Spatiotemporal Distribution of the Impact of Urban Development on Air Pollution

• Autorzy: Chen Bizhen , Ye Fengjiao , Xie Shanshan , Sun Dehong

Identyfikatory

DOI

10.37190/epe250102

• Języki publikacji: EN

Abstrakty

EN

This study applies China’s air pollution and urban development data from 2007 to 2021, and the temporally weighted regression (GTWR) model to analyze the spatiotemporal distribution characteristics of air pollution influencing factors. It was found that the temporal evolution of air pollution in different regions is highly consistent but its degree varies with the pollution severity. The impact of urban development on air pollution has significant spatiotemporal heterogeneity. Overall, urban green space area (UGSA), urban population density (UPD), and domestic waste removal volume (DWRV) have positive impacts, while urbanization rate (UR), per capita disposable income of urban residents (URI), and public vehicles per every 10 000 people (PTV) have negative impacts. The impact of USGA, UR, and URI is mainly visible in western provinces, the impact of UPD in northeast provinces, the impact of DWRV in eastern and central provinces, and the impact of PTV in eastern provinces.

Słowa kluczowe

EN

domestic wastes; population densities; waste removal; haze pollution

PL

odpadki domowe; gęstość zaludnienia; usuwanie odpadów; zanieczyszczenie mgłą

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Environment Protection Engineering
• Rocznik: 2025
• Tom: Vol. 51, nr 1
• Strony: 21--35
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Chen Bizhen

• School of Information Management, Minnan University of Science and Technology, Quanzhou, China

• https://orcid.org/0009-0000-8559-9996

autor

Ye Fengjiao

• School of Information Engineering, Quanzhou Ocean Institute, Quanzhou, China

• https://orcid.org/0009-0000-1320-9450

autor

Xie Shanshan

• School of Information Management, Minnan University of Science and Technology, Quanzhou, China

• https://orcid.org/0009-0009-8085-9598

autor

Sun Dehong

• School of Information Management, Minnan University of Science and Technology, Quanzhou, China

• https://orcid.org/0009-0000-2203-4330

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