title: Estimating receptor sensitivity to spatial proximity of emissions sources.
abstract: Spatial proximity of emissions sources to receptors may affect sensitivity to potential adverse human health effects. This research investigates whether receptor sensitivity to the location of emission sources can be utilized efficiently to minimize health risk in selecting sites for industrial enterprises, thermal electric stations, etc. A sensitivity function that is independent of the location of pre-existing emission sources is derived and applied to Minsk, Belarus. The function estimates exposures based on weather and climatic conditions as well as the distribution of population density at a given locality. Arraying prospective sites based on their sensitivity function magnitude provides a technique for minimizing health risk based on receptor sensitivity to the spatial proximity of atmospheric emissions sources.
authors.affiliation: Radiation Physics and Chemistry Problems Institute, National Academy of Sciences of Belarus, Sosny-Minsk 220109, Belarus.
authors.forename: Vladimir P
authors.initials: VP
authors.lastname: Reshetin
authors.forename: James L
authors.initials: JL
authors.lastname: Regens
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D003198:Computer Simulation; D004781:Environmental Exposure / Q000009:adverse effects / Q000032:analysis*; D004784:Environmental Monitoring; D005843:Geography; D006801:Humans; D008956:Models, Chemical; D011156:Population Density; D011634:Public Health; D002094:Republic of Belarus; D012680:Sensitivity and Specificity; D014887:Weather
chemical_list: D000393:Air Pollutants