HAQT- Helsinki AQ Testbed Ari Karppinen; Athens 6/2017 HAQT The - - PowerPoint PPT Presentation

HAQT- Helsinki AQ Testbed

Ari 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.

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Regional AQ Forecasts Emission Inventories (if available)

Meteorological Data

AQ 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.

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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 Kumpula

• bservations 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

• ptimization 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 CO SO2 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:

• n streets on pillars and walls of buildings
• industrial sites
• indoors
• n moving vehicles

Particulate Matter Measurement

Laser Particle Counter

• Size distribution with optical granulometric

measurement

• Measures 1 minute sample between 5-10 minutes

6/29/2017 12

Laser Particle Counter for PM2.5/PM10

• Measures concentration and size distribution
• f >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

Summary

We 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