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Spatial correlation effect of haze pollution in the Yangtze River Economic Belt, China

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  • Zihai Fang
  • Zuhan Liu
  • Yuanhao Hu

Abstract

With the rapid development of industry, haze pollution has become an urgent environmental problem. This study innovatively utilizes network-based methods to investigate the spatial correlation effects of haze pollution transmission between urban clusters in the Yangtze River Economic Belt. A spatial correlation network of haze pollution in the Yangtze River Economic Belt was constructed using 328 urban meteorological data collection points as research samples, and its structural characteristics were examined. Main findings are as follows: (1) The spatial correlation network of PM2.5 in the Yangtze River Economic Belt urban agglomeration exhibits typical network structural characteristics: obvious spatial correlation within the network. (2) Chengdu, Chongqing, Wuhan, Nanchang, Yichang, Changsha and Yueyang are located at the center of the spatial network. They have more receiving and sending relationships. (3) 36 cities can be divided into four types: bilateral overflow, net beneficiary, net overflow and broker. Each type has different functional characteristics and linkage effects in the network. (4) Haze pollution positively correlates with the city’s synergistic development capacity and urbanization rate, the higher the city’s development level and the higher the Urbanization rate, the stronger its haze pollution capacity. This study provides new insights into the study of the spatial correlation and impact of haze pollution.

Suggested Citation

  • Zihai Fang & Zuhan Liu & Yuanhao Hu, 2024. "Spatial correlation effect of haze pollution in the Yangtze River Economic Belt, China," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-18, October.
    • Handle: RePEc:plo:pone00:0311574
    DOI: 10.1371/journal.pone.0311574
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    References listed on IDEAS

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    1. Xiaoguang Chen & Jingjing Ye, 2019. "When the wind blows: spatial spillover effects of urban air pollution in China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 62(8), pages 1359-1376, July.
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