Literature DB >> 31743806

Exploring the regional pollution characteristics and meteorological formation mechanism of PM2.5 in North China during 2013-2017.

Mingge Li1, Lili Wang2, Jingda Liu3, Wenkang Gao4, Tao Song4, Yang Sun4, Liang Li5, Xingru Li6, Yonghong Wang7, Lili Liu8, Kaspar R Daellenbach7, Pauli J Paasonen7, Veli-Matti Kerminen7, Markku Kulmala9, Yuesi Wang10.   

Abstract

In the last decade, North China (NC) has been one of the most populated and polluted regions in the world. The regional air pollution has had a serious impact on people's health; thus, all levels of government have implemented various pollution prevention measures since 2013. Based on multi-city in situ environmental and meteorological data, as well as the meteorological reanalysis dataset from 2013 to 2017, regional pollution characteristics and meteorological formation mechanisms were analyzed to provide a more comprehensive understanding of the evolution of PM2.5 in NC. The domain-averaged PM2.5 was 79 ± 17 µg m-3 from 2013 to 2017, with a decreasing rate of 10 μg m-3 yr-1. Two automatic computer algorithms were established to identify 6 daily regional pollution types (DRPTs) and 48 persistent regional pollution events (PRPEs) over NC during 2014-2017. The average PM2.5 concentration for the Large-Region-Pollution type (including the Large-Moderate-Region-Pollution and Large-Severe-Region-Pollution types) was 113 ± 40 µg m-3, and more than half of Large-Region-Pollution days and PRPEs occurred in winter. The PRPEs in NC mainly developed from the area south of Hebei. The number of Large-Region-Pollution days decreased notably from 2014 to 2017, the annual number of days varying between 194 and 97 days, whereas a slight decline was observed in winter. In addition, the averaged PM2.5 concentrations and the numbers and durations of the PRPEs decreased. Lamb-Jenkinson weather typing was used to reveal the impact of synoptic circulations on PM2.5 across NC. Generally, the contributions of the variations in circulation to the reduction in PM2.5 levels over NC between 2013 and 2017 were 64% and 45% in summer and winter, respectively. The three most highly polluted weather types were types C, S and E, with an average PM2.5 concentration of 137 ± 40 µg m-3 in winter. Furthermore, three typical circulation dynamics were categorized in the peak stage of the PRPEs, namely, the southerly airflow pattern, the northerly airflow pattern and anticyclone pattern; the averaged relative humidity, recirculation index, wind speed and boundary layer height were 63%, 0.33, 2.0 m s-1 and 493 m, respectively. Our results imply that additional emission reduction measures should be implemented under unfavorable meteorological situations to attain ambient air quality standards in the future.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Identification of regional pollution type; Meteorological formation mechanism; North China; PM(2.5); Regional pollution events

Year:  2019        PMID: 31743806     DOI: 10.1016/j.envint.2019.105283

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  5 in total

Review 1.  Key Points in Air Pollution Meteorology.

Authors:  Isidro A Pérez; Mª Ángeles García; Mª Luisa Sánchez; Nuria Pardo; Beatriz Fernández-Duque
Journal:  Int J Environ Res Public Health       Date:  2020-11-11       Impact factor: 3.390

2.  Spatiotemporal Distribution Characteristics and Driving Forces of PM2.5 in Three Urban Agglomerations of the Yangtze River Economic Belt.

Authors:  Jin-Wei Yan; Fei Tao; Shuai-Qian Zhang; Shuang Lin; Tong Zhou
Journal:  Int J Environ Res Public Health       Date:  2021-02-24       Impact factor: 3.390

3.  Satellite Observation of Spatio-temporal Variations in Nitrogen Dioxide over West Africa and Implications for Regional Air Quality.

Authors:  Ayodeji Oluleye
Journal:  J Health Pollut       Date:  2021-08-17

4.  Nonlinear influence of winter meteorology and precursor on PM2.5 based on mathematical and numerical models: A COVID-19 and Winter Olympics case study.

Authors:  Wang Xiaoqi; Duan Wenjiao; Zhu Jiaxian; Wei Wei; Cheng Shuiyuan; Mao Shushuai
Journal:  Atmos Environ (1994)       Date:  2022-03-23       Impact factor: 5.755

5.  Changes in Air Quality and Drivers for the Heavy PM2.5 Pollution on the North China Plain Pre- to Post-COVID-19.

Authors:  Shuang Liu; Xingchuan Yang; Fuzhou Duan; Wenji Zhao
Journal:  Int J Environ Res Public Health       Date:  2022-10-08       Impact factor: 4.614

  5 in total

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