Literature DB >> 29156439

Air pollution over the North China Plain and its implication of regional transport: A new sight from the observed evidences.

Baozhu Ge1, Zifa Wang2, Weili Lin3, Xiaobin Xu4, Jie Li1, Dongshen Ji1, Zhiqiang Ma5.   

Abstract

High concentrations of the fine particles (PM2.5) are frequently observed during all seasons over the North China Plain (NCP) region in recent years. In NCP, the contributions of regional transports to certain area, e.g. Beijing city, are often discussed and estimated by models when considering an effective air pollution controlling strategy. In this study, we selected three sites from southwest to northeast in NCP, in which the concentrations of air pollutants displayed a multi-step decreasing trend in space. An approach based on the measurement results at these sites has been developed to calculate the relative contributions of the minimal local emission (MinLEC) and the maximum regional transport (MaxRTC) to the air pollutants (e.g., SO2, NO2, CO, PM2.5) in Beijing. The minimal influence of local emission is estimated by the difference of the air pollutants' concentrations between urban and rural areas under the assumption of a similar influence of regional transport. Therefore, it's convenient to estimate the contributions of local emission from regional transport based on the selective measurement results instead of the complex numerical model simulation. For the whole year of 2013, the averaged contributions of MinLEC (MaxRTC) for NO2, SO2, PM2.5 and CO are 61.7% (30.7%), 46.6% (48%), 52.1% (40.2%) and 35.8% (45.5%), respectively. The diurnal variation of MaxRTC for SO2, PM2.5 and CO shows an increased pattern during the afternoon and reached a peak (more than 50%) around 18:00, which indicates that the regional transport is the important role for the daytime air pollution in Beijing.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Contribution; Field measurement; Local emission; NCP; Regional transport

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Year:  2017        PMID: 29156439     DOI: 10.1016/j.envpol.2017.10.084

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  3 in total

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Authors:  Honglei Wang; Qing Miao; Lijuan Shen; Qian Yang; Yezheng Wu; Heng Wei; Yan Yin; Tianliang Zhao; Bin Zhu; Wen Lu
Journal:  J Environ Sci (China)       Date:  2020-09-22       Impact factor: 5.565

2.  Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain.

Authors:  Zhen Li; Shaocai Yu; Mengying Li; Xue Chen; Yibo Zhang; Jiali Li; Yapping Jiang; Weiping Liu; Pengfei Li; Eric Lichtfouse
Journal:  Environ Chem Lett       Date:  2021-10-30       Impact factor: 13.615

3.  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

  3 in total

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