Spatial and Temporal Heterogeneity of Human-Air-Ground Coupling Relationships at Fine Scale

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成果类型：

期刊论文

作者：

Peng, Huaizhen;Lou, Huachao;Yang, Ying;He, Qingying;Liu, Yifan;...

通讯作者：

Zhang, MM

作者机构：

[Peng, Huaizhen; Liu, Yifan; He, Qingying] Cent South Univ Forestry & Technol, Coll Landscape & Architecture, Changsha 410004, Peoples R China.

[Lou, Huachao] Engn Technol Res Ctr Big Data Landscape Resources, Changsha 410004, Peoples R China.

[Chen, Enqing] Zhejiang Normal Univ, Management Comm Hangzhou Campus, Hangzhou 321004, Peoples R China.

[Zhang, Maomao] Wuhan Donghu Univ, Sch Educ & Foreign Languages, Wuhan 430212, Peoples R China.

[Zhang, Maomao] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430079, Peoples R China.

通讯机构：

[Zhang, MM ] W

Wuhan Donghu Univ, Sch Educ & Foreign Languages, Wuhan 430212, Peoples R China.

Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430079, Peoples R China.

语种：

英文

关键词：

PM2.5 concentration;population exposure risk;landscape pattern index;spatial heterogeneity;spatiotemporal evolution

期刊：

POLISH JOURNAL OF ENVIRONMENTAL STUDIES

ISSN：

1230-1485

年：

2025

DOI：

10.15244/pjoes/197055

基金类别：

Central South University of Forestry and Technology 2024 Graduate Student Science and Technology Innovation Fund [2024CX01009]; Postgraduate Scientific Research Innovation Project of Hunan Province [CX20240712]

机构署名：

本校为第一机构

院系归属：

风景园林学院

摘要：

The study of the spatial and temporal evolution of annual mean PM2.5 concentration and population exposure risk in Hunan Province can further analyze the influence of the landscape pattern index on the changes in annual mean PM2.5 concentration and population exposure risk. The spatial and temporal evolution of the coupling relationship between people, air, and land at a fine scale and its spatial heterogeneity were investigated by the population exposure risk model, the moving window method, the spatial auto correlation model, and correlation analysis. The results show that: (1) from 2000 to ...

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Spatial and Temporal Heterogeneity of Human-Air-Ground Coupling Relationships at Fine Scale

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