Inclusion of land cover and traffic data in NO2 mapping methodology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F17%3AN0000149" target="_blank" >RIV/00020699:_____/17:N0000149 - isvavai.cz</a>

Výsledek na webu

<a href="http://acm.eionet.europa.eu/reports/ETCACM_TP_2016_12_LC_and_traffic_data_in_NO2_mapping" target="_blank" >http://acm.eionet.europa.eu/reports/ETCACM_TP_2016_12_LC_and_traffic_data_in_NO2_mapping</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Inclusion of land cover and traffic data in NO2 mapping methodology

Popis výsledku v původním jazyce

The ETC/ACM produces annually Europe-wide PM2.5, PM10 and Ozone maps of air quality using geostatistical techniques. Nitrogen dioxide (NO2) maps have been produced at irregular intervals. Now that the importance of NO2 mapping is growing due to new evidence on negative health impacts of NO2 there is a wish to produce NO2 maps on annual basis. However, NO2 maps produced so far have relative high uncertainty compared to the particulate matter and ozone maps. Furthermore, these maps reflect rural and urban background areas only, not accounting for local hot spots (traffic), although traffic is the most important source of NO2. To produce more advanced European-scale maps of annual average NO2 concentrations on a regular basis, this paper investigates the explanatory power of land use and traffic related data in the spatial regression modelling of NO2. The Corine Land Cover (CLC, 100m grids) and the Global Road inventory Project (GRIP, vector) data appear to be suitable data sources due to their high resolution and European-wide coverage. Next to this, mapping of traffic related air quality using measurement data from traffic stations and available supplementary data has been explored. Different options on how to include best such a traffic map layer in the background map and in the exposure estimates has been examined. All analyses have been based on 2013 data. As a result one concludes that inclusion of land cover and road data brings clear improvement of NO2 mapping methodology.

Název v anglickém jazyce

Inclusion of land cover and traffic data in NO2 mapping methodology

Popis výsledku anglicky

The ETC/ACM produces annually Europe-wide PM2.5, PM10 and Ozone maps of air quality using geostatistical techniques. Nitrogen dioxide (NO2) maps have been produced at irregular intervals. Now that the importance of NO2 mapping is growing due to new evidence on negative health impacts of NO2 there is a wish to produce NO2 maps on annual basis. However, NO2 maps produced so far have relative high uncertainty compared to the particulate matter and ozone maps. Furthermore, these maps reflect rural and urban background areas only, not accounting for local hot spots (traffic), although traffic is the most important source of NO2. To produce more advanced European-scale maps of annual average NO2 concentrations on a regular basis, this paper investigates the explanatory power of land use and traffic related data in the spatial regression modelling of NO2. The Corine Land Cover (CLC, 100m grids) and the Global Road inventory Project (GRIP, vector) data appear to be suitable data sources due to their high resolution and European-wide coverage. Next to this, mapping of traffic related air quality using measurement data from traffic stations and available supplementary data has been explored. Different options on how to include best such a traffic map layer in the background map and in the exposure estimates has been examined. All analyses have been based on 2013 data. As a result one concludes that inclusion of land cover and road data brings clear improvement of NO2 mapping methodology.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů