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Research Articles
Estimating Receptor Sensitivity to Spatial Proximity of Emissions Sources Vladimir Reshetin; James Regens Corresponding author:: James L. Regens, Institute for Science and Public Policy, University of Oklahoma, 100 East Boyd SEC 510, Norman, OK 73019-1006, USA (regens@ou.edu)
DOI: http://dx.doi.org/10.1065/espr2002.08.128
--- 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. | | Keywords: air pollution; emissions sources; health risk; modeling receptor sensitivity |
9 ESPR (6) 392-396 (2002)
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