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Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China

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Abstract

High-intensity and large-scale resource development seriously threatens the fragile ecological environment in the red soil hilly region in southern China. This paper analyzes the eco-geological environmental problems and factors affecting Ganzhou, a mining city in the red soil hilly region, based on field survey and literature. The eco-geological environment quality (EGEQ) assessment system, which covered 11 indicators in physical geography, mining development, geological hazards, as well as water and soil pollution, was established through multi-source data utilization such as remote sensing images, DEM (Digital Elevation Model), field survey and on-site monitoring data. The comprehensive weight of each indicator was calculated through the Analytic Hierarchy Process (AHP) and entropy method. The eco-geological environment assessment map was developed by calculating the EGEQ value through the linear weighted method. The assessment results show that the EGEQ was classified into I-V grades from excellent to worse, among which, EGEQ of I-II accounted for 29.88%, EGEQ of III accounted for 32.35% and EGEQ of IV-V accounted for 37.77%; the overall EGEQ of Ganzhou was moderate. The assessment system utilized in this research provides scientific and accurate results, which in turn enable the proposal of some tangible protection suggestions.

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Acknowledgments

This work was financially supported by the Key Special Project of National Natural Science Foundation of China (No.41941018), the Fundamental Research Funds for the Key Laboratory of Geotechnical and Underground Engineering (Tongji University), and the Ministry of Education (Grant No. KLE-TJGE-B1905). All financial support was highly appreciated.

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Correspondence to Zhi-gang Tao.

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Zhao, Ff., He, Mc., Wang, Yt. et al. Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China. J. Mt. Sci. 19, 253–275 (2022). https://doi.org/10.1007/s11629-021-6860-x

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  • DOI: https://doi.org/10.1007/s11629-021-6860-x

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