Bowen ratio.

The surface roughness length is related to the height of obstacles to the wind flow and is, in principle, the height at which the mean horizontal wind speed is zero based on a logarithmic profile. The surface roughness length influences the surface shear stress and is an important factor in determining the magnitude of mechanical turbulence and the stability of the boundary layer.

The albedo is the fraction of total incident solar radiation reflected by the surface back to space without absorption. The daytime Bowen ratio, an indicator of surface moisture, is the ratio of sensible heat flux to latent heat flux and is used for determining planetary boundary layer parameters for convective conditions driven by the surface sensible heat flux.

Land use characteristics as defined in Table C-10 were used to determine effective surface roughness on a sector-by-sector basis within a 1 km radius around the BHP meteorological station. Values of Bowen ratio and albedo were determined over a greater domain (10 km by 10 km) again centred over the BHP meteorological station as recommended (USEPA, 2008a). Average land use characteristics as input into AERMET are defined in Table G-1.


Table G-1: Land use characteristics input into AERMET Sector Angle Surface Roughness

Length (m) Albedo Bowen Ratio

Sector 1 0 to 58 0.0626 0.08 0.0366

Sector 2 58 to 88 0.8000 0.15 0.5010

Sector 3 88 to 140 0.0058 0.23 0.9746

Sector 4 140 to 210 0.0103 0.16 0.7455

Sector 5 210 to 250 0.1205 0.12 0.6242

Sector 6 250 to 280 0.8000 0.14 1.0381

Sector 7 280 to 315 0.0965 0.12 0.4493

Sector 8 315 to 360 0.0415 0.09 0.0528

Data for AERMET was generated using Lakes Environment’s AERMET View v8.8.5 software (US EPA AERMET executable AERMET_14134.exe). The wind speed, wind direction, temperature, relative humidity, surface pressure, precipitation, and cloud cover data for all the AERMET runs came directly from the observational data. Data gaps in them were filled manually using linear interpolation prior to use (Section C.2.8).

The main AERMET options and assumptions used are listed below:

Threshold wind speed of 0.5m/s was used Stable Boundary Layer was processed using a Bulk Richardson Number Adjust surface friction velocity (ADJ_U*) option was used for low winds

G.1.1.1 QA of Input Meteorological Data Quality assurance was performed on the AERMET output. Attention was focused on internally-derived variables such as mixing height and Monin-Obukhov length. Figure G-1 shows the diurnal statistics of mixing height where the classic diurnal profile is seen, with a gradual increase during the day followed by a rapid decrease after the transition from a convective to a mechanical mixing regime. Average minimum mixing heights of approximately 250 m occurs at night with average maximum mixing heights of 1,300m occurring during the late afternoon.


Figure G-1: Mixing height as generated by AERMET.

Figure G-2 shows the scatterplot of Monin-Obukhov length (1/L) by wind speed. The figure confirms the expected results, with neutral stability occurring under strong wind conditions and stable/unstable conditions occurring under light wind conditions.

The diurnal profile of atmospheric stability (derived from Monin-Obukhov length) is shown in the Golder plot in Figure G-3 and Figure G-4. The profile follows an expected pattern, with unstable conditions confined to the daytime and stable conditions confined to the nighttime. Very unstable conditions occur for approximately 18% of the time at 09:00.

0

500

1000

1500

2000

2500

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Mix

ing

Heig

ht (m

)

Hour of Day

Mixing Height v Time of Day


Figure G-2: Scatter plot of 1/L and wind speed.

Figure G-3: Stability by time of day (Golder plot)


Figure G-4: Statistics of 1/L by time of day.

Appendix H - Source Controls_v1.docx H-1


Appendix H SOURCE CONTROLS



H. 1 BHP Billiton Iron Ore Source Controls: Nelson Point

Source Model Group

Conveyors with

belt washes

Other dust control

infrastructure Controls Comment

CD 1 CD1 Enclosed with wet

scrubber

Emission rate as measured


scrubber



scrubber


LRP1 NP LRP1 Wet Scrubber Emission rate as measured; 90%

availability

LRP2 FI LRP2 Enclosed with wet

scrubber

Emission rate as measured; 90%

availability

LRP3 NP LRP3 Wet Scrubber Emission rate as measured; 90%

availability

P10 TS354/TS2 Yes 5 Conveyors at this combined TS -

each one has an 8% reduction

with 90% availability

P11 TS3/4 Yes 3 Conveyors at this combined TS -



P117 PA-SP Yes This source has 8 conveyors - each

with a reduction of 5% (for a total

of 40%) with a 90% utilisation




P119

Shiploader 2

SL2 Boom Sprays No additional reductions beyond

standard (sprays on boom); 90%

availability of boom sprays




P13 Stacker 8 Stacker 8 Boom Sprays No additional reductions beyond






P15 Stacker 5 Stacker 5 Boom Sprays No additional reductions beyond





Source Model Group

Conveyors with

belt washes

Other dust control





P2 CD1 Yes 40% reduction with 90% availability


P202 TS350 Yes 5 Conveyors at this combined TS -



P203 TS250/204 Yes 2 of 3 conveyors have a BWS -

13.3% reduction with a 90%

availability

P205 LRP3 Yes 10% reduction with 90% availability








P26

Shiploader 1

SL1 Boom Sprays No additional reductions beyond



P32

Reclaimer 5

Rec5 Boom Sprays No additional reductions beyond













P355 TS3/4 No reduction - though captured

within TS3/4 so not a seperate

source





Source Model Group

Conveyors with

belt washes

Other dust control



P502 TS502 Yes 3 Conveyors at this TS - 3 BWS so

13% reduction with a 90%

availability

P503 P503 No Reduction

P504 Stacker

6

Stacker 6 Boom Sprays No additional reductions beyond



P505 TS503 No Reduction

P506 Stacker

7

Stacker 7 Boom Sprays No additional reductions beyond



P509

Reclaimer 6

Rec 6 Boom Sprays No additional reductions beyond

standard (sprays on boom)

P510 Rec 6 Yes 20% reduction with 90% availability



availability

P512 TS504 Yes 40% reduction with 90% availability


P514 PA-SP No Reduction



availability



availability

P551 TS250/204 No Reduction

P551A No Reduction



availability



P561 TS560 Yes Enclosed with a wet scrubber -

80% reduction



Source Model Group

Conveyors with

belt washes

Other dust control


P562

Shiploader 5

Shiploader 5 Yes 10% reduction with 90% availability

P563 TS250/204 Yes 2 of 3 conveyors have a BWS -

13.3% reduction with a 90%

availability


(only 1 of 4 conveyors at this TS

have a BWS


P566

Shiploader 6

Shiploader 6 Yes 10% reduction with 90% availability
























P776 TS775 No reduction



TS1 TS 350 No reduction



Source Model Group

Conveyors with

belt washes

Other dust control


TS2/354 TS2/TS354 No reduction

TS201 TS350 Dust collector/Wet

Sctubber

See TS350

TS202 TS250 No reduction

TS22 PA-SP This source has 8 conveyors - each




TS26 TS26 Scrubber - 40% reduction with a

90% availability

TS3 TS3/4 No reduction


Sctubber

Combined source (TS1, TS350,

TS201). 6 Conveyors at this

combined TS - each one has an

8% reduction with 90% availability

+ Wet scrubber with an additional






TS502 TS502 40% reduction (with 90%

availability) for fogging



TS504/515 TS504 No reduction


TS506

TS513 TS513 Fogging System Belt wash on P560 - 40% reduction

with 90% availability, Fogging

System - 40% reduction with 90%

availability

TS551 No reduction


Sctubber

Enclosed with a wet scrubber -

80% reduction



Source Model Group

Conveyors with

belt washes

Other dust control









TS604 TS2/TS354 No reduction






TS730 PS-SP This source has 8 conveyors - each





CD4 CD4 Enclosed with wet

scrubber

As measured - Enclosed with wet

scrubber



H. 2 BHP Billiton Iron Ore Source Controls: Finucane Island

Source Model Group

Conveyors with

belt washes

Other dust control


CD5 CD5 Yes Enclosed with wet

scrubber

As measured - Enclosed with wet

scrubber

CV702 TS701 Yes 40% reduction with 90% availability

CV704 TS702 Yes 40% reduction with 90% availability

CV705 TS704 Yes 2 conveyors at this TS - all with BWS

so 20% reduction for each one

with a 90% availability

P800 TS865 Yes 4 conveyors at this TS - all with BWS





P803 Stacker

9

Stacker 9 Boom Sprays As measured ; 90% availability for

boom sprays

P804 Stacker 10 Yes Boom Sprays 20% reduction for BWS (most dust

from other soures) ; 90% availability

for boom sprays

P805 Stacker

10


boom sprays

P806

Reclaimer 7

Reclaimer 7 Boom Sprays As measured; 90% availability for

boom sprays

P807 Rec 7 Yes WSY Belt Rollover - as measured














P813

Shiploader 4

FISL1 Boom Sprays As measured with sprays on boom;

; 90% availability for boom sprays



Source Model Group

Conveyors with

belt washes

Other dust control






(most dust from other sources)


(most dust from other sources)










P863

Shiploader 3

FISL2 Boom Sprays As measured with sprays on boom;

; 90% availability for boom sprays

P865 P865 Yes 40% reduction with 90% availability

P866 TS865 No - conveyor to short



so 13.3% reduction for each one





P888 Stacker

11


boom sprays

P889

Reclaimer 8

Rec8 Boom Sprays As measured; 90% availability for

boom sprays

P890 Rec8 Yes ESY - Belt rollover










Source Model Group

Conveyors with

belt washes

Other dust control


P894 Stacker

12


boom sprays














P903

Shiploader 7

HPSL1 Boom Sprays No - as measured with sprays on

boom; 90% availability for boom

sprays





P906

Shiploader 8

HPSL2 Boom Sprays No - as measured with sprays on

boom; 90% availability for boom

sprays

P910 P910 Yes 40% reduction with 90% availability








P980 Rec10 Rec10 Boom Sprays As measured; 90% availability for

boom sprays






Source Model Group

Conveyors with

belt washes

Other dust control


P984 TS983 40% reduction with 90% availability


TS704 TS704 Fogging System Fogging System - 40% reduction


TS800 TS800 Dust Collector/Wet

Scrubber

Belt wash on P801 - 40% reduction

with 90% availability. Scrubber





Scrubber

4 conveyors at this TS - all with BWS


with a 90% availability Scrubber


TS809 No reduction




Scrubber

5 conveyors at this TS (one is short)

- all with BWS so 10% reduction for

each one with a 90% availability






TS910 TS910 Yes Dust Collector/Wet

Scrubber

3 conveyors at this TS - all with BWS











Source Model Group

Conveyors with

belt washes

Other dust control



Veh1 Veh1

Veh2 Veh2

Veh3 Veh3 30% reduction for

road sealing and

coarse material


road sealing and

coarse material


road sealing and

coarse material

Veh6 Veh6

Report

ONSITE DUST EMISSION TESTING AND MODEL UPDATE

FAST

Job ID. 7442D

4 April 2014

7442 BHPBIO_Vehicle Testing Ver1.docx ii Job ID 7442D | AQU-WA-001-07442

PROJECT NAME: ONSITE DUST EMISSION TESTING AND MODEL UPDATE

JOB ID: 7442D

DOCUMENT CONTROL NUMBER AQU-WA-001-07442

PREPARED FOR: FAST

APPROVED FOR RELEASE BY:

DISCLAIMER & COPYRIGHT: This report is subject to the copyright statement located at www.pacific-environment.com © Pacific Environment Operations Pty Ltd ABN 86 127 101 642

DOCUMENT CONTROL

VERSION DATE PREPARED BY REVIEWED BY

0 4.04.2014

Pacific Environment Operations Pty Ltd: ABN 86 127 101 642

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7442 BHPBIO_Vehicle Testing Ver1.docx iii Job ID 7442D | AQU-WA-001-07442

DISCLAIMER

Pacific Environment acts in all professional matters as a faithful advisor to the Client and exercises all reasonable skill and care in the provision of its professional services.

Reports are commissioned by and prepared for the exclusive use of the Client. They are subject to and issued in accordance with the agreement between the Client and Pacific Environment. Pacific Environment is not responsible for any liability and accepts no responsibility whatsoever arising from the misapplication or misinterpretation by third parties of the contents of its reports.

Except where expressly stated, Pacific Environment does not attempt to verify the accuracy, validity or comprehensiveness of any information supplied to Pacific Environment for its reports.

Reports cannot be copied or reproduced in whole or part for any purpose without the prior written agreement of Pacific Environment.

Where site inspections, testing or fieldwork have taken place, the report is based on the information made available by the client or their nominees during the visit, visual observations and any subsequent discussions with regulatory authorities. The validity and comprehensiveness of supplied information has not been independently verified and, for the purposes of this report, it is assumed that the information provided to Pacific Environment is both complete and accurate. It is further assumed that normal activities were being undertaken at the site on the day of the site visit(s), unless explicitly stated otherwise.

7442 BHPBIO_Vehicle Testing Ver1.docx iv Job ID 7442D | AQU-WA-001-07442

CONTENTS

1 INTRODUCTION 1 1.1 Scope of Works 1

2 METHODOLOGY 2 3 RESULTS 4 4 RECOMMENDATIONS A-1 APPENDIX A CONCENTRATION PROFILE USING DUST TRAK A-1

A.1 Concentration Plots A-1

List of Figures

Figure 2.1: Sampling locations in the vicinity of LRP3 (Veh_L5) 3 Figure 2.2: Sampling locations in the vicinity of south yard transfer stations (Veh_L6) 3 Figure 4.1: Ripped section of sealed road near LRP3 A-1 Figure 4.2: Unsealed – sealed road intersection A-2 Figure 4.3: Wash down Bay – Dust Tracking A-2 Figure A.1-4: Dust Concentrations from the DustTrak Monitor for the various measurements taken on

weekdays A-1 Figure A.1-5: Dust Concentrations from the DustTrak Monitor for the various measurements taken on

weekends A-1

7442 BHPBIO_Vehicle Testing Ver1.docx 1 Job Number 7442D | AQU-WA-001-07442

1 INTRODUCTION

BHP Billiton Iron Ore Pty Ltd has extensive iron ore handling, processing and ship loading facilities at Nelson Point and Finucane Island, in the Pilbara region of Western Australia. Since 2001, BHP Billiton Iron Ore has conducted a series of capacity expansions at these facilities to increase the export of iron ore to supply the growing global demand.

The facilities are in close proximity to the town of Port Hedland and BHP Billiton Iron Ore has conducted extensive on-site emission sampling and modelling projects to determine the potential impact of these expansion projects and the dust abatement strategies that are required.

With the announcement in 2012 that the Outer Harbour Development is deferred, BHP Billiton Iron Ore sought to optimise the throughput of its inner harbour and engaged Pacific Environment to undertake dispersion modelling. Emission estimation for the aforementioned modelling study were primarily based on emission rates derived from a 2006 field sampling. Further site sampling was undertaken in 2011 and some source emission rates were updated. This current project aims to update the emission rate of wheel generated dust (source id: Veh_L5 and Veh_L6) and Lump Re-screening Plant 3 (LRP3) at Nelson Point and re-assess impacts.

1.1 Scope of Works

The specific activities that were undertaken for this study are detailed below

Additional site measurements of vehicle emissions in south yard at Nelson Point Additional site measurements of LRP3 at Nelson Point Update emission inventory to reflect new emission rates Update the IHD model to incorporate the updated emission inventory


2 METHODOLOGY

The monitoring campaign was undertaken over three days between 27 March 2014 and 29 March 2014. The monitoring period covered both weekdays and weekends to account for varying emission rates on these days.

Sampling was conducted utilising a TSI model 8250 DustTrak aerosol monitoring unit. The DustTrak uses a laser to count the number of particles less than 10 microns in diameter. The instrument is calibrated using Arizona road dust to convert these particle counts into a concentration estimate. Therefore, the instrument does not measure the actual concentration and for accurate results must be calibrated against another standard for the particles of interest. For this assessment the site specific calibration used was consistent with previous monitoring studies conducted for BHP Billiton Iron Ore Port Hedland operations (SKM 2004, 2006, PAEHolmes, 2011).

Sampling was undertaken at the following locations:

Veh_L5: Five sampling locations in the vicinity of the Lump Rescreening Plant (LRP3) with these locations plotted spatially in Figure 2.1

Veh_L6: Four sampling locations in the vicinity of the south yard transfer stations with these sampling locations plotted in Figure 2.2

Downwind of LRP3.

Samples were taken downwind of the road, as near as perpendicular to the wind direction as possible. Sampling at each location was conducted for at least an hour whilst the number of vehicles passing in front of the monitor was counted. Additional information collected while sampling included the wind speed, distance to the road and initial plume height. This sampling procedure is identical to that used in previous assessments of emissions at the BHP Billiton Iron Ore operations in Port Hedland (SKM 2004, 2006, 2009, PAEHolmes 2011). This information was used to determine emission rates (in grams/second). Sample concentration profiles obtained during the DustTrak vehicle measurements are presented in Appendix A.

It is to be noted that only two measurements could be obtained downwind of LRP3 on 27 March 2014. No further measurements could be obtained as the LRP3 was not operational on subsequent days. Therefore emission rates could not be estimated for LRP3 due to data insufficiency. It is recommended that onsite measurement be undertaken as part of future projects.


Figure 2.1: Sampling locations in the vicinity of LRP3 (Veh_L5)

Figure 2.2: Sampling locations in the vicinity of south yard transfer stations (Veh_L6)


3 RESULTS

The calculated emission rates from this sampling program are presented in Table 3.1 along with a comparison to the emission rates used in the previous modelling (22 January 2014) and the relative reduction that has been achieved. As can be seen from this table there has been a substantial reduction in the particulate emissions rate from trafficable areas with this attributed to the reduction in construction related vehicle movement. The most noticeable improvement is in the emission source Veh_L6 (South Yard vehicles) where reductions varied from 76% up to 92%. This is due to a number of reasons including:

reduced vehicle activity in the South Yard due to the cessation of construction activity (note the PAEHolmes (now Pacific Environment) 2011 study could not conduct any sampling in this region due to the high density of construction activity)

improved procedures including: o Use of gravel on open areas to reduce the amount of dirt tracked onto sealed

roads o designated car parking areas o bunding of open areas to prevent personnel from taking ‘short cuts’ o improved road cleaning

Table 3.1: Comparison of trafficable area emissions

Sample Location

Model ID Time Day New Emission Rate

Old Emission Rate

Percentage Reduction

Access roads in the vicinity of LRP3



Day Weekend 0.163 0.168 3%

Night Weekend 0.163 0.120 -36% (a)

Access roads in the vicinity of south yard transfer stations



Day Weekend 0.093 1.200 92%

Night Weekend 0.093 0.381 76%

Note: (a) Could be attributed to construction related vehicle movement noted during site measurements

Daily cumulative PM10 levels predicted at the sensitive receptors is presented in Table 3.3 with levels predicted during the previous modelling presented in Table 3.2 for comparison. Overall, the revised emission file results in a reduction of 0.8µg/m3 in the annual average predicted PM10 concentration at the Hospital monitor (from 31.5 µg/m3 to 30.7 µg/m3).


Table 3.2: Cumulative Impact at Sensitive Receptors (previous modelling, µg/m3)

Harbour

Richardson Street

BMX

Kingsmill

Street

Hospital

Taplin St

St Cecilia's

Holiday Inn

Shop

All Seasons

Council

Neptune Place

Primary

School

South Hedland

Wedgefield

Maximum 90 80 79 76 77 74 73 72 72 72 72 71 71 71 71

99th Percentile 83 73 68 66 65 62 63 62 61 61 60 59 58 58 59

95th Percentile 66 56 55 55 52 49 49 47 47 47 46 44 43 40 40

90th Percentile 56 51 49 48 47 41 41 40 41 39 39 36 34 33 34

70th Percentile 42 38 38 36 36 31 30 28 28 27 26 24 23 23 24

Average 37.8 34.6 34.0 32.3 31.5 26.9 26.4 25.0 24.9 24.3 23.7 22.5 21.9 21 21

Greater than 50 63 40 33 25 21 17 16 13 13 12 10 9 7 6 7

Greater than 60 27 16 13 12 9 5 6 6 5 5 4 4 3 4 4

Greater than 70 13 7 2 1 2 1 1 1 1 1 1 1 1 1 1

Table 3.3: Cumulative Impact at Sensitive Receptors (updated emission inventory, µg/m3)

Harbour

Richardson Street

BMX

Kingsmill

Street

Hospital

Taplin St

St Cecilia's

Holiday Inn

Shop

All Seasons

Council

Neptune Place

Primary

School

South Hedland

Wedgefield

Maximum 90 80 78 76 77 74 73 72 72 72 72 71 71 71 71

99th Percentile 83 72 68 65 65 62 63 61 61 61 60 58 58 58 58

95th Percentile 66 56 54 52 50 48 48 47 46 47 45 43 42 40 40

90th Percentile 56 51 48 46 46 41 41 39 40 38 38 35 34 33 34

70th Percentile 42 38 37 36 35 29 29 27 27 27 26 24 23 23 24

Average 37.5 34.2 33.5 31.8 30.7 26.3 25.8 24.5 24.4 23.9 23.4 22.3 21.8 21 21

Greater than 50 62 39 31 23 19 16 14 13 13 12 10 8 7 6 7

Greater than 60 27 14 13 11 9 5 6 5 5 5 4 4 3 4 4

Greater than 70 13 7 2 1 1 1 1 1 1 1 1 1 1 1 1

7442 BHPBIO_Vehicle Testing Ver1.docx A-1 Job Number 7442D | AQU-WA-001-07442

4 RECOMMENDATIONS

This section presents the emission reduction opportunities identified during onsite measurement campaign.

The presence of construction related vehicle activity was noted with this increasing the emissions recorded during onsite monitoring. While the contribution of these construction vehicles could not be determined with absolute certainty, it is recommended the measurement campaign re-commissioned following end of all construction related activities.

It was apparent the some sections of the main access road (past LRP and decommissioned TCB2) were ripped and left unpaved. While the ripped unsealed section was watered occasionally to control dust, material was being tracked from the ripped to sealed sections of the access roads. Once the material tracked on sealed section dries, it increases the emissions of wheel generated dust on sealed sections (Figure 4.1).

A newly laid asphalt road into south yard ends abruptly at an unsealed section (Figure 4.2). As previous, material from unsealed section is tracked onto sealed sections. This is clearly noted in Figure 4.2, as part of the asphalt road appears red while other half is black.

High dust loading was observed on the concrete pad in the vehicle wash down bay (Figure 4.3). Significant vehicle movement was observed in this area increasing the potential for material being tracked onto other sealed sections. Once dried, the settled material also contributes to dust lift off due to high winds. If this area is to be continued to be used as a wash down bay by BHP Billiton Iron Ore then it is recommended that it is re-designed for this purpose and include:

o Drainage to direct all waste water into the sump (as opposed to pooling on the ground)

o Sealed access into and out of the wash down area to prevent material being tracked onto the road

Figure 4.1: Ripped section of sealed road near LRP3


Figure 4.2: Unsealed – sealed road intersection

Figure 4.3: Wash down Bay – Dust Tracking


Appendix A CONCENTRATION PROFILE USING DUST TRAK


A.1 Concentration Plots An example of concentration profile from vehicle measurements on both weekday and weekend using DustTrak is presented in Figure A.1-4and Figure A.1-4 respectively. The spikes in the graph are an indicator of emissions generated by vehicles as they travel past the monitor. The magnitudes of spikes indicate the variable nature of the plume derived from this source.

Figure A.1-4: Dust Concentrations from the DustTrak Monitor for the various measurements taken on weekdays

Figure A.1-5: Dust Concentrations from the DustTrak Monitor for the various measurements taken on weekends

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