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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 15 02 2024
accepted: 21 09 2024
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 39475904
doi: 10.1371/journal.pone.0311574
pii: PONE-D-24-06165
doi:

Substances chimiques

Particulate Matter 0
Air Pollutants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0311574

Informations de copyright

Copyright: © 2024 Fang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Zihai Fang (Z)

School of Information Engineering, Nanchang Institute of Technology, Nanchang, China.

Zuhan Liu (Z)

School of Information Engineering, Nanchang Institute of Technology, Nanchang, China.
Jiangxi Province Key Laboratory of Smart Water Conservancy, Nanchang, China.

Yuanhao Hu (Y)

School of Information Engineering, Nanchang Institute of Technology, Nanchang, China.

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Classifications MeSH