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6.1 Assessment for Ambient Air Impact In accordance with Technical Guideline for Environmental Impact Assessment

Atmospheric Environment (HJ2.2-2008), the atmosphere assessment for Gulang

County-Twin Towers Industrial Park Road Project is identified at level II, and

Xingminxin Village of Xijing County of Gulang County-S308 Route Road

Project as level III. The assessment for Gulang County-Twin Towers Industrial

Park Road Project will be firstly provided.

6.1.1 Statistics and Analysis of Meteorological Observation

As requested in the Atmosphere Guideline, the routine surface observation for at

least a full year in the last three years of the nearest surface meteorological

observation station from this Project (less than 50km) should be reviewed.

Gulang County Weather Bureau, located at 37°28′48″north latitude,

102°54′0″east longitude, 2.3km from the site of this Project (less than 50km), so the

routine meteorologic data here reflects the climate features of this Project site. And its

meteorologic data of routine surface observation through 2015 will be analyzed in this

assessment.

The high altitude meteorologic data is from the Key Laboratory of

Environmental Quality Modeling of Appraisal Center for Environment &

Engineering, Ministry of Environmental Protection, which is generated from the

MM5 mesoscale numerical model through which the whole nation is divided into 149

×149 grids with the resolution of 27km×27km. The raw data provided by this model

includes terrain height, land use, mark of land and water body and vegetation cover

etc. The raw weather data is from the station of University of Wyoming, and using

AermodSystem3.0, the nearest radiosonde weather station from this Project is located,

No. 52681#, the Minqin Meteorological Station with a distance of 128km, geographic

coordinate: 103.08° east longitude, 38.63°north latitude.

(3) Analysis of Meteorological Characteristics

Wind Direction ①

The hourly and daily meteorologic data from January to December in 2015 of

Gulang County Weather Bureau is analyzed, and the variations of wind direction for

each month, quarter and over a long period of time are shown in the following Table

6-1 and 6-2.

Table 6-1 Monthly variation of annual mean wind direction

Wind Direction Time

N NNE NE ENE E ESE SE SSE S SSW SW WSW W WNW NW NNW C

January 6.99 11.56 5.11 0.94 0.54 0.27 0.54 4.44 46.37 9.27 1.21 1.88 1.61 0.54 0.94 5.38 2.42February 9.38 16.96 5.8 1.19 0.89 0.15 0.74 4.32 34.38 11.16 1.93 1.64 0.74 0.3 1.49 5.95 2.98March 5.65 18.55 7.93 1.08 0.54 0.67 0.54 4.57 36.56 9.81 1.08 1.61 0.81 0.67 1.61 7.39 0.94April 10.42 14.86 6.53 1.81 0.56 1.39 0.28 5.42 28.75 10.56 2.22 2.64 1.67 1.25 0.97 9.03 1.67May 7.8 14.52 5.24 1.21 0.81 1.21 0.94 4.17 33.06 12.63 2.55 2.55 2.15 0.54 2.15 6.99 1.48June 9.31 11.25 7.22 1.81 1.81 1.25 1.67 6.25 30.69 9.58 3.47 1.81 2.22 0.56 1.53 7.64 1.94July 7.26 11.96 4.97 1.34 0.54 1.08 0.4 4.3 42.61 12.23 1.08 1.61 1.34 0.54 1.21 6.18 1.34August 7.66 14.92 6.59 1.21 0.54 0.27 0.67 5.38 34.14 14.25 3.36 1.48 1.08 0 1.61 6.32 0.54September 8.89 19.44 6.94 1.53 1.11 0.97 0.69 5.14 32.08 7.08 1.25 1.81 0.42 0.56 1.39 7.5 3.19October 10.43 14.86 6.34 1.81 0.56 1.39 0.28 5.42 28.75 10.56 2.22 2.64 1.67 1.25 0.97 9.03 1.67November 5.65 18.55 7.93 1.08 0.54 0.67 0.54 4.57 36.56 9.81 1.08 1.61 0.81 0.67 1.61 7.39 0.94December 9.38 16.96 5.8 1.19 0.89 0.15 0.74 4.32 34.38 11.16 1.93 1.64 0.74 0.3 1.49 5.95 2.98

Table 6-1 Quarterly variation of annual mean wind direction and annual

mean wind frequency

Wind Direction Season


Spring 6.25 11.45 4.75 1.02 0.61 0.63 0.55 3.72 27.7 8.24 1.55 1.45 1.04 0.42 1.16 5.31 24.18Summer 7.93 15.99 6.57 1.36 0.63 1.09 0.59 4.71 32.8 11.01 1.95 2.26 1.54 0.82 1.59 7.79 1.36Autumn 8.06 12.73 6.25 1.45 0.95 0.86 0.91 5.3 35.8 12.05 2.63 1.63 1.54 0.36 1.45 6.7 1.27Winter 3.57 7.6 2.52 0.55 0.37 0.41 0.27 1.92 14.8 3.07 0.55 0.73 0.27 0.23 0.78 2.93 59.32year-round 5.38 9.36 3.6 0.7 0.47 0.14 0.42 2.9 26.9 6.74 1.03 1.17 0.8 0.28 0.8 3.74 35.52

The statistical results of annual wind frequency show that the south wind is the

predominant wind direction throughout a year in this area.

Wind speed ②

The monthly variation of annual mean wind speed in the Project site is

respectively presented in Table 6-3 and Chart 6-1, and quarterly variation of annual

mean wind speed in Table 6-4 and Chart 6-2.

Table 6-3 Monthly variation of annual mean wind speed

Wind speed Wind speed


January 1.78 1.98 1.68 1.06 0.82 1.25 0.95 1.68 2.94 2.69 1.02 1.13 0.97 0.88 1.1 1.6 2.31February 1.72 2.02 1.65 1.24 1.07 0.6 1.0 1.86 2.6 2.63 1.28 0.99 0.88 1.0 1.12 1.65 2.07March 1.93 2.4 2.22 2.02 1.23 0.58 1.15 2.2 2.47 2.49 1.66 1.84 1.15 1.24 1.17 2.22 2.27April 2.18 2.38 2.27 1.41 1.6 1.05 1.15 1.97 2.56 2.43 1.92 1.6 1.26 1.3 1.43 2.8 2.27May 2.04 2.69 1.9 1.34 1.27 0.98 1.24 1.88 2.53 2.79 2.02 2 2.22 1.18 2.04 2.58 2.35June 2.02 2.33 1.95 1.58 1.45 1.0 1.5 1.75 2.42 2.29 1.61 1.28 1.59 1.62 1.67 2.24 2.08July 2.08 2.44 1.9 1.27 1.32 1.92 1.8 2.49 2.76 2.68 2.51 2.59 1.9 1.27 1.59 2.15 2.46August 2.06 2.74 1.98 1.59 1.95 1.6 1.38 2.28 2.63 2.82 1.85 2.25 1.31 0.85 1.64 2.35 2.45September 1.99 2.12 1.85 0.85 1.19 0.97 1.8 2.17 2.39 2.58 1.56 1.64 0.93 1.05 1.41 2.04 2.07October 2.04 2.57 1.26 1.5 1.02 0.65 0.9 1.9 2.77 2.96 1.87 2.17 1.3 0.7 2.24 1.84 2.41November 1.44 1.37 1.53 1.31 1.35 1.4 1.62 1.72 1.48 1.67 1.48 1.21 1.26 1.39 1.78 1.3 1.43December 1.37 1.11 1.33 1.24 1.12 1.33 1.31 1.39 1.41 1.42 1.29 1.32 1.5 1.57 1.48 1.12 1.28

Table 6-1 Quarterly variation of annual mean wind speed and annual mean

wind frequency Wind speed Season


Spring 1.91 1.98 1.86 1.51 1.63 1.71 1.56 1.81 1.59 1.57 1.64 1.71 1.69 1.82 2.22 2.12 1.78Summer 1.75 1.84 1.63 1.44 1.44 1.79 1.72 1.64 1.52 1.46 1.84 1.84 1.8 2.25 2.26 1.75 1.77Autumn 1.44 1.47 1.42 1.34 1.52 1.49 1.52 1.52 1.37 1.54 1.42 1.35 1.48 1.64 1.98 1.51 1.48Winter 1.57 1.62 1.53 1.31 1.23 1.38 1.38 1.37 1.38 1.39 1.35 1.28 1.45 1.54 2.32 1.85 1.43Year-round 1.69 1.74 1.63 1.4 1.44 1.6 1.53 1.55 1.45 1.49 1.55 1.54 1.62 1.86 2.2 1.84 1.61

Figure 6-1 Monthly variation of annual mean wind speed

Figure 6-2 Daily variation diagram of average hourly wind speed

The statistical information of monthly mean wind speed indicates: The average

local wind speed in June was the highest (1.7m/s), and the average wind speed in

December was the lowest (1.11m/s).

The average maximum wind speed in spring appears at 14 o'clock (2.21m/s)

when the minimum wind speed appears at 8 o'clock (1.45m/s); The average maximum

wind speed in summer appears at 14 o'clock (2.23m/s) when the minimum wind speed

appears at 8 o'clock (1.34m/s); The average maximum wind speed in autumn appears

at 14 o'clock (1.93m/s) when the minimum wind speed appears at 8 o'clock (1.16m/s);

The average maximum wind speed in winter appears at 15 o'clock (1.94m/s) when the

minimum wind speed appears at 8 o'clock (1.12m/s); In general, the wind speed is

high during the day and small at night.

For annual and seasonal wind speed, see Figure 6-3; for rose diagram of wind

frequency, see Figure 6-4.

In spring, the average wind speed is 2.30m/s

In summer, the average wind speed is 2.33m/s

In autumn, the average wind speed is1.48m/s

In winter, the average wind speed is 1.43m/s

The annually mean wind speed is 1.61 m/s

Figure6-3 Annual and Seasonal Average Wind Speed Chart

Spring, calm wind[<0.50]m/s=1.36% Summer, calm wind[<0.50]m/s=1.27%

Autumn, calm wind[<0.50]m/s=59.29% Winter, calm wind[<0.50]m/s=35.52%

Year-round, calm wind[<0.50]m/s=24.17%

Figure 6-4 The Annual and Seasonal Average Wind Frequency

③ Meteorological data of high altitude

AermodSystem3.0 model obtained the latest meteorological data of high altitude.

The data were provided by Minqin Meteorological Station, and 730 sets of data about

air pressure, dry-bulb temperature, dew point temperature, wind direction and wind

speed at 0 o'clock and 12 o'clock from January 1, 2015 to December 31, 2015 were

obtained. This report uses the data at 0 o'clock of January 1, 2015 as the

meteorological data of high altitude, and the detailed parameters are included in Table

6-6, Figure 6-5 and Figure 6-6.

Figure 6-5 Acquiring of meteorological data of high altitude

Table 6-5 Meteorological Data of High Altitude (Take the data at 0 o'clock

of January 1, 2015 as example)

Serial No.

Pressure (hpa)

Predicted Height (m)

Dry-bulb Temperature（℃）

Dew Point Temperature（℃）

Wind Direction (Degree)

Wind Speed (m/s)

1 872 0 -17.1 -25.1 0 02 865 62 -12.7 -17.5 64 0.53 859 116 -9.3 -17 120 14 854 162 -6.5 -16.5 117 1.55 850 199 -6.1 -18.1 115 2.16 811 570 -2.3 -31.1 100 3.17 797 708 -0.9 -35.9 110 3.18 735 1348 -3.9 -38.9 155 4.19 700 1734 -5.7 -40.7 160 5.110 686 1891 -6.5 -40.6 165 4.111 661 2179 -7.9 -40.4 180 4.112 637 2465 -9.3 -40.2 255 3.113 623 2638 -10.1 -40.1 270 4.614 614 2748 -10.8 -40.1 280 6.215 566 3366 -15.1 -40 295 7.216 546 3639 -16.9 -39.9 282 10.317 543 3680 -17.2 -40.2 280 10.818 500 4293 -21.3 -44.3 285 14.919 486 4503 -22.7 -43.7 285 1720 456 4968 -26.3 -29.8 285 21.6

Serial No.

Pressure (hpa)

Predicted Height (m)

Dry-bulb Temperature（℃）

Dew Point Temperature（℃）

Wind Direction (Degree)

Wind Speed (m/s)

21 454 4999 -26.6 -30.1 285 22.122 400 5903 -34.3 -38.8 280 23.223 367 6492 -39.7 -43.2 280 24.224 344 6934 -43.7 -46.6 278 30.425 321 7396 -45.1 -53.1 276 37.626 313 7563 -46.4 -54.8 275 40.127 300 7843 -48.7 -57.7 275 41.228 292 8021 -50.1 -59.1 276 42.729 250 9033 -54.7 -63.7 280 50.930 215 9989 -57.7 -66.7 273 55.631 200 10443 -58.5 -67.5 270 58.132 173 11347 -61.2 275 62.833 159 11873 -62.7 275 59.234 150 12233 -62.7 275 56.135 105 14424 -63.3 275 47.336 100 14723 -63.3 275 45.837 73 16664 -62.6 275 40.139 70 16923 -62.5 275 38.140 68.8 17030 -62.9 276 3741 52 18776 -57.5 284 23.242 50 19023 -58.7 285 21.1

Table 6-6 Meteorological Data of High Altitude (Take the data at 0

o'clock of January 1, 2015 as example)

6.1.2 Prediction and Assessment of Impact on Environment

(1) Prediction mode

This assessment adopts the AermodSystem3.0 model recommended by the

guideline to predict and analyze the impact on the atmospheric environment.

(2) Prediction factors and source intensity

The emission parameters of pollution sources in this project are shown in Table

6-6, of which the emission rate of NO2 is 75% of NOX.

Table 6-6 Pollutant Emission Parameters Source Intensity (mg / m · s)

Feature year Pollution factor CO NOX CHExhaust

2020 0.28 0.06 0.032026 0.42 0.08 0.05 2034 0.60 0.12 0.07

(3) Surface meteorological observation data

The assessment uses surface meteorological observation data provided by Wuwei

Meteorological Station from January 2015 to December 2015 (1 year and 4 times a

day), which includes: Year, day series, hour, wind direction, wind speed, total cloud

cover, low cloud cover and dry-bulb temperature. (4) Assessment standard

CO and NO2 implement the hourly concentration of Level II Standard in the

Ambient Air Quality Standard (GB3095-2012). See Table 6-7 for details.

Table 6-7 Implementation Standards of Ambient Air Quality Assessment

Unit: mg/m3

Pollutants Standard value

CO Daily average 4.0Hourly average 10

NO2 Annual average 0.04Daily average 0.08Hourly average 0.20

6.1.3 Prediction and Result Analysis of Impact on Atmospheric

Environment

This project is a road engineering. This prediction predicts the coefficient of

pollutant production in the short-term (in 2020), mid-term (in 2026) and long-term (in

2037) operation respectively, and predicts NO2 and CO respectively. Some road

sections of this project are characterized by high subgrades, and the motor vehicle

exhaust generated when running on high subgrade sections is slightly larger than the

normal noise level. However, by considering that there is no school or hospital or

other sensitive plots around the project, traffic volume is generally not large and the

altitude difference between sections with high subgrades and general road is not big,

so the prediction results are reasonable in accordance with the normal situation.

6.1.3.1 Atmospheric Prediction of Short-term Operation (in 2020)

(1) Prediction of NO2 in Short-term Operation (in 2020)

Hourly Concentration Prediction of NO① 2 in Short-term Operation (in 2020)

For the prediction of NO2 in short-term operation (in 2020), see Table 6-9 and

Figure 6-7.

Figure 6-7 Prediction of Hourly Concentration of CO2 in Short-term

Operation (in 2020)

Table 6-8 Table for Prediction of Hourly Concentration of CO2 in Short-

term Operation (in 2020)

Predicted Point Background value (mg/m3)

Contribution value(mg/m3)

Superimposed value (mg/m3)

Excess rate (%)

Concentration (mg/m3)

Information of reaching standard

Chenjiazhuang 0.031 0.07551 0.10651 12.1254 0.2 Reach the

standard

Shanghuzhuangzi 0.03 0.02543 0.05543 8.5242 0.2 Reach the standard

Maximum Regional Value 0.031 0.10294 0.13394 16.238

7 0.2 Reach the standard

Table 6-8 and Figure 6-7 indicated that within the assessment scope, the hourly

concentration of NO2 reached the maximum at Chenjiazhuang (one of the protective

targets), with the predicted concentration of 0.10651 mg/m3 and the maximum hourly

concentration of NO2 in the area of 0.13394 mg/m3, meeting the requirements of

standard limits (0.2mg/m3) of Level II in the Ambient Air Quality Standard (GB3095 -

2012).

② Prediction of Daily Average Concentration of NO2 in Short-term Operation (in

2020)

For the prediction of daily average concentration of NO2 in short-term operations

(in 2020), see Table 6-9 and Figure 6-8.

Figure 6-8 Prediction of Daily Average Concentration of CO2 in Short-term

Operation (in 2020)

Table 6-9 Table for Prediction of Daily Average Concentration of CO2 in

Short-term Operation (in 2020)

Predicted Point Background value (mg/m3)

Contribution value(mg/m3)

Superimposed value (mg/m3)

Excess rate (%)

Normal Concentration(mg/m3)



standard

Shanghuzhuangzi 0.028 0.00296 0.03096 3.70090 0.08 Reach the

standard Maximum Regional Value 0.031 0.00785 0.03885 19.817

76 0.08 Reach the standard

Table 6-9 and Figure 6-8 indicated that within the assessment scope, the hourly


targets), with the predicted concentration of 0.03885mg/m3 and the maximum daily

concentration of NO2 in the area of 0.13394 mg/m3, meeting the requirements of


2012).

③ Prediction of Annual Average Concentration of NO2 in Short-term Operation

(in 2020)

For the prediction of annual average concentration of NO2 in short-term

operation (in 2020), see Table 6-10 and Figure 6-9.

Figure 6-9 Prediction of Annual Average Concentration of NO2 in Short-


Table 6-10 Table for Prediction of Annual Average Concentration of NO2 in


Predicted Point

Background value （mg/m3）

Contribution value（mg/m3）

Superimposed value （%）

Excess rate （%） Normal Concentration （ mg/m3）


Chenjiazhuang 0 0.00212 0.00212 5.32104 0.04 Reach the standard

Shanghuzhuangzi 0 0.00083 0.00083 2.01457 0.04 Reach the

standard Maximum Regional Value 0 0.00212 0.00212 5.32104 0.04 Reach the

standard

Table 6-10 and Figure 6-9 indicated that within the assessment scope, the annual

average concentration of NO2 reached the maximum at Chenjiazhuang, with the

distribution concentration of 0.00212 mg/m3 and the maximum distribution of annual

average concentration of NO2 in the area of 0.000212 mg/m3, meeting the

requirements of standard limits (0.2mg/m3) of Level II in the Ambient Air Quality

Standard (GB3095 -2012).

(2) Prediction of CO in Short-term Operation (in 2020)

Prediction of Hourly Concentration of CO in Short-term Operation (in 2020) ①

For the prediction of hourly concentration of CO in short-term operation (in

2020), see Table 6-11 and Figure 6-10.

Figure 6-10 Prediction of Hourly Concentration of CO in Short-term

Operation (in 2020)

Table 6-11 Table for Prediction of Hourly Concentration of CO in Short-


Predicted Point Background value （mg/m3）

Contribution value （ mg/m3

）




Chenjiazhuang 0.7 0.35236 1.05236 3.54125 10 Reach the standard

Shanghuzhuangzi 0.7 0.11869 0.81869 1.12354 10 Reach the standard

Maximum Regional Value 0.7 1.12451 1.82451 12.2541 10 Reach the

standard

Table 6-11 and Figure 6-10 indicated that within the assessment scope, the

hourly concentration of CO reached the maximum at Chenjiazhuang (one of the

protective targets), with the predicted concentration of 1.05236 mg/m3 and the

maximum hourly concentration of CO in the area of 1.82451 mg/m3, meeting the

requirements of standard limits (10mg/m3) of Level II in the Ambient Air Quality


Prediction of Daily Average Concentration of CO in Short-term Operation (in②

2020)

For the prediction of daily average concentration of CO in short-term operation


Figure 6-11 Prediction of Daily Average Concentration of CO in Short-


Table 6-12 Table for Prediction of Daily Average Concentration of CO in










standard


hourly average concentration of CO reached the maximum at Chenjiazhuang (one of

the protective targets), with the predicted concentration of 0.63665 mg/m3 and the

maximum hourly average concentration of CO in the area of 0.91041 mg/m3, meeting

the requirements of standard limits (4.0mg/m3) of Level II in the Ambient Air Quality


6.1.3.1 Prediction of Mid-term Operation (in 2026)

(1) Prediction of NO2 in Mid-term Operation (in 2026)

Prediction of Hourly Concentration of NO① 2 in Mid-term Operation (in 2026)

For the prediction of hourly concentration of NO2 in mid-term operations (in


Figure 6-12 Prediction of Hourly Concentration of NO2 in Mid-term

Operation (in 2026)

Table 6-13 Table for Prediction of Hourly Concentration of NO2 in Mid-




Superimposed value （mg/m3）

Excess rate （%）

Normal Concentration（mg/m3）


Chenjiazhuang 0.031 0.10067 0.13167 6.2142 0.2 Reach the standard


standard Maximum Regional Value 0.031 0.11221 0.14321 8.2145 0.2 Reach the

standard


hourly concentration of NO2 reached the maximum at Chenjiazhuang (one of the

protective targets), with the predicted concentration of 0.13167mg/m3 and the

maximum hourly concentration of NO2 in the area of 0.14321mg/m3, meeting the



Prediction of Daily Average Concentration of NO② 2 in Mid-term Operation (in

2026)

For the prediction of daily average concentration of NO2 in mid-term operation


Figure 6-13 Prediction of Daily Average of NO2 in Mid-term Operation (in

2026)

Table 6-14 Table for Prediction of Daily Average Concentration of NO2 in

Mid-term Operation (in 2026)

Predicted Point




Excess rate （%）

Normal Concentration （ mg/m3）



standard Shanghuzhuangzi 0.028 0.00395 0.03195 4.93454 0.08 Reach the

standard Maximum Regional Value

0.031 0.02519 0.05619 19.2541 0.08 Reach the standard

Table 6-14 and Figure 6-13 indicated that within the assessment scope, the daily


targets), with the predicted concentration of 0.04147mg/m3 and the maximum daily

concentration of NO2 in the area of 0.05619mg/m3, meeting the requirements of


2012).

Prediction of Annual Average Concentration of NO③ 2 in Mid-term Operation

(in 2026)

For the prediction of annual average concentration of NO2 in mid-term operation


Figure 6-14 Prediction of Annual Average Concentration of NO2 in Mid-



Mid-term Operation (in 2026)

Predicted Point




Excess rate （%）



Chenjiazhuang 0 0.00283 0.00283 7.07530 0.04

Reach the standard

Shanghuzhuangzi 0 0.00110 0.00110 2.75248 0.04

Reach the standard

Maximum Regional Value

0 0.00541 0.00541 12.2510 0.04Reach the standard


annual average concentration of NO2 reached the maximum at Chenjiazhuang, with

the distribution concentration of 0.00283 mg/m3 and the maximum distribution of

annual average concentration of NO2 in the area of 0.000541 mg/m3, meeting the



(2) Prediction of CO in Mid-term Operation (in 2026)

Prediction of Hourly Concentration of CO in Mid-term Operation (in 2026) ①

For the prediction of hourly concentration of CO in mid-term pperation (in


Figure 6-15 Prediction of Hourly Concentration of CO in Mid-term

Operation (in 2026)

Table 6-16 Table for Prediction of Hourly Concentration of CO in Mid-


Predicted Point




Excess rate （%）



Chenjiazhuang 0.7 0.44045 1.14045 4.4152 10 Reach the

standard Shanghuzhuangzi 0.7 0.14836 0.84836 1.48751 10 Reach the

standard Maximum Regional Value

0.7 1.62218 2.32218 16.2104 10 Reach the standard




maximum hourly concentration of CO in the area of 1.48751mg/m3, meeting the



Prediction of Daily Average Concentration of CO in Mid-term Operation (in②

2026)

For the prediction of daily average concentration of CO in mid-term operation


Figure 6-16 Prediction of Daily Average Concentration of CO in Mid-


Table 6-17 Table for Prediction of Daily Concentration of CO in Mid-term

Operation (in 2026)

Predicted Point







Shanghuzhuangzi 0.7 0.01727 0.71727 0.43177 4 Reach the

standard Maximum Regional Value 0.7 0.26302 0.96302 6.57538 4 Reach the

standard



the protective targets), with the predicted concentration of 064582mg/m3 and the

maximum hourly average concentration of CO in the area of 0.96302mg/m3, meeting



6.1.3.3 Prediction of Long-term Operation (in 2034)

(1) Prediction of NO2 in Long-term Operation (in 2034)

Prediction of Hourly Concentration of NO① 2 in Long-term Operation (in 2034)

For the prediction of hourly concentration of NO2 in long-term operation (in


Figure 6-17 Prediction of Hourly Concentration of CO2 in Long-term

Operation (in 2034)

Table 6-18 Table for Prediction of Hourly Concentration of CO2 in Long-


Predicted Point




Excess rate （%）

Normal Concentration（mg/m3）





standard


hourly concentration of NO2 reached the maximum at Chenjiazhuang (one of the


maximum hourly concentration of NO2 in the area of 0.15055mg/m3, meeting the



Prediction of Daily Average Concentration of in Long-term Operation (in②

2034)

For the prediction of daily average concentration of NO2 in long-term operation


Figure 6-18 Prediction of Daily Concentration of CO2 in Long-term

Operation (in 2034)

Table 6-19 Table for Prediction of Daily Concentration of CO2 in Long-term

Operation (in 2034)




Excess rate （%）






standard

Table 6-19 and Figure 6-18 indicated that within the assessment scope, the daily


targets), with the predicted concentration of 0.04344g/m3 and the maximum daily

concentration of NO2 in the area of 0.06951mg/m3, meeting the requirements of


2012).

Prediction of Annual Average Concentration of in Long-term Operation (in③

2034)

For the prediction of annual average concentration of NO2 in long-term operation


Figure 6-19 Prediction of Annual Average Concentration of NO2 in Long-



Long-term Operation (in 2034)

Predicted Point




Excess rate （%）



Chenjiazhuang 0 0.00336 0.00336 8.39254 0.04 Reach the standard

Shanghuzhuangzi 0 0.00131 0.00131 3.32145 0.04 Reach the

standard Maximum Regional Value 0 0.02795 0.02795 19.5214 0.04 Reach the

standard


annual average concentration of NO2 reached the maximum at Chenjiazhuang, with

the distribution concentration of 0.00336mg/m3 and the maximum distribution of

annual average concentration of NO2 in the area of 0.02795mg/m3, meeting the



(2) Prediction of CO in Long-term Operation (in 2034)

Prediction of Hourly Concentration of CO in Long-term Operation (in 2034) ①

For the prediction of hourly concentration of CO in long-term operation (in


Figure 6-20 Prediction of Hourly Concentration of CO in Long-term

Operation (in 2034)

Table 6-20 Table for Prediction of Hourly Concentration of CO in Long-





Excess rate （%）






standard




maximum hourly concentration of CO in the area of 1.2.83201mg/m3, meeting the



Prediction of Daily Average Concentration of CO in Long-term Operation (in②

2034)

For the prediction of daily average concentration of CO in long-term operation


Figure 6-21 Prediction of Daily Average Concentration of CO in Long-


Table 6-22 Table for Prediction of Daily Average Concentration of CO in

Long-term Operation (in 2034)

Predicted Point




Excess rate （%）

Normal Concentration（mg/m3

） Information of reaching standard


Shanghuzhuangzi 0.7 0.02270 0.7227 0.56747 4 Reach the

standard Maximum Regional Value 0.7 0.34568 1.04568 8.64139 4 Reach the

standard



the protective targets), with the predicted concentration of 066022mg/m3 and the

maximum hourly average concentration of CO in the area of 1.04568mg/m3, meeting



(3) Atmospheric prediction summary

It can be seen from the above atmospheric prediction results that the hourly

concentration, daily average concentration and annual average concentration of NO2

meet the standard limits of Level II of the Ambient Air Quality Standard (GB3095-

2012) during each operation period. The hourly concentration and daily average

concentration of CO all meet the standard limits of Level II of the Ambient Air

Quality Standard (GB3095-2012). Generally speaking, the operation period of this

project will not have a significant impact on the ambient air quality.

Xingminxin Village of Xijing Town of Gulang County-S308 Route was

designed as urban secondary road. The actual traffic volume after the completion of

the road is far less than that of road from the Gulang County to Shuangta Industrial

Park. According to the above predictions, the exhaust gas pollutants generated during

the short-term, mid-term and long-term road operations of Gulang County to

Shuangta Industrial Park have less impact on the surrounding environment. Therefore,

it can be concluded that the operation periods of the Xingminxin Village of Xijing

Town of Gulang County-S308 Route have less impact on the surrounding

environment.

6.2 Assessment of Impact on Noise Environment 6.2.1 Prediction mode

6.2.1.1 Basic prediction mode

The prediction mode adopts the prediction mode recommended in Environmental

Impact Assessment Technical Guidelines for Acoustic Environment (HJ2.4-2009).

a) Prediction model for the equivalent sound level of vehicle model i

Where:

Leq(h)- The hourly equivalent sound level of vehicle model i, dB(A)； (L0E) - Speed of vehicle model i is Vi, km/h; For the location with horizontal

distance of 7.5m, the average energy sound level is A, dB(A);

Ni - The average hourly traffic volume of the vehicle model i at a certain forecast

point during the day and night, /h;

R - The distance from the center line of the lane to the prediction point, m; it is

applicable to the noise prediction for prediction point with r>7.5m

vi - average speed of vehicle model i, km/h;

T — Calculate the time of equivalent sound level, 1h;

ψ1, ψ2 —The angle between the prediction point and the two ends of the section

with finite length. Radian, see figure 6-22.

Figure 6-22 The modified function for a limited section of road, A-B for the

roadside, P for the prediction point

ΔL—Correction caused by other factors, dB(A), can be calculated according to

the following formula:

ΔL+ΔL1-ΔL2+ΔL3

ΔL1+ΔLGradient+ΔLGradient

ΔL2=Aatm+Agr+Abar+Amisc

Where:

ΔL1—Correction caused by line, dB(A)

ΔLGradient—correction of longitudinal grade, dB(A)

ΔLRoad Surface—Correction caused by road surface material, dB(A)

ΔL2—The attenuation caused by the propagation of sound waves, dB(A)

ΔL3—Correction caused by reflection, dB(A)

b) Equivalent sound level of total traffic volume:

If a prediction point is affected by traffic noise from multiple lines(The

prediction points around the viaduct are influenced by the multiple lanes over and

under the bridge, and the prediction points of the roadside high-rise buildings are

affected by the multiple lanes on the ground), the contribution value is obtained from

the superposition of sound level of the prediction point on each lane .

6.2.1.2 Calculation of correction and decrement

(1) Correction caused by line

Correction of highway longitudinal grade (ΔL Gradient) ①

Highway longitudinal grade correction ΔL gradient can be calculated as follows:

Large vehicle: ΔLGradient=98×β

Medium-sized vehicle: ΔLGradient=73×β

Large vehicle: ΔLGradient=50×β

Where:

β—Correction of highway longitudinal grade, %

Correction of road surface② （ΔLRoad Surface） For noise correction of different road surface, see Table 6-23.

Table 6-23 Noise correction of general road surface

Roads Being Intersected With Correction of Different Speed30 40 50

Asphalt Concrete Pavement 0 0 0Cement Concrete 1.0 1.5 2.0

Correction in the table is for★ (L0E)i on the asphalt concrete pavement

All of the project belongs to asphalt concrete pavement, and the corrected value

of which is 0.

(2) The decrement caused by the propagation of sound waves（ΔL2） Decrement of obstacle① （Abar）

α) Calculation of sound barrier's decrement（Abar） Infinite sound barrier can be calculated as follows:

Where:

f—frequency of sound wave, Hz;

δ—acoustic path difference, m;

c—sound velocity, m/s.

In the evaluation of highway construction project, decrement of the sound level

A is about the decrement of barrier calculated by using 500Hz frequency.

β) Calculation of finite sound barrier:

Abar is still calculated from the above formula. and then corrected according to

Figure 6-23. Corrected Abar is based on the blind angle β/θ. The dotted line in Figure

6-2 means: Decrement of infinite sound barrier is 8.5dB,if the percentage of blind

angle is 92%, the decrement of finite noise barrier is 6.6 dB.

Parameter of Aatm, Agr, Abar, and Amisc are calculated according to Environmental

Impact Assessment Technical Guidelines for Acoustic Environment (HJ2.4-2009).

(3) Correction caused by reflection

Noise (impact) correction of urban road intersection ①

Noise correction of intersection (additional value), see Table 6-8.

Figure 6-23 Correction diagram and blind angle

Table 6-24 Additional value of noise in intersection

The distance between the affected point of noise and the intersection point of the nearest fast lane(m) Intersection（dB）

≤40 340＜D≤70 270＜D≤100 1

＞100 0

Reflection correction of buildings on both sides ②

Correction for impact factors of reflection from landform and sound source on

both sides of the building. When the total distance between the buildings on both

sides of the line is less than 30% of the total height, correction of the reflected sound

is:

When buildings on both sides are the reflector: ②

ΔLReflection=4Hb/w ≤3.2 dB

The buildings on both sides are generally absorbent surfaces:

ΔLReflection=2Hb/w ≤1.6dB

Both sides of the building belong to fully absorbed surface:

ΔLReflection≈0

Where:

w—Distance between the reflective surfaces of buildings on both sides of the

line, m;

Hb—The average height of building, h, average height of the lower side of the

line is used in the calculation , m.

6.2.1.3 Selection of prediction mode

The assessment uses NoiseSystem V3.0 software which is constructed according

to the Environmental Impact Assessment Technical Guidelines Acoustic Environment

HJ2.4-2009, and it is a three-dimensional noise impact assessment system based on

GIS. The software takes all sound sources, covers and meteorological elements in the

prediction area into consideration, and the results in line with guidance are provided.

It is applicable to noise level 3, level 2, and level 1 in industrial projects, highway

projects and railway project environmental.

6.2.2 Prediction and Assessment of Acoustic Environment

6.2.2.1 Prediction parameter selection

(1) Traffic volume

Hourly average traffic volume during the daytime and nighttime of the feature

year are adopted, as shown in Table 3-11;

(2) Prediction period

Three feature years of 2020, 2026 and 2034 could be predicted respectively;

(3) Designed vehicle speed

According to the feasibility study report of this project, the designed vehicle

speed in this project is 40km/h.

(4) Speed calculation

Running speed calculation adopts Noise System V3.0 software. After inputting

the traffic volume and designed vehicle speed, the hourly running speed can be

calculated.

(5) Pavement type

The road surface of the project adopts asphalt concrete pavement.

According to the project analysis, the noise prediction parameters of road

engineering in this project are shown in Table 6-24.

Table 6-24 Table of Noise Prediction Parameter of Gulang-Shuangta Road

RoadName

Designed

Vehicle Speed

Traffic volume (vehicle/h)

Road Surface

Type

RoadWidth

Vehicle Lane

Quantity

Distance from lane centerline

to the road centerline (m)

Feature

yearPeriod

Small vehicl

e

Medium-sized

vehicle

Large vehicle

Gulang

County to

Shuangta

Industrial Park

40

2020

Daytime 297 169 80

AsphaltConcrete

26 4-18.75, -6.25, 6.25, 18.75

Nighttime 67 46 24

2026

Daytime 588 368 152

Nighttime 141 79 57

2034

Daytime 857 514 341

Nighttime 219 128 81

6.2.2.2 Prediction Point and Prediction Section

(1) Discrete point

This assessment predicts that the discrete points select the five existing protected

targets within the assessment scope of this project. The predicted sensitive spots are

shown in Table 6-25.

Table 6-25 Predicted Sensitive Spots of Project

Serial No. Name X coordinate (m) Y coordinate (m) Predicted height (m)

1 Chenjiazhuang -441.59 -2538.56 1.22 Donggou -386.08 -2046.89 1.2

3 Weijiadazhuang -160.07 -1995.34 1.24 Zhangjiamo -636.99 1398.86 1.25 Shanghuzhuangzi -773.26 2800.79 1.2

(2) Horizontal prediction section

Without considering the altitude difference, the distribution of buildings on both

sides of the road, a total of two horizontal prediction sections are established.

Section 1: Set at 0 ~ 200m to the north of the boundary, the step length of the line

segment is 10m and the predicted height is 1.2m.

Section 2: Set at 0 ~ 200m to the south of the boundary, the step length of line

segment is 10m and the predicted height is 1.2m.

6.2.2.3 Prediction contents

(1) According to the predicted traffic volume of this project, the horizontal sound

field can be predicted within 200m on both sides of the road only after considering the

contribution of traffic noise in the ideal section (i.e. without taking the building

insertion noise loss into account) after the completion of the road. After that, the

isogonic sound chart could be drawn and the traffic noise protection distance could be

given.

(2) After the project reaches the designed traffic flow, the corresponding acoustic

environment background values are superimposed by the predicted traffic noise

values to predict the acoustic environment quality of each objectives of environmental

protection.

6.2.2.4 Impact Prediction and Analysis of Acoustic Environment

(1) Analysis of forecast results for horizontal sound field distribution

In order to understand the distribution of the sound field in this project, two

typical horizontal sound field prediction sections were selected on both sides of

Gushuang road, noise distribution of the prediction section does not consider the high

difference and the distribution of buildings on both sides of the road, and it only

consider horizontal sound field decrement. Prediction results of horizontal sound field

in each section ,see Table 6-26.

Table 6-26 Prediction Results of Noise Contribution Value of Each Year on

Shuanggu Road Unit: dB (A)

Prediction period Distance to the road centerline (m)7.5 10 20 30 40 60 80 100 120 150

2020 Daytime 69.71 63.26 57.26 51.41 50.19 49.27 48.52 47.86 47.26 46.72Nighttime 65.43 57.12 51.72 45.83 44.59 43.66 42.90 42.23 41.63 41.07

2026 Daytime 70.05 65.61 59.61 53.77 52.55 51.63 50.87 50.22 49.62 49.07Nighttime 66.25 60.01 54.01 48.12 44.89 43.96 42.20 41.53 41.13 40.38

2034Daytime 71.25 66.07 60.07 54.22 54.00 53.08 52.33 51.67 51.07 50.52

Nighttime 66.87 60.48 54.48 49.59 44.36 44.23 43.67 43.00 42.40 41.85

Table 6-26 shows that due to the increase of traffic volume after completion of

the road, the traffic noise is increased, accordingly, the scope of influence is also

expanded when the corresponding influence range is increases year by year.

According to EHS of World Bank ( Daytime 55dB , Nighttime 45dB ) and combing

with traffic noise prediction results, and the control distance of the standard positions

on both sides of the short-term, mid-term, and long-term are provided, details are

included in Table 6-27.

Table 6-27 Forecast statistics of road traffic noise during each period in

operation

Road nameStandard

2020 2026 2034Daytime Nighttime Daytime Nighttime Daytime Nighttime

World Bank EHS ＜30 ＜35 ＜30 ＜40 ＜30 ＜40

Statistical result of Table 6-27 indicates that without the consideration of

elevation difference and distribution of buildings on both sides of the road, the

standard distance for road traffic noise forecast in 2020, 2026 and 2034 of Gushuang

road in the daytime and at night will be 30m and 35m respectively; standard distance

in the daytime and nighttime in 2026 will be 30m and 40m respectively; and standard

distance in the daytime and nighttime in 2034 will be 30m and 40m respectively.

(2) Environmental impact prediction of sensitive spot

The prediction value of impact of the project on sensitive spots = the noise

contribution value of the project + background value.

According to the current status of the project and the current quality status of the

surrounding environment, the current status monitoring value includes the

contribution of the current traffic noise which can not represent the noise background

value at the sensitive spot. By analyzing the current situation of the surrounding

environment of the project and the distribution of each sensitive spot, the noise

background value of the sensitive spot of this assessment selects the maximum value

of the current monitoring value of noise to represent the noise background value at

each sensitive spot of the project. Some road sections of this project are characterized

by high subgrades, and the vehicle noise generated when running on high subgrade

sections is slightly larger than the normal noise level. However, by considering that

there is no school or hospital or other sensitive plots around the project, traffic volume

is generally not large and the altitude difference between sections with high subgrades

and general road is not big, so the prediction results are reasonable in accordance with

the normal situation.

Noise prediction of sensitive spot during short-term operation ( in 2020) ①

The prediction of impact on acoustic environment of sensitive spots during short-

term operation (in 2020) is shown in Table 6-28 and Chart 6-24 and Chart 6-25.

Table 6-28 Prediction results of acoustic environment of sensitive spot

during short-term operation ( in 2020)

Noise sensitive spot

Coordinate Feature year

Contribution value dB (A)

Background value dB (A)

Prediction value dB (A)


X Y Daytime

Nighttime

Daytime

Nighttime

Daytime

Nighttime

Reach the standard

Chenjiazhuang -441.59 -2538.56

2020

45.59 39.62 51.3 39.7 52.31 42.67 Reach the standard

Donggou -386.08 -2046.89 47.84 41.97 49.9 38.2 52.00 43.50 Reach the standard

Weijiadazhuang -160.07 -1995.34 47.38 41.52 52.4 40.1 53.59 43.88 Reach the

standard

Zhangjiamo -636.99 1398.86 46.81 40.94 48.9 37.5 50.99 42.57 Reach the standard

Shanghuzhuangzi -773.26 2800.79 42.71 36.84 53.1 40.4 53.48 41.99 Reach the

standard World Bank EHS Quality Standards: Daytime: 55 dB (A), Nighttime: 45 dB (A)

Figure 6-24 Isoline of Noise Prediction in the Daytime During the Short-

term(2020) Operation of Gushuang Road

Figure 6-25 Isoline of Noise Prediction at Night During the Short-term(2020)

Operation of Gushuang Road

In conclusion, after the completion of project, the traffic noise has a certain impact

on the surrounding acoustic environment quality. According to the prediction results in

Table 6-28, it can be seen that after the background value is superimposed, there is no

violation on the sensitive spots during the operation period of the road, meeting the

World Bank EHS Quality Standards, namely, 55dB (A) in the daytime and 45dB (A) in

the nighttime. In addition, the maximum prediction value of noise in the daytime and in

the nighttime are both in Weijiadazhuang and the short-term (2020) impact of the

completion of project on acoustic environment of sensitive spots is within the

acceptable range.

Noise prediction of sensitive spot during mid-term operation ( in 2026) ②

The prediction of impact on acoustic environment of sensitive spots during mid-

term operation (in 2026) is shown in Table 6-29 and Chart 6-26 and Chart 6-27.

Table 6-29 Prediction Results of Impact on Acoustic Environment of

Sensitive Spots in the Mid-Term Operation (in 2026)







X Y Daytime

Nighttime

Daytime

Nighttime

Daytime

Nighttime

Reach the standard


2026

48.52 43.11 51.3 39.7 53.14 44.74 Reach the standard

Donggou -386.08 -2046.89 50.86 45.46 49.9 38.2 53.42 46.21 Exceed the standard

Weijiadazhuang -160.07 -1995.34 50.41 45.00 52.4 40.1 54.53 46.22 Exceed the

standard

Zhangjiamo -636.99 1398.86 49.83 44.43 48.9 37.5 52.40 45.23 Exceed the standard

Shanghuzhuangzi -773.26 2800.79 45.73 40.33 53.1 40.4 53.83 43.38 Reach the


Figure 6-26 Isoline of Noise Prediction in the Daytime During the Mid-term(2026)


Figure 6-27 Isoline of Noise Prediction at Night During the Mid-term(2026)

Scale 1:50,000


In conclusion, after the completion of the project, the traffic noise has a certain

impact on the surrounding acoustic environment quality. According to the prediction

results in Table 6-29, it can be seen that after the background value is superimposed,

there emerge violation in sensitive spots of Donggou, Weijiadazhuang and Zhangjiamo

in the nighttime during the mid-term operation of the project, showing that the mid-

term operation (in 2026) of the road in this project will impose certain impacts on the

acoustic environment of sensitive spots. Therefore, this EIA requires the construction

unit to actively monitor the current status during the operation period. In the event of

any violation, the construction unit should take timely noise prevention measures such

as the replacement of double glazing of sensitive spots, so that the impact of noise on

the surrounding sensitive spots will be reduced to a minimum.

Noise prediction of sensitive spot during long-term operation ( in 2034) ③

The impact on acoustic environment of sensitive spots during long-term

operation (in 2034) is shown in Table 6-30 and Chart 6-28 and Chart 6-29.

Table 6-30 Prediction Results of Impact on Acoustic Environment of

Sensitive Spots in the Long-Term Operation (in 2034)







X Y Daytime

Nighttime

Daytime

Nighttime

Daytime

Nighttime

Reach the standard


2034

51.03 44.90 51.3 39.7 54.18 46.05 Exceed the standard

Donggou -386.08 -2046.89 53.38 47.25 49.9 38.2 54.99 47.76 Exceed the standard

Weijiadazhuang -160.07 -1995.34 52.92 46.79 52.4 40.1 55.68 47.63 Exceed the

standard Zhangjiamo Village Lane -636.99 1398.86 52.35 46.22 48.9 37.5 53.97 46.77 Exceed the

standard Shanghuzhuangzi -773.26 2800.79 48.25 42.12 53.1 40.4 54.33 44.35 Reach the


Figure 6-28 Isoline of Noise Prediction in the Daytime During the Long-


Figure 6-29 Isoline of Noise Prediction in the Daytime During the Long-


In conclusion , after the completion of the project, the traffic noise has a certain

impact on the surrounding acoustic environment quality. According to the prediction

results in Table 6-30, it can be seen that after the background value is superimposed,

the noise standard in Chenjiazhuang, Donggou, Weijiadazhuang and Zhangjiamo

exceeds the standard regulated by World Bank EHS in the nighttime, particularly, the

noise value of Weijiadazhuang exceeds the standard both in the daytime and

nighttime. Therefore, this EIA requires the construction unit to actively monitor the

current status during the mid-term operation. In the event of any violation, the

construction unit should take timely noise prevention measures such as the

replacement of double glazing of sensitive spots, so that the impact of noise on the

surrounding sensitive spots will be reduced to a minimum.

Summary of noise prediction of sensitive spots ④

In conclusion, after the completion of the project, the traffic noise has a certain

impact on the surrounding acoustic environment quality. According to the above

prediction results, it can be seen that in the short-term operation, there is no violation in

each sensitive spot after the background value is superimposed during the project

operation, meeting the limit regulated by World Bank EHS Environmental Quality

Standards, namely, 55dB (A) in the daytime and 45dB (A) in the nighttime. However,

during the mid-term and long-term operation, the noise at a number of sensitive spots

begins to exceed the standard. During the long-term of operation, the noise in

Weijiadazhuang exceeds the standard both in the daytime and nighttime. Therefore, the

EIA requires that the construction unit actively carry out the current status monitoring

during the mid-term operation. In the event of any violation, noise prevention measures

should be adopted timely, such as the replacement of double glazing of sensitive spots,

so that the impact of noise on the surrounding sensitive spots will be reduced to a

minimum.

There is no sensitive spot around the Xingminxin Village of Xijing County of

Gulang County-S308 Route Road Project and the traffic volume is rather small after

the operation of the road, which poses the minor impact on the surrounding

environment.

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