Author:
Lian Xugang,Shi Lifan,Kong Weiyu,Han Yu,Fan Haodi
Abstract
AbstractThe residual subsidence caused by underground mining in mountain area has a long subsidence duration time and great potential harm, which seriously threatens the safety of people's production and life in the mining area. Therefore, it is necessary to use appropriate monitoring methods and mathematical models to effectively monitor and predict the residual subsidence caused by underground mining. Compared with traditional level survey and InSAR (Interferometric Synthetic Aperture Radar) technology, GNSS (Global Navigation Satellite System) online monitoring technology has the advantages of long-term monitoring, high precision and more flexible monitoring methods. The empirical equation method of residual subsidence in mining subsidence is effectively combined with the rock creep equation, which can not only describe the residual subsidence process from the mechanism, but also predict the residual subsidence. Therefore, based on GNSS online monitoring technology, combined with the mining subsidence model of mountain area and adding the correlation coefficient of the compaction degree of caving broken rock and the Kelvin model of rock mechanics, this paper constructs the residual subsidence time series model of arbitrary point on the ground in mountain area. Through the example, the predicted results of the model in the inversion parameter phase and the dynamic prediction phase are compared with the measured data sequence. The results show that the model can carry out effective numerical calculation according to the GNSS monitoring data of any point on the ground, and the model prediction effect is good, which provides a new method for the prediction of residual subsidence in mountain mining.
Funder
Natural Science Foundation of Shanxi Province, China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference33 articles.
1. Bai ZH, Li L, Chen RL, Xie AL (2009) Research on stability of foundation over mined gob and residual deformation rule. Coal Mining Technol 14(39–41):82
2. Cai Y, Jin Y, Wang Z, Chen T, Wang Y, Kong W, Xiao W, Li X, Lian X, Hu H (2023) A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining. Int J Coal Sci Technol 10(1):32. https://doi.org/10.1007/s40789-023-00595-4
3. Chen CK (2019) Research on data processing and prediction of surface movement and deformation of mining subsidence based on adaptive Kalman filter. Dissertation, Anhui University of Science and Technology
4. Cui XM, Zhao YL, Wang GR, Zhang B, Li CY (2020) Calculation of residual surface subsidence above abandoned longwall coal mining. Sustainability 12:1528. https://doi.org/10.3390/su12041528
5. Cui XM, Che YH, Malinowska A, Zhao YL, Li PX, Hu QF, Kang XL, Bai ZH (2022) Method and problems for subsidence prediction in entire process induced by underground mining. J China Coal Soc 47:2170–2181
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