Spatiotemporal evolution and driving forces analysis of ecological environment quality in mining areas of the Yellow River Basin-interpretable modeling based on XGBoost-SHAP.

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Bibliographic Details
Title: Spatiotemporal evolution and driving forces analysis of ecological environment quality in mining areas of the Yellow River Basin-interpretable modeling based on XGBoost-SHAP.
Authors: Zhang H; School of Intelligent Construction and Civil Engineering, Luoyang Institute of Science and Technology, Luoyang, 471023, China.; Henan Province Engineering Technology Research Center Or Tunnel Construction and Disaster Control, Luoyang, 471023, China., Wang H; School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China. wsd0908@163.com., Jiao Y; School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China.
Source: Environmental monitoring and assessment [Environ Monit Assess] 2026 Apr 22; Vol. 198 (5). Date of Electronic Publication: 2026 Apr 22.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-2959
DOI:10.1007/s10661-026-15305-1