Literature DB >> 28119005

Estimating the contribution of regional transport to PM2.5 air pollution in a rural area on the North China Plain.

Dongsheng Chen1, Xiangxue Liu2, Jianlei Lang3, Ying Zhou2, Lin Wei2, Xiaotong Wang2, Xiurui Guo2.   

Abstract

PM2.5 air pollution in metropolises as well as some medium-sized cities in the North China Plain have aroused many researchers' interest, but less attention has been paid to the rural areas of this region. In this study, four months of daily PM2.5 samples were collected from a rural site in Lingcheng (a district of Dezhou City in Shandong Province) during different seasons in 2013 and 2014. Analysis of the samples indicates that the PM2.5 air pollution was severe over this area with the four-month average concentration of 105.9μg/m3, three times higher than China's guideline for this pollutant (35μg/m3). In winter, the monthly average concentration was as high as 151.2μg/m3. In order to identify the potential source regions, the Integrated Source Apportionment Method within Community Multiscale Air Quality model (CMAQ-ISAM) was applied during the wintertime. The regional source apportionment results show that local emissions in Lingcheng only contributed 15.4% to PM2.5 concentrations, with 12.6% and 28.1% from its circumjacent areas in Dezhou City and the six surrounding cities, respectively. Regional transport from areas farther away and the boundaries account for 31.6% and 11.1%, respectively. This indicates that the ambient PM2.5 at Lingcheng is not affected only by emissions from local and circumjacent areas; regional and long-range transport should also be considered. Further analysis indicated that with increasing degrees of pollution, the contributions from local and circumjacent regions showed a clear downward trend, while the contributions from northern and southwestern areas, which most of the trajectories passed through during periods of heavy haze, showed an obvious upward trend.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CMAQ-ISAM; PM(2.5); Regional transport; Source apportionment

Year:  2017        PMID: 28119005     DOI: 10.1016/j.scitotenv.2017.01.066

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


  6 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2018-10-29       Impact factor: 4.223

2.  Higher-order Network Analysis of Fine Particulate Matter (PM 2.5) Transport in China at City Level.

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Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

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Journal:  PLoS One       Date:  2018-06-06       Impact factor: 3.240

4.  Air Pollutant Concentration Forecasting Using Long Short-Term Memory Based on Wavelet Transform and Information Gain: A Case Study of Beijing.

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Journal:  Comput Intell Neurosci       Date:  2020-09-30

5.  Exposure and Inequality of PM2.5 Pollution to Chinese Population: A Case Study of 31 Provincial Capital Cities from 2000 to 2016.

Authors:  Peiyue Tu; Ya Tian; Yujia Hong; Lu Yang; Jiayi Huang; Haoran Zhang; Xin Mei; Yanhua Zhuang; Xin Zou; Chao He
Journal:  Int J Environ Res Public Health       Date:  2022-09-25       Impact factor: 4.614

6.  Does lockdown reduce air pollution? Evidence from 44 cities in northern China.

Authors:  Rui Bao; Acheng Zhang
Journal:  Sci Total Environ       Date:  2020-04-29       Impact factor: 7.963

  6 in total

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