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

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 pollution control strategies. We simulated and predicte...

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Detalles Bibliográficos
Autores principales: Zhang, Ping, Hong, Bo, He, Liang, Cheng, Fei, Zhao, Peng, Wei, Cailiang, Liu, Yunhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626962/
https://www.ncbi.nlm.nih.gov/pubmed/26426030
http://dx.doi.org/10.3390/ijerph121012171

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626962/
https://www.ncbi.nlm.nih.gov/pubmed/26426030
http://dx.doi.org/10.3390/ijerph121012171

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