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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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 |
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author | Long, Ying Wang, Jianghao Wu, Kang Zhang, Junjie |
author_facet | Long, Ying Wang, Jianghao Wu, Kang Zhang, Junjie |
author_sort | Long, Ying |
collection | PubMed |
description | 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%. |
format | Online Article Text |
id | pubmed-6313548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63135482019-06-17 Population Exposure to Ambient PM(2.5) at the Subdistrict Level in China Long, Ying Wang, Jianghao Wu, Kang Zhang, Junjie Int J Environ Res Public Health Article 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%. MDPI 2018-11-28 2018-12 /pmc/articles/PMC6313548/ /pubmed/30487428 http://dx.doi.org/10.3390/ijerph15122683 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Long, Ying Wang, Jianghao Wu, Kang Zhang, Junjie Population Exposure to Ambient PM(2.5) at the Subdistrict Level in China |
title | Population Exposure to Ambient PM(2.5) at the Subdistrict Level in China |
title_full | Population Exposure to Ambient PM(2.5) at the Subdistrict Level in China |
title_fullStr | Population Exposure to Ambient PM(2.5) at the Subdistrict Level in China |
title_full_unstemmed | Population Exposure to Ambient PM(2.5) at the Subdistrict Level in China |
title_short | Population Exposure to Ambient PM(2.5) at the Subdistrict Level in China |
title_sort | population exposure to ambient pm(2.5) at the subdistrict level in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313548/ https://www.ncbi.nlm.nih.gov/pubmed/30487428 http://dx.doi.org/10.3390/ijerph15122683 |
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