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[Spatiotemporal Pattern and Driving Force Analysis of Ecological Environmental Quality in Typical Ecological Areas of the Yellow River Basin from 1990 to 2020].

Authors :
Wang F
Li WH
Lin YM
Nan XX
Hu ZR
Source :
Huan jing ke xue= Huanjing kexue [Huan Jing Ke Xue] 2023 May 08; Vol. 44 (5), pp. 2518-2527.
Publication Year :
2023

Abstract

Scientific evaluation of ecological environmental quality is the premise of realizing regional ecological sustainable development. Taking Landsat series satellite images from 1990 to 2020 as the data source, on the basis of the entropy remote sensing ecological index (E-RSEI), combining the Mann-Kendall significance test, Theil-Sen Median analysis, Hurst exponent, and stability analysis, the spatial-temporal variation characteristics of ecological environmental quality in typical ecological areas of the Yellow River Basin were analyzed in the context of multi-spatiotemporal scales. In addition, the effects of eight environmental and human factors on the change in E-RSEI were quantified using a geodetector. The results showed that:① in the past 31 years, the average value of E-RSEI was 67.5%, which showed an increasing trend on the time scale, with an average increase of 0.066·(10 a) <superscript>-1</superscript> . On the spatial scale, E-RSEI was higher in the west and the south lower in the east and the north. ② The ecological environmental quality will continue to improve in the future, but 9.33% of the areas have potential risks of degradation. ③ Precipitation was the dominant environmental factor that affected the spatial distribution of E-RSEI in this area, and the influence of human factors was low. Compared with that of single factors, the interaction of factors had a stronger impact on ecological environmental quality, and the interaction between precipitation and other factors played a leading role. The results of this study can provide a scientific reference for the sustainable development of ecological environmental quality in the ecological zone of the Yellow River Basin.

Details

Language :
Chinese
ISSN :
0250-3301
Volume :
44
Issue :
5
Database :
MEDLINE
Journal :
Huan jing ke xue= Huanjing kexue
Publication Type :
Academic Journal
Accession number :
37177926
Full Text :
https://doi.org/10.13227/j.hjkx.202206029