Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – a case study from the Beijing-Tianjin-Hebei region

Yan, D., Lei, Y., Shi, Y. , Zhu, Q., Li, L. and Zhang, Z. (2018) Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – a case study from the Beijing-Tianjin-Hebei region. Atmospheric Environment, 183, pp. 225-233. (doi: 10.1016/j.atmosenv.2018.03.041)

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Abstract

Atmospheric haze pollution has become a global concern because of its severe effects on human health and the environment. The Beijing-Tianjin-Hebei urban agglomeration is located in northern China, and its haze is the most serious in China. The high concentration of PM2.5 is the main cause of haze pollution, and thus investigating the temporal and spatial characteristics of PM2.5 is important for understanding the mechanisms underlying PM2.5 pollution and for preventing haze. In this study, the PM2.5 concentration status in 13 cities from the Beijing-Tianjin-Hebei region was statistically analyzed from January 2016 to November 2016, and the spatial variation of PM2.5 was explored via spatial autocorrelation analysis. The research yielded three overall results. (1) The distribution of PM2.5 concentrations in this area varied greatly during the study period. The concentrations increased from late autumn to early winter, and the spatial range expanded from southeast to northwest. In contrast, the PM2.5 concentration decreased rapidly from late winter to early spring, and the spatial range narrowed from northwest to southeast. (2) The spatial dependence degree, by season from high to low, was in the order winter, autumn, spring, summer. Winter (from December to February of the subsequent year) and summer (from June to August) were, respectively, the highest and lowest seasons with regard to the spatial homogeneity of PM2.5 concentrations. (3) The PM2.5 concentration in the Beijing-Tianjin-Hebei region has significant spatial spillovers. Overall, cities far from Bohai Bay, such as Shijiazhuang and Hengshui, demonstrated a high-high concentration of PM2.5 pollution, while coastal cities, such as Chengde and Qinhuangdao, showed a low-low concentration.

Item Type:Articles
Additional Information:The authors express their sincere thanks for the support from theNational Natural Science Foundation of China under Grant No.71173200, the Development and Research Center of China GeologicalSurvey under Grant No. 12120114056601 and No. 12120113093200,the National Science and Technology Major Project under Grant No.2016ZX05016005-003 and the Fundamental Research Funds for theCentral Universities under Grant No. 53200859633
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Shi, Dr Yukun
Authors: Yan, D., Lei, Y., Shi, Y., Zhu, Q., Li, L., and Zhang, Z.
College/School:College of Social Sciences > Adam Smith Business School > Accounting and Finance
Journal Name:Atmospheric Environment
Publisher:Elsevier
ISSN:1352-2310
ISSN (Online):1352-2310
Published Online:21 March 2018
Copyright Holders:Copyright © 2018 Elsevier
First Published:First published in Atmospheric Environment 183:225-233
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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