About: Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper 2011/5.     Goto   Sponge   NotDistinct   Permalink

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  • This report describes the use of multiple linear regression to derive pseudo PM2.5 annual mean concentrations from measured PM10 annual mean concentrations and applies these data to derive European wide maps of annual mean PM2.5. Maps are made for the years 2007 and 2008. It is found that using multiple linear regression provides estimates of annual mean PM2.5 close to, or within, the data quality objectives set out in Air Quality Directive (2008/50/EC), when taking into account the less stringent requirements for data below the lower assessment threshold. However, the pseudo PM2.5 data does not completely satisfy the more stringent data quality objectives for fixed measurements alone, and so the pseudo PM2.5 data cannot be used as a direct replacement for monitoring data. The pseudo PM2.5 data derived is considered to be of sufficient quality for its use in the map making application carried out here. Maps are created and their uncertainty is assessed using cross-validation methods. In addition, the population exposure for all the countries in Europe is assessed, using the population weighted concentrations and number of people exposed above the target value threshold of 25 μgm-3. A number of countries are found to have a significant number of their population exposed to levels above the target value. It is recommended to implement the pseudo PM2.5 station data and the production of PM2.5 maps operationally at EEA, at least until sufficient numbers of PM2.5 stations become available. In addition it is recommended to develop, and operationally put in place, methods for determining the uncertainty of the exposure calculations.
  • This report describes the use of multiple linear regression to derive pseudo PM2.5 annual mean concentrations from measured PM10 annual mean concentrations and applies these data to derive European wide maps of annual mean PM2.5. Maps are made for the years 2007 and 2008. It is found that using multiple linear regression provides estimates of annual mean PM2.5 close to, or within, the data quality objectives set out in Air Quality Directive (2008/50/EC), when taking into account the less stringent requirements for data below the lower assessment threshold. However, the pseudo PM2.5 data does not completely satisfy the more stringent data quality objectives for fixed measurements alone, and so the pseudo PM2.5 data cannot be used as a direct replacement for monitoring data. The pseudo PM2.5 data derived is considered to be of sufficient quality for its use in the map making application carried out here. Maps are created and their uncertainty is assessed using cross-validation methods. In addition, the population exposure for all the countries in Europe is assessed, using the population weighted concentrations and number of people exposed above the target value threshold of 25 μgm-3. A number of countries are found to have a significant number of their population exposed to levels above the target value. It is recommended to implement the pseudo PM2.5 station data and the production of PM2.5 maps operationally at EEA, at least until sufficient numbers of PM2.5 stations become available. In addition it is recommended to develop, and operationally put in place, methods for determining the uncertainty of the exposure calculations. (en)
Title
  • Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper 2011/5.
  • Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper 2011/5. (en)
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  • Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper 2011/5.
  • Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper 2011/5. (en)
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  • RIV/00020699:_____/11:#0000594!RIV12-MZP-00020699
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  • RIV/00020699:_____/11:#0000594
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  • air quality; PM2.5; mapping; linear regression; kriging (en)
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  • Denby, Bruce
  • Horálek, Jan
  • de Leeuw, Frank
  • de Smet, Peter
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