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.
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 Regional AQ Forecasts Meteorological Data AQ measurements Emission Inventories (if available) GIS- Datasets 3 3
Operational modelling system 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 Information Calibration extraction update (every 10 minutes) (1-4 times per year) FMI-ENFUSER (runs every 1-6h) Model output Web Portal (figures, animations, gridded data, etc) NO2, PM2.5, PM10, O3, AQI Amazon Web Service, HerokuApp, Dropbox 4
Demonstration in Asia 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. 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 5
Smart Urban Air Quality Architecture AIR QUALITY MODELING AND FORECASTING STANDARD API WEATHER DATA AND FORECASTS DATABASE AIR QUALITY DATA
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 Pegasor Helsinki Region Helsinki Pegasor AQ TM Urban Environmental Finnish University sensors, (appr. 3 pcs) to Services Authority Meteorological be installed around • Evaluation of Helsinki Metropolitan Vaisala Institute current and Data from Helsinki area area beyond state-of- regulatory air quality Vaisala AQT420 ENFUSER air the-art Kumpula Measurements of network: comparisons and air quality sensors quality fusion observations and particulate mass and verification against (appr. 15 pcs) to model to study their potential as number, especially in reference data part of new AQ be installed AQ network nano size class network. Research related to around Helsinki optimization and Metropolitan area • Helsinki area air quality impact to model Research related spatial and temporal performance to e.g. aerosol Measurements of number size variation Comparisons and NO 2 , O 3 , CO and distribution, Utilization of data for HSY SO 2 gases and analyses with aerosol chemical PM2.5 and PM10 Cityzer-project public services composition and particulates comprehensive trace gas characterization
Vaisala new air quality transmitters for supplementary air quality networks AQT410 AQT420 Measures NO 2 , SO 2 , CO and O 3 Measures NO 2 , SO 2 , CO and O 3 and also PM2.5 and PM10 Particulate Matter
Pollutant gas measurement • One AQT400 device has 4 electrochemical sensors for different gases • NO 2 O 3 NO 2 , SO 2 , CO and O 3 gases available today • Other gases (H 2 S, NO, VOC) to be configurable later SO 2 • CO 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
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 12 6/29/2017
Laser Particle Counter for PM2.5/PM10 • Measures concentration and size distribution of >0.3 m m 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
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