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Enhanced PM(2.5) pollution in China due to aerosol-cloud interactions

Aerosol-cloud interactions (aerosol indirect effects) play an important role in regional meteorological variations, which could further induce feedback on regional air quality. While the impact of aerosol-cloud interactions on meteorology and climate has been extensively studied, their feedback on a...

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Autores principales: Zhao, Bin, Liou, Kuo-Nan, Gu, Yu, Li, Qinbin, Jiang, Jonathan H., Su, Hui, He, Cenlin, Tseng, Hsien-Liang R., Wang, Shuxiao, Liu, Run, Qi, Ling, Lee, Wei-Liang, Hao, Jiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493654/
https://www.ncbi.nlm.nih.gov/pubmed/28667308
http://dx.doi.org/10.1038/s41598-017-04096-8
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author Zhao, Bin
Liou, Kuo-Nan
Gu, Yu
Li, Qinbin
Jiang, Jonathan H.
Su, Hui
He, Cenlin
Tseng, Hsien-Liang R.
Wang, Shuxiao
Liu, Run
Qi, Ling
Lee, Wei-Liang
Hao, Jiming
author_facet Zhao, Bin
Liou, Kuo-Nan
Gu, Yu
Li, Qinbin
Jiang, Jonathan H.
Su, Hui
He, Cenlin
Tseng, Hsien-Liang R.
Wang, Shuxiao
Liu, Run
Qi, Ling
Lee, Wei-Liang
Hao, Jiming
author_sort Zhao, Bin
collection PubMed
description Aerosol-cloud interactions (aerosol indirect effects) play an important role in regional meteorological variations, which could further induce feedback on regional air quality. While the impact of aerosol-cloud interactions on meteorology and climate has been extensively studied, their feedback on air quality remains unclear. Using a fully coupled meteorology-chemistry model, we find that increased aerosol loading due to anthropogenic activities in China substantially increases column cloud droplet number concentration and liquid water path (LWP), which further leads to a reduction in the downward shortwave radiation at surface, surface air temperature and planetary boundary layer (PBL) height. The shallower PBL and accelerated cloud chemistry due to larger LWP in turn enhance the concentrations of particulate matter with diameter less than 2.5 μm (PM(2.5)) by up to 33.2 μg m(−3) (25.1%) and 11.0 μg m(−3) (12.5%) in January and July, respectively. Such a positive feedback amplifies the changes in PM(2.5) concentrations, indicating an additional air quality benefit under effective pollution control policies but a penalty for a region with a deterioration in PM(2.5) pollution. Additionally, we show that the cloud processing of aerosols, including wet scavenging and cloud chemistry, could also have substantial effects on PM(2.5) concentrations.
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spelling pubmed-54936542017-07-05 Enhanced PM(2.5) pollution in China due to aerosol-cloud interactions Zhao, Bin Liou, Kuo-Nan Gu, Yu Li, Qinbin Jiang, Jonathan H. Su, Hui He, Cenlin Tseng, Hsien-Liang R. Wang, Shuxiao Liu, Run Qi, Ling Lee, Wei-Liang Hao, Jiming Sci Rep Article Aerosol-cloud interactions (aerosol indirect effects) play an important role in regional meteorological variations, which could further induce feedback on regional air quality. While the impact of aerosol-cloud interactions on meteorology and climate has been extensively studied, their feedback on air quality remains unclear. Using a fully coupled meteorology-chemistry model, we find that increased aerosol loading due to anthropogenic activities in China substantially increases column cloud droplet number concentration and liquid water path (LWP), which further leads to a reduction in the downward shortwave radiation at surface, surface air temperature and planetary boundary layer (PBL) height. The shallower PBL and accelerated cloud chemistry due to larger LWP in turn enhance the concentrations of particulate matter with diameter less than 2.5 μm (PM(2.5)) by up to 33.2 μg m(−3) (25.1%) and 11.0 μg m(−3) (12.5%) in January and July, respectively. Such a positive feedback amplifies the changes in PM(2.5) concentrations, indicating an additional air quality benefit under effective pollution control policies but a penalty for a region with a deterioration in PM(2.5) pollution. Additionally, we show that the cloud processing of aerosols, including wet scavenging and cloud chemistry, could also have substantial effects on PM(2.5) concentrations. Nature Publishing Group UK 2017-06-30 /pmc/articles/PMC5493654/ /pubmed/28667308 http://dx.doi.org/10.1038/s41598-017-04096-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhao, Bin
Liou, Kuo-Nan
Gu, Yu
Li, Qinbin
Jiang, Jonathan H.
Su, Hui
He, Cenlin
Tseng, Hsien-Liang R.
Wang, Shuxiao
Liu, Run
Qi, Ling
Lee, Wei-Liang
Hao, Jiming
Enhanced PM(2.5) pollution in China due to aerosol-cloud interactions
title Enhanced PM(2.5) pollution in China due to aerosol-cloud interactions
title_full Enhanced PM(2.5) pollution in China due to aerosol-cloud interactions
title_fullStr Enhanced PM(2.5) pollution in China due to aerosol-cloud interactions
title_full_unstemmed Enhanced PM(2.5) pollution in China due to aerosol-cloud interactions
title_short Enhanced PM(2.5) pollution in China due to aerosol-cloud interactions
title_sort enhanced pm(2.5) pollution in china due to aerosol-cloud interactions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493654/
https://www.ncbi.nlm.nih.gov/pubmed/28667308
http://dx.doi.org/10.1038/s41598-017-04096-8
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