Abstract
Jurassic coal seams are a common geological feature in the mining areas of western China. Deeply buried Jurassic coal seams were mined in the Hujierte mining area in western China. The Hujierte mining area has a mining depth of more than 600 m, and the alluvium in the mining area is primarily composed of eolian sand. Understanding the characteristics of mining subsidence is crucial for preserving the ecological environment of the mining area. Surface subsidence caused by coal mining has different characteristics depending on geological conditions. However, the characteristics of surface subsidence caused by mining deeply buried Jurassic coal seams have rarely been studied. Therefore, using a coal mine in the Hujierte mining area as an example, the observed data of surface movements in the mining area are analyzed in this study. The results reveal that (1) when the ratio of mining width to depth are 0.44, 0.88, and 1.31, the subsidence factors are 0.129, 0.427, and 0.429, respectively, and (2) although the mining degree of the study area is larger than that of some coal mines in the eastern and western regions of China, the subsidence factor of the study area is still lower than that of these coal mines. Moreover, this study proposes a method for predicting the surface subsidence based on the T-distribution. At the edge of a subsidence basin, the fitting accuracy of the model is better than that of the probability integration method.
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Acknowledgements
This research was supported by the National Natural Science Foundation of China, Graduate Innovation Program of China University of Mining and Technology, and the Postgraduate Research & Practice Innovation Program of Jiangsu Province. We thank the Wushen Country Coal Bureau of the Inner Mongolia Autonomous Region of China and its affiliated coal mine enterprises and the Mining Damage and Protection Research Institute of China University of Mining and Technology for providing information on conditions of geology and mining, and key measured data of the Hujierte mining area.
Funding
Funded by the National Natural Science Foundation of China (grant number 51974292); funded by the Graduate Innovation Program of China University of Mining and Technology (grant number 2022WLKXJ105); funded by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (grant number KYCX22_2588).
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Yin, H., Guo, G., Li, H. et al. Prediction method and research on characteristics of surface subsidence due to mining deeply buried Jurassic coal seams. Bull Eng Geol Environ 81, 449 (2022). https://doi.org/10.1007/s10064-022-02946-y
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DOI: https://doi.org/10.1007/s10064-022-02946-y