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Maximizing The Spatial Representativeness Of No2 Monitoring Data Using A Combination Of Local Wind-Based Sectoral Division And Seasonal And Diurnal Correction Factors, Aoife Donnelly, Owen Naughton, Bruce Misstear, Brian Broderick
Maximizing The Spatial Representativeness Of No2 Monitoring Data Using A Combination Of Local Wind-Based Sectoral Division And Seasonal And Diurnal Correction Factors, Aoife Donnelly, Owen Naughton, Bruce Misstear, Brian Broderick
Articles
This article describes a new methodology for increasing the spatial representativeness of individual monitoring sites. Air pollution levels at a given point are influenced by emission sources in the immediate vicinity. Since emission sources are rarely uniformly distributed around a site, concentration levels will inevitably be most affected by the sources in the prevailing upwind direction. The methodology provides a means of capturing this effect and providing additional information regarding source/pollution relationships. The methodology allows for the division of the air quality data from a given monitoring site into a number of sectors or wedges based on wind direction and …