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Long-Term Trends in Visibility and at Chengdu, China

Long-term (1973 to 2010) trends in visibility at Chengdu, China were investigated using meteorological data from the U.S. National Climatic Data Center. The visual range exhibited a declining trend before 1982, a slight increase between 1983 and 1995, a sharp decrease between 1996 and 2005, and some...

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Autores principales: Wang, Qiyuan, Cao, Junji, Tao, Jun, Li, Nan, Su, Xiaoli, Chen, L. W. Antony, Wang, Ping, Shen, Zhenxing, Liu, Suixin, Dai, Wenting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715545/
https://www.ncbi.nlm.nih.gov/pubmed/23874802
http://dx.doi.org/10.1371/journal.pone.0068894
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author Wang, Qiyuan
Cao, Junji
Tao, Jun
Li, Nan
Su, Xiaoli
Chen, L. W. Antony
Wang, Ping
Shen, Zhenxing
Liu, Suixin
Dai, Wenting
author_facet Wang, Qiyuan
Cao, Junji
Tao, Jun
Li, Nan
Su, Xiaoli
Chen, L. W. Antony
Wang, Ping
Shen, Zhenxing
Liu, Suixin
Dai, Wenting
author_sort Wang, Qiyuan
collection PubMed
description Long-term (1973 to 2010) trends in visibility at Chengdu, China were investigated using meteorological data from the U.S. National Climatic Data Center. The visual range exhibited a declining trend before 1982, a slight increase between 1983 and 1995, a sharp decrease between 1996 and 2005, and some improvements after 2006. The trends in visibility were generally consistent with the economic development and implementation of pollution controls in China. Intensive PM(2.5) measurements were conducted from 2009 to 2010 to determine the causes of visibility degradation. An analysis based on a modification of the IMPROVE approach indicated that PM(2.5) ammonium bisulfate contributed 27.7% to the light extinction coefficient (b(ext)); this was followed by organic mass (21.7%), moisture (20.6%), and ammonium nitrate (16.3%). Contributions from elemental carbon (9.4%) and soil dust (4.3%) were relatively minor. Anthropogenic aerosol components (sulfate, nitrate, and elemental carbon) and moisture at the surface also were important determinants of the aerosol optical depth (AOD) at 550 nm, and the spatial distributions of both b(ext) and AOD were strongly affected by regional topography. A Positive Matrix Factorization receptor model suggested that coal combustion was the largest contributor to PM(2.5) mass (42.3%) and the dry-air light-scattering coefficient (47.7%); this was followed by vehicular emissions (23.4% and 20.5%, respectively), industrial emissions (14.9% and 18.8%), biomass burning (12.8% and 11.9%), and fugitive dust (6.6% and 1.1%). Our observations provide a scientific basis for improving visibility in this area.
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spelling pubmed-37155452013-07-19 Long-Term Trends in Visibility and at Chengdu, China Wang, Qiyuan Cao, Junji Tao, Jun Li, Nan Su, Xiaoli Chen, L. W. Antony Wang, Ping Shen, Zhenxing Liu, Suixin Dai, Wenting PLoS One Research Article Long-term (1973 to 2010) trends in visibility at Chengdu, China were investigated using meteorological data from the U.S. National Climatic Data Center. The visual range exhibited a declining trend before 1982, a slight increase between 1983 and 1995, a sharp decrease between 1996 and 2005, and some improvements after 2006. The trends in visibility were generally consistent with the economic development and implementation of pollution controls in China. Intensive PM(2.5) measurements were conducted from 2009 to 2010 to determine the causes of visibility degradation. An analysis based on a modification of the IMPROVE approach indicated that PM(2.5) ammonium bisulfate contributed 27.7% to the light extinction coefficient (b(ext)); this was followed by organic mass (21.7%), moisture (20.6%), and ammonium nitrate (16.3%). Contributions from elemental carbon (9.4%) and soil dust (4.3%) were relatively minor. Anthropogenic aerosol components (sulfate, nitrate, and elemental carbon) and moisture at the surface also were important determinants of the aerosol optical depth (AOD) at 550 nm, and the spatial distributions of both b(ext) and AOD were strongly affected by regional topography. A Positive Matrix Factorization receptor model suggested that coal combustion was the largest contributor to PM(2.5) mass (42.3%) and the dry-air light-scattering coefficient (47.7%); this was followed by vehicular emissions (23.4% and 20.5%, respectively), industrial emissions (14.9% and 18.8%), biomass burning (12.8% and 11.9%), and fugitive dust (6.6% and 1.1%). Our observations provide a scientific basis for improving visibility in this area. Public Library of Science 2013-07-18 /pmc/articles/PMC3715545/ /pubmed/23874802 http://dx.doi.org/10.1371/journal.pone.0068894 Text en © 2013 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Qiyuan
Cao, Junji
Tao, Jun
Li, Nan
Su, Xiaoli
Chen, L. W. Antony
Wang, Ping
Shen, Zhenxing
Liu, Suixin
Dai, Wenting
Long-Term Trends in Visibility and at Chengdu, China
title Long-Term Trends in Visibility and at Chengdu, China
title_full Long-Term Trends in Visibility and at Chengdu, China
title_fullStr Long-Term Trends in Visibility and at Chengdu, China
title_full_unstemmed Long-Term Trends in Visibility and at Chengdu, China
title_short Long-Term Trends in Visibility and at Chengdu, China
title_sort long-term trends in visibility and at chengdu, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715545/
https://www.ncbi.nlm.nih.gov/pubmed/23874802
http://dx.doi.org/10.1371/journal.pone.0068894
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