Temporal and Spatial Simulation of Atmospheric Pollutant PM2.5 Changes and Risk Assessment of Population Exposure to Pollution Using Optimization Algorithms of the Back Propagation-Artificial Neural Network Model and GIS

Autor: Cailiang Wei, Fei Cheng, Peng Zhao, Liang He, Yunhui Liu, Bo Hong, Ping Zhang

Publikováno v: International Journal of Environmental Research and Public Health, Vol 12, Iss 10, Pp 12171-12195 (2015)
International Journal of Environmental Research and Public Health
Volume 12
Issue 10
Pages 12171-12195

PM2.5 pollution has become of increasing public concern because of its relative importance and sensitivity to population health risks. Accurate predictions of PM2.5 pollution and population exposure risks are crucial to developing effective air pollu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b92436f5efe7ae42ea18121672f5a66
https://doi.org/10.3390/ijerph121012171