The relationship between traffic emissions and mobile-source air pollutant concentrations is highly variable over space and time and therefore difficult to model accurately, especially in urban settings with complex terrain. Regression-based approaches using continuous real-time mobile measurements may be able to characterize spatiotemporal variability in traffic-related pollutant concentrations but require methods to incorporate temporally varying meteorology and source strength in a physically interpretable fashion.
Links:
[1] http://admin.indiaenvironmentportal.org.in/feature-article/modeling-spatial-patterns-traffic-related-air-pollutants-complex-urban-terrain
[2] http://admin.indiaenvironmentportal.org.in/category/author/leonard-m-zwack
[3] http://admin.indiaenvironmentportal.org.in/category/author/christopher-j-paciorek
[4] http://admin.indiaenvironmentportal.org.in/category/author/john-d-spengler-et-al
[5] http://admin.indiaenvironmentportal.org.in/category/journal/environmental-health-perspectives
[6] http://admin.indiaenvironmentportal.org.in/category/thesaurus/air-pollution
[7] http://admin.indiaenvironmentportal.org.in/category/thesaurus/vehicular-pollution
[8] http://admin.indiaenvironmentportal.org.in/category/thesaurus/new-york
[9] http://admin.indiaenvironmentportal.org.in/category/thesaurus/united-states-america-us
[10] http://admin.indiaenvironmentportal.org.in/category/thesaurus/urban-air-quality
[11] http://admin.indiaenvironmentportal.org.in/category/thesaurus/pm-25