2000—2023年黄河流域山西段生态环境质量时空变化及其驱动因素

doi:10.12118/j.issn.1000-6060.2025.221

Abstract

Abstract:

Based on the Google Earth Engine (GEE) platform, this study coupled aerosol optical depth with the remote sensing ecological index to construct a modified remote sensing ecological index (MRSEI) for comprehensively evaluating the spatiotemporal variation and driving mechanisms of ecological environment quality in the Shanxi section of the Yellow River Basin, China, from 2000 to 2023. The results show that: (1) MRSEI substantially improved the accuracy of ecological environment quality assessment, with stronger texture features and better detail representation. (2) From 2000 to 2023, ecological environment quality in the study area improved overall. Most areas were classified as general or good, with only a small proportion at poor levels. Spatially, MRSEI indicated a low-high gradient from northwest to southeast. The western part of Lüliang City exhibited the poorest ecological quality, with unfavorable conditions also observed in Datong City, Shuozhou City, and Xinzhou City. In contrast, Changzhi City, eastern Linfen City, parts of Jincheng City, and eastern Yuncheng City showed the best conditions. (3) Land use type exerted the greatest influence on ecological environment quality, followed by annual precipitation, slope, and elevation. Interactions among factors were significantly enhanced, particularly between land use type and other variables. This study provides a scientific basis for ecological environment protection and sustainable development in the Shanxi section of the Yellow River Basin.

Key words: Shanxi section of the Yellow River Basin, modified remote sensing ecological index, ecological environment quality, spatial autocorrelation, optimal parameters-based geographic detector

ZHANG Yin, SUN Congjian, LIU Geng, CHAO Jinlong, GENG Tianwei, LIU Honghong. Spatiotemporal changes and driving factors of ecological environment quality in the Shanxi section of the Yellow River Basin from 2000 to 2023[J].Arid Land Geography, 2025, 48(11): 1983-1994.

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年份	NDVI	WET	NDBSI	LST	AOD	平均相关度
2000	0.971^**	0.898^**	-0.961^**	-0.816^**	-0.213^**	0.772^**
2005	0.856^**	0.972^**	-0.969^**	-0.814^**	-0.201^**	0.762^**
2010	0.963^**	0.882^**	-0.958^**	-0.785^**	-0.149^**	0.747^**
2015	0.967^**	0.896^**	-0.961^**	-0.757^**	-0.231^**	0.762^**
2020	0.963^**	0.882^**	-0.944^**	-0.750^**	-0.213^**	0.750^**
2023	0.967^**	0.891^**	-0.959^**	-0.712^**	-0.084^**	0.723^**
相关系数均值	0.948^**	0.904^**	-0.959^**	-0.772^**	-0.182^**	0.753^**

驱动因素	2000年		2005年		2010年		2015年		2020年		2023年		2000—2023年均值
驱动因素	q值	排序	q值	排序	q值	排序	q值	排序	q值	排序	q值	排序	q值	排序
LUCC	0.588	1	0.615	1	0.642	1	0.612	1	0.555	1	0.452	1	0.577	1
高程	0.170	3	0.141	3	0.148	4	0.086	5	0.086	4	0.113	5	0.124	4
坡度	0.129	4	0.138	4	0.156	3	0.119	3	0.155	3	0.135	4	0.139	3
坡向	0.029	7	0.034	7	0.029	8	0.032	8	0.028	8	0.027	8	0.030	8
年降水量	0.300	2	0.256	2	0.268	2	0.238	2	0.335	2	0.217	3	0.269	2
年均气温	0.068	6	0.045	6	0.051	6	0.051	6	0.037	7	0.072	6	0.054	7
人口密度	0.029	8	0.028	8	0.050	7	0.039	7	0.045	6	0.223	2	0.069	6
GDP	0.080	5	0.060	5	0.094	5	0.113	4	0.059	5	0.080	7	0.081	5

Spatiotemporal changes and driving factors of ecological environment quality in the Shanxi section of the Yellow River Basin from 2000 to 2023

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