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Population Exposure to Ambient PM(2.5) at the Subdistrict Level in China

Fine-particulate pollution is a major public health concern in China. Accurate assessment of the population exposed to PM(2.5) requires high-resolution pollution and population information. This paper assesses China’s potential population exposure to PM(2.5), maps its spatiotemporal variability, and...

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Detalles Bibliográficos
Autores principales: Long, Ying, Wang, Jianghao, Wu, Kang, Zhang, Junjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313548/
https://www.ncbi.nlm.nih.gov/pubmed/30487428
http://dx.doi.org/10.3390/ijerph15122683
Descripción
Sumario:Fine-particulate pollution is a major public health concern in China. Accurate assessment of the population exposed to PM(2.5) requires high-resolution pollution and population information. This paper assesses China’s potential population exposure to PM(2.5), maps its spatiotemporal variability, and simulates the effects of the recent air pollution control policy. We relate satellite-based Aerosol Optical Depth (AOD) retrievals to ground-based PM(2.5) observations. We employ block cokriging (BCK) to improve the spatial interpolation of PM(2.5) distribution. We use the subdistrict level population data to estimate and map the potential population exposure to PM(2.5) pollution in China at the subdistrict level, the smallest administrative unit with public demographic information. During 8 April 2013 and 7 April 2014, China’s population-weighted annual average PM(2.5) concentration was nearly 7 times the annual average level suggested by the World Health Organization (WHO). About 1322 million people, or 98.6% of the total population, were exposed to PM(2.5) at levels above WHO’s daily guideline for longer than half a year. If China can achieve its Action Plan on Prevention and Control of Air Pollution targets by 2017, the population exposed to PM(2.5) above China’s daily standard for longer than half a year will be reduced by 85%.