干旱区生态环境知识资源中心(Arid): Assessing the Nonlinear Relationship between Land Cover Change and PM10 Concentration Change in China

Arid

DOI	10.3390/land13060766
	Assessing the Nonlinear Relationship between Land Cover Change and PM10 Concentration Change in China
	Xu, Xiankang; Hao, Jian; Liang, Yuxin; Shen, Jingwei
通讯作者	Shen, JW
来源期刊	LAND
EISSN	2073-445X
出版年	2024
卷号	13 期号:6
英文摘要	Inhalable particulate matter (PM10) is a major air pollutant that has significant impacts on environmental climate and human health. Land-cover change is also a key factor influencing changes in atmospheric pollution. Changes in land-cover types can lead to changes in the sources and sinks of air pollutants, thus affecting the spatial distribution of PM10, which poses a threat to human health. Therefore, exploring the relationship between PM10 concentration change and land-cover change is of great significance. In this study, we constructed an extreme randomized trees model (ET) based on ground PM10 monitoring data, satellite-based aerosol optical depth (AOD) data, and auxiliary data including meteorological, vegetation, and population data to retrieve ground-level PM10 concentrations across China. The coefficient of determination (R-2), the mean absolute error (MAE), and the root mean square error (RMSE) of the model were 0.878, 5.742 mu g/m(3), and 8.826 mu g/m(3), respectively. Based on this, we analyzed the spatio-temporal distribution of PM10 concentrations in China from 2015 to 2021. High PM10 values were mainly observed in the desert areas of northwestern China and the Beijing-Tianjin-Hebei urban agglomeration. The majority of China showed a significant decrease in PM10 concentrations. Additionally, we also analyzed the nonlinear response mechanism of the PM10 concentration change to land-cover change. The PM10 concentration is sensitive to forest and barren land change. Therefore, strengthening the protection of forests and desertification control can significantly reduce air pollution. Attention should also be paid to emission management in agricultural activities and urbanization processes.
英文关键词	PM10 machine learning land cover GAM
类型	Article
语种	英语
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:001257727900001
WOS关键词	AIR-QUALITY ; RELATIVE-HUMIDITY ; USE REGRESSION ; RANDOM FOREST ; PM2.5 ; POLLUTION ; POLLUTANTS ; IMPACTS ; MODEL ; NO2
WOS类目	Environmental Studies
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404816
推荐引用方式 GB/T 7714	Xu, Xiankang,Hao, Jian,Liang, Yuxin,et al. Assessing the Nonlinear Relationship between Land Cover Change and PM10 Concentration Change in China[J],2024,13(6).
APA	Xu, Xiankang,Hao, Jian,Liang, Yuxin,&Shen, Jingwei.(2024).Assessing the Nonlinear Relationship between Land Cover Change and PM10 Concentration Change in China.LAND,13(6).
MLA	Xu, Xiankang,et al."Assessing the Nonlinear Relationship between Land Cover Change and PM10 Concentration Change in China".LAND 13.6(2024).