Literature DB >> 32721667

Air quality improvement in response to intensified control strategies in Beijing during 2013-2019.

Wenjun Li1, Longyi Shao2, Wenhua Wang1, Hong Li3, Xinming Wang4, Yaowei Li1, Weijun Li5, Tim Jones6, Daizhou Zhang7.   

Abstract

Beijing's air pollution has become of increasing concern in recent years. The central and municipal governments have issued a series of laws, regulations, and strategies to improve ambient air quality. The "Clean Air Action" issued in 2013 and the "Comprehensive Action" issued in 2017 largely addressed this concern. In this study, we assessed the effectiveness of the two action plans by environmental monitoring data and evaluated the influencing factors including meteorology, pollutant emissions, and energy structure. The spatial distributions of air pollutants were analyzed using the Kriging interpolation method. The Principal Component Analysis-Multiple Nonlinear Regression (PCA-MNLR) model was applied to estimate the effects of meteorological factors. The results have shown that Beijing's air quality had a measurable improvement over 2013-2019. "Good air quality" days had the highest increases, and "hazardous air quality" days had the most decreases. SO2 decreased most, followed by CO, PM2.5, PM10, and NO2 in descending order, but O3 showed a fluctuant increase. The "Comprehensive Action" was more effective than the "Clean Air Action" in reducing heavy pollution days during the heating period. The meteorological normalized values of the main pollutants were lower than the observation data during 2013-2016. However, the observed values became lower than the normalized values after 2017, which indicated beneficial weather conditions in 2017 and afterwards. The emissions of SO2 and dust significantly decreased while NOx had a slight decrease, and the energy structure changed with a dramatic decrease in coal consumption and an obvious increase in the use of natural gas and electricity. The significant reduction of coal-fired emissions played a dominant role in improving Beijing's air quality, and vehicle emission control should be further enhanced. The results demonstrated the effectiveness of the two action plans and the experience in Beijing should have potential implications for other areas and nations suffering from severe air pollution. Crown
Copyright © 2020. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air quality; Beijing; Clean air action; Comprehensive action; Effectiveness evaluation; PCA-MNLR model

Year:  2020        PMID: 32721667     DOI: 10.1016/j.scitotenv.2020.140776

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


  8 in total

1.  High-Resolution Urban Air Quality Mapping for Multiple Pollutants Based on Dense Monitoring Data and Machine Learning.

Authors:  Rong Guo; Ying Qi; Bu Zhao; Ziyu Pei; Fei Wen; Shun Wu; Qiang Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

2.  Urban air pollution control policies and strategies: a systematic review.

Authors:  Ahmad Jonidi Jafari; Esmail Charkhloo; Hasan Pasalari
Journal:  J Environ Health Sci Eng       Date:  2021-10-08

3.  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

4.  Multiple relationships between aerosol and COVID-19: A framework for global studies.

Authors:  Yaxin Cao; Longyi Shao; Tim Jones; Marcos L S Oliveira; Shuoyi Ge; Xiaolei Feng; Luis F O Silva; Kelly BéruBé
Journal:  Gondwana Res       Date:  2021-02-09       Impact factor: 6.051

5.  Decomposing PM2.5 air pollution rebounds in Northern China before COVID-19.

Authors:  Changgui Dong; Jiaying Li; Ye Qi
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-06       Impact factor: 5.190

6.  Spatio-Temporal Characteristics of SO2 across Weifang from 2008 to 2020.

Authors:  Lining Zhu; Yu Zhang; Zheng Wu; Chengcheng Zhang
Journal:  Int J Environ Res Public Health       Date:  2021-11-20       Impact factor: 3.390

7.  An ambient air quality evaluation model based on improved evidence theory.

Authors:  Qiao Sun; Tong Zhang; Xinyang Wang; Weiwei Lin; Simon Fong; Zhibo Chen; Fu Xu; Ling Wu
Journal:  Sci Rep       Date:  2022-04-06       Impact factor: 4.379

8.  Disentangling drivers of air pollutant and health risk changes during the COVID-19 lockdown in China.

Authors:  Fuzhen Shen; Michaela I Hegglin; Yuanfei Luo; Yue Yuan; Bing Wang; Johannes Flemming; Junfeng Wang; Yunjiang Zhang; Mindong Chen; Qiang Yang; Xinlei Ge
Journal:  NPJ Clim Atmos Sci       Date:  2022-06-30
  8 in total

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