Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index
<p>A framework was developed to quantitatively assess the contribution of meteorology variations to the trend of fine particular matter (PM<span class="inline-formula"><sub>2.5</sub></span>) concentrations and to separate the impacts of meteorology from the co...
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doaj-4ddef3155bc84082898fc41bd4b089b52021-03-01T09:00:42ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-03-01212999301310.5194/acp-21-2999-2021Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology indexS. Gong0H. Liu1B. Zhang2J. He3H. Zhang4Y. Wang5S. Wang6L. Zhang7J. Wang8State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaNational Meteorological Center, Beijing 100081, ChinaState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaNational Meteorological Center, Beijing 100081, ChinaState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaSchool of Environment and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaHangzhou YiZhang Technology Co., Ltd., Hangzhou, China<p>A framework was developed to quantitatively assess the contribution of meteorology variations to the trend of fine particular matter (PM<span class="inline-formula"><sub>2.5</sub></span>) concentrations and to separate the impacts of meteorology from the control measures in the trend, based upon the Environmental Meteorology Index (EMI). The model-based EMI realistically reflects the role of meteorology in the trend of PM<span class="inline-formula"><sub>2.5</sub></span> and is explicitly attributed to three major factors: deposition, vertical accumulation and horizontal transports. Based on the 2013–2019 PM<span class="inline-formula"><sub>2.5</sub></span> observation data and re-analysis meteorological data in China, the contributions of meteorology and control measures in nine regions of China were assessed separately by the EMI-based framework. Monitoring network observations show that the PM<span class="inline-formula"><sub>2.5</sub></span> concentrations have declined by about 50 % on the national average and by about 35 % to 53 % for various regions. It is found that the nationwide emission control measures were the dominant factor in the declining trend of China PM<span class="inline-formula"><sub>2.5</sub></span> concentrations, contributing about 47 % of the PM<span class="inline-formula"><sub>2.5</sub></span> decrease from 2013 to 2019 on the national average and 32 % to 52 % for various regions. The meteorology has a variable and sometimes critical contribution to the year-by-year variations of PM<span class="inline-formula"><sub>2.5</sub></span> concentrations, 5 % on the annual average and 10 %–20 % for the fall–winter heavy pollution seasons.</p>https://acp.copernicus.org/articles/21/2999/2021/acp-21-2999-2021.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. Gong H. Liu B. Zhang J. He H. Zhang Y. Wang S. Wang L. Zhang J. Wang |
spellingShingle |
S. Gong H. Liu B. Zhang J. He H. Zhang Y. Wang S. Wang L. Zhang J. Wang Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index Atmospheric Chemistry and Physics |
author_facet |
S. Gong H. Liu B. Zhang J. He H. Zhang Y. Wang S. Wang L. Zhang J. Wang |
author_sort |
S. Gong |
title |
Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index |
title_short |
Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index |
title_full |
Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index |
title_fullStr |
Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index |
title_full_unstemmed |
Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index |
title_sort |
assessment of meteorology vs. control measures in the china fine particular matter trend from 2013 to 2019 by an environmental meteorology index |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2021-03-01 |
description |
<p>A framework was developed to quantitatively assess the contribution of
meteorology variations to the trend of fine particular matter (PM<span class="inline-formula"><sub>2.5</sub></span>)
concentrations and to separate the impacts of meteorology from the control
measures in the trend, based upon the Environmental Meteorology Index (EMI). The model-based EMI realistically reflects the role of meteorology in the trend of PM<span class="inline-formula"><sub>2.5</sub></span> and is explicitly attributed to three major factors: deposition, vertical accumulation and horizontal transports. Based
on the 2013–2019 PM<span class="inline-formula"><sub>2.5</sub></span> observation data and re-analysis meteorological
data in China, the contributions of meteorology and control measures in nine
regions of China were assessed separately by the EMI-based framework.
Monitoring network observations show that the PM<span class="inline-formula"><sub>2.5</sub></span> concentrations have
declined by about 50 % on the national average and by about 35 % to 53 % for various regions. It is found that the nationwide emission control
measures were the dominant factor in the declining trend of China PM<span class="inline-formula"><sub>2.5</sub></span>
concentrations, contributing about 47 % of the PM<span class="inline-formula"><sub>2.5</sub></span> decrease from 2013 to 2019 on the national average and 32 % to 52 % for
various regions. The meteorology has a variable and sometimes critical
contribution to the year-by-year variations of PM<span class="inline-formula"><sub>2.5</sub></span> concentrations,
5 % on the annual average and 10 %–20 % for the fall–winter heavy pollution seasons.</p> |
url |
https://acp.copernicus.org/articles/21/2999/2021/acp-21-2999-2021.pdf |
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