HAQT-

Helsinki AQ TestbedAri Karppinen; Athens 6/2017

HAQT

• The existing reference-level air quality monitoring network is supplemented by two types of commercial air quality instruments.

• The added value of these supporting and affordable air quality instruments, when used within an air-quality monitoring network, will be investigated using the ENFUSER modelling system.

• ENFUSER also offers diagnostics for the assessment and fine-tuning of the sensor network supplying the model.

33

Regional AQ Forecasts

Emission

Inventories

(if available)

Meteorological DataAQ measurements

GIS-

Datasets

FMI-ENFUSER

• Information fusion using open access

and globally available datasets

• Hourly average NO2, PM2.5, PM10 and

O3

• Adapts to recent measured AQ data

• Can be calibrated and used without local

emission inventories

Operational modelling system

4

FMI-ENFUSER(runs every 1-6h)

Information

extraction(every 10 minutes)

Calibration

update(1-4 times per year)

Model output(figures, animations,

gridded data, etc)

Web Portal

For selected cities in Finland FMI-ENFUSER produces high resolution

(15x15 m) AQ information

- Includes AQ forecasts for the next 12-48 hours

- Model data accessible through a Web Portal

NO2, PM2.5, PM10, O3, AQI

Amazon Web Service, HerokuApp, Dropbox

A demonstration in Langfang, China, utilizing 5 installed PM2.5 sensors.

Continues soon with more sensors (3x) and regional AQ model data being included.

Also, ENFUSER will soon be demonstrated in Delhi, India as a part of CLIMOB project.

5

Demonstration in Asia

Figure: A closer look at the hourly PM2.5 concentration in Langfang,

given by FMI-ENFUSER visualization toolbox.

An example of estimated PM2.5 concentration time

series based on the sensor data in Langfang. The

selected example location is just outside of Silver City

Hotel, Langfang

Smart Urban Air Quality Architecture

WEATHER

DATA AND

FORECASTS

AIR QUALITY

DATA

AIR QUALITY

MODELING AND

FORECASTING

DATABASE

STANDARD

API

Helsinki Metropolitan Air Quality Testbed

Full-scale ground-breaking air quality monitoring architecture to Helsinki Metropolitan area to

• Improve the quality of life of citizens

• Create improved services for air quality foreasting, alerting and traffic and city design

• Create additional products and applications around Cleantech business area

• Conduct research related to globally known Finnish reaseach areas of atmospheric physics (HU) and air quality and urban meteorology (FMI), supported by Helsinki Region Environmental Services Authority (HSY) and industrial partners Vaisala and Pegasor

Testbed Partners

Helsinki University

• Evaluation of current and beyond state-of-the-art Kumpulaobservations and their potential as part of new AQ network.

• Research related to e.g. aerosol number size distribution, aerosol chemical composition and comprehensive trace gas characterization

Finnish

Meteorological

Institute

ENFUSER air

quality fusion

model to study

AQ network

optimization and

impact to model

performance

Comparisons and

analyses with

Cityzer-project

Vaisala

Vaisala AQT420

air quality sensors

(appr. 15 pcs) to

be installed

around Helsinki

Metropolitan area

Measurements of

NO2, O3, CO and

SO2 gases and

PM2.5 and PM10

particulates

Pegasor

Pegasor AQTM Urban

sensors, (appr. 3 pcs) to

be installed around

Helsinki Metropolitan

area

Measurements of

particulate mass and

number, especially in

nano size class

Helsinki Region

Environmental

Services Authority

Data from Helsinki area

regulatory air quality

network: comparisons and

verification against

reference data

Research related to

Helsinki area air quality

spatial and temporal

variation

Utilization of data for HSY

public services

Vaisala new air quality transmitters for

supplementary air quality networks

AQT410

Measures NO2, SO2, CO and O3

AQT420

Measures NO2, SO2, CO and O3 and also PM2.5 and PM10 Particulate Matter

Pollutant gas measurement

• One AQT400 device has 4 electrochemical sensors for different gases

• NO2, SO2, CO and O3 gases available today

• Other gases (H2S, NO, VOC) to be configurable later

• Effects of temperature, humidity and aging are compensated by advanced adaptive algorithms

• Measurement performance of cost effective sensors is significantly improved thanks to the algorithms

O3

COSO2

NO2

Pollutant gas measurement with advanced algorithms

• Compensation of effects of ambient conditions allows the use a compact and light-weight sensor structure, without heavy covering box

• The sensor can be placed in open air and it can be easily mounted to various locations:

• on streets on pillars and walls of buildings

• industrial sites

• indoors

• on moving vehicles

Particulate Matter Measurement

Laser Particle Counter

• Size distribution with optical granulometric measurement

• Measures 1 minute sample between 5-10 minutes

6/29/201712

Laser Particle Counter for PM2.5/PM10

• Measures concentration and size distributionof >0.3 mm particles

• Each particle scatters light, the amount of scattered light is proportional to the size of the particle

• Algorithms are applied to calculate PM2.5 and PM10 taking into account ambient humidity

SummaryWe will test :

• new sensors (Vaisala, Pegasor, others ?)

• fusion methodologies , sensor site optimisation algorithms

• Duration (planned) 3-years : 1st phase 1½ years

• Both research and practical/operative applications

• 1st version of operative AQ-forecast system based on AQT will be launched at the end of year (opeated by HSY)

• System will be continuosly devoleped during the 3 years -> assesment of the added value of the new ”low cost sensors