Spatiotemporal Dynamic Evolution of PM2.5 Exposure from Land Use Changes: A Case Study of Gansu Province, China

doi:10.3390/land14040795

	Spatiotemporal Dynamic Evolution of PM2.5 Exposure from Land Use Changes: A Case Study of Gansu Province, China
	Liu, Fang 1,2; Jia, Shanghui 3; Ma, Lingfei 3; Lu, Shijun1
	2025-04-07
发表期刊	LAND
卷号	14 期号:4
摘要	Air pollution is a major trigger for chronic respiratory and circulatory diseases. As a key component of air pollution, fine particulate matter (PM2.5) exposure is largely determined by land use type and population density. However, simultaneous consideration of their spatiotemporal distribution is lacking in existing studies on PM2.5 exposure. In this paper, we first assess the dynamic evolution of land use patterns in Gansu Province, China, from 2000 to 2020, using a land use transfer matrix and dynamic degree. Population-weighted exposure (PWE) to PM2.5 is then evaluated for each land use type at provincial, city, and county levels, with seasonal variations analyzed. Spatial autocorrelation analysis is finally performed to explore the spatiotemporal evolution of PM2.5 exposure, whereas standard deviation ellipses and gravity center migration models highlight spatial distribution characteristics and shifting trends. Experimental results showed that 2010 was a turning point for annual PM2.5 exposure at the provincial level in Gansu Province, with an initial increase followed by a decrease. Construction land had the highest annual PM2.5 exposure, whereas forest had the lowest exposure (except in 2005). Exposure levels showed a seasonal pattern: higher in winter and spring and lower in summer and autumn. At city and county levels, southern Gansu indicated a continuous decline in annual PM2.5 exposure across all land use types since 2000. Exposure levels exhibited a strong spatial positive correlation, with a fluctuating spatial convergence. This study comprehensively analyzes the multi-scale differences and spatiotemporal evolution patterns of PM2.5 exposure across various land use types, contributing to provide scientific evidence and decision-making support for mitigating air pollution and enhancing coordinated air pollution control at multi-scale administrative levels.
关键词	PM2.5 exposure land use change multi-spatiotemporal scales standard deviation ellipse seasonal variations
DOI	10.3390/land14040795
收录类别	SSCI
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Studies
WOS记录号	WOS:001476654400001
出版者	MDPI
原始文献类型	Article
EISSN	2073-445X
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/39147
专题	统计与数据科学学院
通讯作者	Ma, Lingfei; Lu, Shijun
作者单位	1.Lanzhou Univ Finance & Econ, Sch Stat & Data Sci, Lanzhou 730020, Peoples R China; 2.Inner Mongolia Univ Sci & Technol, Sch Sci, Baotou 014010, Peoples R China; 3.Cent Univ Finance & Econ, Sch Stat & Math, Beijing 100081, Peoples R China
第一作者单位	统计与数据科学学院
通讯作者单位	统计与数据科学学院
推荐引用方式 GB/T 7714	Liu, Fang,Jia, Shanghui,Ma, Lingfei,et al. Spatiotemporal Dynamic Evolution of PM2.5 Exposure from Land Use Changes: A Case Study of Gansu Province, China[J]. LAND,2025,14(4).
APA	Liu, Fang,Jia, Shanghui,Ma, Lingfei,&Lu, Shijun.(2025).Spatiotemporal Dynamic Evolution of PM2.5 Exposure from Land Use Changes: A Case Study of Gansu Province, China.LAND,14(4).
MLA	Liu, Fang,et al."Spatiotemporal Dynamic Evolution of PM2.5 Exposure from Land Use Changes: A Case Study of Gansu Province, China".LAND 14.4(2025).