Abstract
The negative impacts of the overexploitation of resources on regional environments have become increasingly obvious. The contradiction between the environment and development and the management of the ecological environment in mining areas are urgent problems to be solved. This paper uses Landsat images from four temporal phases from 1991 to 2018 in the Lingbei mining area of Dingnan County, China, to construct a rare earth remote sensing-based ecological index (RE-RSEI) suitable for rare earth mining areas and to analyze the impacts of different rare earth mining methods, mining scales and environmental management measures on the mining area environment over the past 27 years. The results show that since 1991, due to the mining techniques of “pond leaching” and “heap leaching” and the soil condition, mining has caused severe damage to the land and vegetation, and the ecological environment quality of the entire mining area has been seriously reduced with its RE-RSEI value dropping from 0.744 to 0.675. After 2010, through the optimization of mining technology and the government’s attention to ecological environmental governance, the quality of the ecological environment was slowly restored, and the recovery effect at some mine sites was remarkable. The RE-RSEI model has good applicability to rare earth mining areas, can intuitively reflect the destruction and restoration of the ecological environment of rare earth mining areas under different mining modes, and provides scientific guidance for promoting the coordination of the development and utilization of rare earth resources and mine ecological environmental protection and sustainable development.
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22 May 2021
A Correction to this paper has been published: https://doi.org/10.1007/s10653-021-00980-5
References
Crist, E. P. (1985). A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sensing of Environment, 17, 301–306.
Goward, S. N., Xue, Y. K., & Czajkowski, K. P. (2002). Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements—An exploration with the simplified simple biosphere model. Remote Sensing of Environment, 79, 225–242.
Guo, Z. Q., Jin, J. F., Zhao, K., et al. (2018). Status of leaching technology and theory of ion adsorption type rare earth ores. China Rare Earths, 39(01), 132–141.
Hang, X., Li, Y., Luo, X., et al. (2020). Assessing the ecological quality of nanjing during its urbanization process by using satellite, meteorological, and socioeconomic data. Journal of Meteorological Research, 34(2), 280–293.
Hanqiu, X., Meiya, W., Tingting, S., et al. (2018). Prediction of ecological effects of potential population and impervious surface increases using a remote sensing based ecological index (RSEI). Ecological Indicators, 93, 730–740.
Hu, X., & Xu, H. (2018). A new remote sensing index for assessing the spatial heterogeneity in urban ecological quality: A case from Fuzhou City, China. Ecological Indicators, 89, 11–21.
Li, Q., Li, H. K., Yang, L., et al. (2017). Remote sensing monitoring of mining area desertification under disturbance of ionic rare earth mining: Using Lingbei rare earth mining area as the case. Nonferrous Metals Science and Engineering, 8(03), 114–120.
Li, H. K., Wu, L. X., Xiong, Y. F., et al. (2016a). Spatiotemporal change of soil erosion in rare earth mining area based on RUSLE model: A case in Lingbei mining area. Chinese Rare Earths, 37(04), 35–44.
Li, H. K., Yang, L., & Lei, J. (2016b). The surface disturbance analysis method based on temperature differentiation in rare earth mining. Journal of the Chinese Society of Rare Earths, 34(3), 373.
Liu, Q. H., Wu, J. J., Li, L., et al. (2018). Ecological environment monitoring for sustainable development goals in the Belt and Road region. Journal of Remote Sensing, 22(4), 686–708. https://doi.org/10.11834/jrs.20187264.
Lu, H. Z., Liang, Y., Cao, L. X., et al. (2015). Water and soil loss research in rare earth tailing heap in Southern Jiangxi. Soil, 47(02), 387–393.
Luo, C. G., Luo, X. P., Su, J., et al. (2014). Environmental problems and treatment measures in ionic-type rare earth mine. Metal Mine, 06, 91–96.
Ministry of Water Resources. (2006). Announcement on Division of National Key Soil and Water Loss Prevention and Control Areas, Beijing, 111000/2006-00243.
Qin, Z. H., Zhang, M. H., Karnieli, A., et al. (2001). Mono-window algorithm for retrieving land surface temperature from landsat TM6 data. Acta Geographica Sinica, 4, 456–466. https://doi.org/10.11821/xb200104009.
Renard, K. G., Foster, G. R., Weesies, G. A., et al. (1991). RUSLE: Revised universal soil loss equation. Journal of Soil and Water Conservation, 46(1), 30–33.
Shi, S. E., Wei, W., Yang, D., et al. (2018). Spatial and temporal evolution of eco-environmental quality in the oasis of Shiyang River Basin based on RSEDI. Journal of Ecology, 37(04), 1152–1163. (in Chinese).
State Environmental Protection Administration. (2006). Technical criterion for eco-environmental status evaluation (HJ/T192-2006). Beijing: China Environmental Science Press. (in Chinese).
The State Council of the People’ s Republic of China. (2011). Several opinions of the State Council on promoting the sustainable and healthy development of the rare earth industry [2011] No. 12[A/OL]. (2011-05-10).
Xia, N. (2018). Study on remote sensing monitoring of eco-environment and assessment model of ecological quality in Zhundong Mining Region, Xinjiang University.
Xu, H. Q. (2013). A remote sensing index for assessment of regional ecological changes. China Environmental Science, 33(5), 889–897.
Xu, H., Wang, Y., Guan, H., et al. (2019). Detecting ecological changes with a remote sensing based ecological index (produced time series and change vector analysis). Remote Sensing, 11(20), 2345.
Yue, H., Liu, Y., Li, Y., et al. (2019). Eco-environmental quality assessment in China’s 35 major cities based on remote sensing ecological index. IEEE Access, 7, 51295–51311.
Zeng, Y. N., Xiang, N. P., & Feng, Z. D. (2006). Albedo-NDVI space and remote sensing synthesis index models for desertification monitoring. Scientia Geographica Sinica, 26(1), 75–81.
Zhang, J. (2016). Analysis of the influence mechanism of rare earth price fluctuation in different periods. Rare Earth Information, 09, 35–37.
Zhu, D., Chen, T., Zhen, N., et al. (2020). Monitoring the effects of open-pit mining on the eco-environment using a moving window-based remote sensing ecological index. Environmental Science and Pollution Research, 27(3), 15716–15728.
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Ministry of Education Humanities and Social Sciences Research Project Planning Fund (18YJAZH040); Jiangxi Natural Science Foundation(20181BAB206018); Prosperity of Philosophy and Social Science Research in 2019(FZ19-YB-05)
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Xu Feng and Li Hengkai conceived and designed the experiments; Xu Feng performed the experiments; Xu Feng and Li Yingshuang analyzed the data; Xu Feng wrote the paper.
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The original online version of this article was revised: The authors first and last name was swapped and incorrectly published as “Xu Feng, Li Hengkai and Li Yingshuang”. The authors name should be “Feng Xu, Hengkai Li and Yingshuang Li”.
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Xu, F., Li, H. & Li, Y. Ecological environment quality evaluation and evolution analysis of a rare earth mining area under different disturbance conditions. Environ Geochem Health 43, 2243–2256 (2021). https://doi.org/10.1007/s10653-020-00761-6
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DOI: https://doi.org/10.1007/s10653-020-00761-6