Estimation of citywide air pollution in Beijing.

There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents' perceptions of air quality. This study estimates Beijing's daily area PM(2.5) mass concentration by means of...

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Autores principales:	Jin-Feng Wang, Mao-Gui Hu, Cheng-Dong Xu, George Christakos, Yu Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7d2898bc3d6e4ccebb94acee4c789c1f
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spelling	oai:doaj.org-article:7d2898bc3d6e4ccebb94acee4c789c1f2021-11-18T08:02:19ZEstimation of citywide air pollution in Beijing.1932-620310.1371/journal.pone.0053400https://doaj.org/article/7d2898bc3d6e4ccebb94acee4c789c1f2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23320082/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents' perceptions of air quality. This study estimates Beijing's daily area PM(2.5) mass concentration by means of a novel technique SPA (Single Point Areal Estimation) that uses data from the single PM(2.5) observation station of the U.S Embassy and the 18 PM(10) observation stations of the Beijing Municipal Environmental Protection Bureau. The proposed technique accounts for empirical relationships between different types of observations, and generates best linear unbiased pollution estimates (in a statistical sense). The technique extends the daily PM(2.5) mass concentrations obtained at a single station (U.S. Embassy) to a citywide scale using physical relations between pollutant concentrations at the embassy PM(2.5) monitoring station and at the 18 official PM(10) stations that are evenly distributed across the city. Insight about the technique's spatial estimation accuracy (uncertainty) is gained by means of theoretical considerations and numerical validations involving real data. The technique was used to study citywide PM(2.5) pollution during the 423-day period of interest (May 10, 2010 to December 6, 2011). Finally, a freely downloadable software library is provided that performs all relevant calculations of pollution estimation.Jin-Feng WangMao-Gui HuCheng-Dong XuGeorge ChristakosYu ZhaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 1, p e53400 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jin-Feng Wang Mao-Gui Hu Cheng-Dong Xu George Christakos Yu Zhao Estimation of citywide air pollution in Beijing.
description	There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents' perceptions of air quality. This study estimates Beijing's daily area PM(2.5) mass concentration by means of a novel technique SPA (Single Point Areal Estimation) that uses data from the single PM(2.5) observation station of the U.S Embassy and the 18 PM(10) observation stations of the Beijing Municipal Environmental Protection Bureau. The proposed technique accounts for empirical relationships between different types of observations, and generates best linear unbiased pollution estimates (in a statistical sense). The technique extends the daily PM(2.5) mass concentrations obtained at a single station (U.S. Embassy) to a citywide scale using physical relations between pollutant concentrations at the embassy PM(2.5) monitoring station and at the 18 official PM(10) stations that are evenly distributed across the city. Insight about the technique's spatial estimation accuracy (uncertainty) is gained by means of theoretical considerations and numerical validations involving real data. The technique was used to study citywide PM(2.5) pollution during the 423-day period of interest (May 10, 2010 to December 6, 2011). Finally, a freely downloadable software library is provided that performs all relevant calculations of pollution estimation.
format	article
author	Jin-Feng Wang Mao-Gui Hu Cheng-Dong Xu George Christakos Yu Zhao
author_facet	Jin-Feng Wang Mao-Gui Hu Cheng-Dong Xu George Christakos Yu Zhao
author_sort	Jin-Feng Wang
title	Estimation of citywide air pollution in Beijing.
title_short	Estimation of citywide air pollution in Beijing.
title_full	Estimation of citywide air pollution in Beijing.
title_fullStr	Estimation of citywide air pollution in Beijing.
title_full_unstemmed	Estimation of citywide air pollution in Beijing.
title_sort	estimation of citywide air pollution in beijing.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/7d2898bc3d6e4ccebb94acee4c789c1f
work_keys_str_mv	AT jinfengwang estimationofcitywideairpollutioninbeijing AT maoguihu estimationofcitywideairpollutioninbeijing AT chengdongxu estimationofcitywideairpollutioninbeijing AT georgechristakos estimationofcitywideairpollutioninbeijing AT yuzhao estimationofcitywideairpollutioninbeijing
_version_	1718422610891505664

Estimation of citywide air pollution in Beijing.

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