Literature DB >> 32036150

Evaluating the contributions of changed meteorological conditions and emission to substantial reductions of PM2.5 concentration from winter 2016 to 2017 in Central and Eastern China.

Wenjie Zhang1, Hong Wang2, Xiaoye Zhang3, Yue Peng1, Junting Zhong1, Yaqiang Wang1, Yifan Zhao1.   

Abstract

The monthly average PM2.5 concentration decreased from 127.15 μg m-3 in December 2016 to 85.54 μg m-3 in December 2017 (approximately 33%) in Central and Eastern China (33°N-41°N, 113°E-118°E). This decrease is attributed to the combined impacts of meteorology and emission sources changes, though the question of which is more important has raised great concerns. Four sensitivity experiments based on the Global-Regional Assimilation and Prediction System coupled with the Chinese Unified Atmospheric Chemistry Environment (GRAPES-CUACE) model, together with comparative analysis of the observed meteorological conditions and emission inventory between 2016 and 2017, are used to evaluate the relative contributions of meteorology and emission to the substantial reductions of PM2.5 concentration from December 2016 to December 2017. The results show that the meteorological conditions and emission in December 2017 were both beneficial to the PM2.5 decrease in Central and Eastern China. Regarding the entire region, 21.9% of the PM2.5 decrease was a result of the favorable meteorological conditions, and 78.1% of the decrease was a result of emission reductions, showing the distinct contributions of emission reductions on the air quality. The relative contributions of meteorology varied from 12.2% to 50.9% to the PM2.5 decrease from December 2016 to December 2017, while the emission contributed 49.1% to 87.8%, in different cities depending on geographical location and topography. Meteorology showed the largest contributions to the PM2.5 decrease from 2016 to 2017 in Beijing (BJ), which caused the greatest total decrease of PM2.5 compared to that of other cities. In addition, in Central and Eastern China, the dominant factors of the decrease of PM2.5 were favorable meteorological conditions (accounting for 98.2%) during clear periods and emission reductions (accounting for 72.5-81.2%) during pollution periods.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Central and Eastern China; Emission; GRAPES-CUACE model; Meteorological conditions; PM(2.5) concentration

Year:  2020        PMID: 32036150     DOI: 10.1016/j.scitotenv.2020.136892

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Haze Occurrence Caused by High Gas-to-Particle Conversion in Moisture Air under Low Pollutant Emission in a Megacity of China.

Authors:  Qingxia Ma; Weisi Wang; Dexin Liu; Rongke Zhao; Jingqi Zhao; Wanlong Li; Yanfang Pan; Daizhou Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-05-25       Impact factor: 4.614

2.  Observations on the particle pollution of the cities in China in the Coronavirus 2019 closure: Characteristics and lessons for environmental management.

Authors:  Hong Yao; Guangyuan Niu; Qingxiang Zhang; Qinyu Jiang; Wei Lu; Huan Liu; Tianhua Ni
Journal:  Integr Environ Assess Manag       Date:  2021-03-15       Impact factor: 3.084

3.  Association of population migration with air quality: Role of city attributes in China during COVID-19 pandemic (2019-2021).

Authors:  Keyu Luo; Zhenyu Wang; Jiansheng Wu
Journal:  Atmos Pollut Res       Date:  2022-04-18       Impact factor: 4.831

4.  A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations.

Authors:  Xiaowei Chuai; Yue Lu; Fangjian Xie; Feng Yang; Rongqin Zhao; Baoxin Pang
Journal:  J Environ Manage       Date:  2020-09-22       Impact factor: 6.789

  4 in total

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