Spatial surrogates for the disaggregation of CORINAIR emission inventories
CORINAIR atmospheric emission inventories are frequently used input data for air quality models with a domain situated in Europe. In CORINAIR emission inventories, sources are broken down over 11 major source categories. This paper presents spatial surrogates for the disaggregation of CORINAIR atmos...
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| Veröffentlicht in: | Atmospheric environment (1994) 2009-02, Vol.43 (6), p.1246-1254 |
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| container_title | Atmospheric environment (1994) |
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| creator | Maes, Joachim Vliegen, Jo Van de Vel, Karen Janssen, Stijn Deutsch, Felix De Ridder, Koen Mensink, Clemens |
| description | CORINAIR atmospheric emission inventories are frequently used input data for air quality models with a domain situated in Europe. In CORINAIR emission inventories, sources are broken down over 11 major source categories. This paper presents spatial surrogates for the disaggregation of CORINAIR atmospheric emission inventories for input of air pollutants and particulate matter to grid or polygon based air quality model domains inside Europe. The basis for the disaggregation model was the CLC2000 land cover data to which statistical weights were added. Weights were population census data for residential emissions, employment statistics for agricultural and industrial area emissions, livestock statistics for ammonia emissions and annual aircraft movements for emissions realized by air transport. Additional road and off-road network information was used to disaggregate emissions realized by traffic. A comparison of top down produced emission estimates with spatially resolved national emission data for The Netherlands and the United Kingdom gave confidence in the present spatial surrogates as a tool for the top down production of atmospheric emission maps. Explained variance at a spatial resolution of 5
km was >70% for CO, NMVOC and NO
x
, >60% for PM10 and almost 50% for SO
2. |
| doi_str_mv | 10.1016/j.atmosenv.2008.11.040 |
| format | Article |
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km was >70% for CO, NMVOC and NO
x
, >60% for PM10 and almost 50% for SO
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km was >70% for CO, NMVOC and NO
x
, >60% for PM10 and almost 50% for SO
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In CORINAIR emission inventories, sources are broken down over 11 major source categories. This paper presents spatial surrogates for the disaggregation of CORINAIR atmospheric emission inventories for input of air pollutants and particulate matter to grid or polygon based air quality model domains inside Europe. The basis for the disaggregation model was the CLC2000 land cover data to which statistical weights were added. Weights were population census data for residential emissions, employment statistics for agricultural and industrial area emissions, livestock statistics for ammonia emissions and annual aircraft movements for emissions realized by air transport. Additional road and off-road network information was used to disaggregate emissions realized by traffic. A comparison of top down produced emission estimates with spatially resolved national emission data for The Netherlands and the United Kingdom gave confidence in the present spatial surrogates as a tool for the top down production of atmospheric emission maps. Explained variance at a spatial resolution of 5
km was >70% for CO, NMVOC and NO
x
, >60% for PM10 and almost 50% for SO
2.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.atmosenv.2008.11.040</doi><tpages>9</tpages></addata></record> |
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| subjects | Analysis methods Applied sciences Atmospheric emissions Atmospheric pollution CORINE land cover EMEP Exact sciences and technology Pollution SNAP Spatial disaggregation |
| title | Spatial surrogates for the disaggregation of CORINAIR emission inventories |
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