采矿与岩层控制工程学报2025，Vol.7Issue(6)：203-214,12.DOI:10.13532/j.jmsce.cn10-1638/td.2024-1380
联合Weibull函数与Kalman滤波的关闭煤矿区地表抬升InSAR预测
Ground surface uplift prediction of abandoned coal mines from InSAR observations using Weibull function and Kalman filter
摘要
Abstract
Ground uplift caused by groundwater rebound in closed coal mining areas threats infrastructure safety.We proposes a novel method for predicting surface uplift that does not rely on in-situ measurements of groundwater levels or geological/mining data.The method is based on the characteristic'S'-type growth pattern of surface uplift revealed by the principle of effective stress.The Weibull function and the Kalman filter are integrated for prediction model development.The Weibull function captures the long-term main trend,while the Kalman filter dynamically assimilates time-series InSAR monitoring data to account for actual fluctuations.An empirical study conducted at the closed Guanshan and Taiji mines in Beipiao City,Liaoning Province,is sued to validate the proposed model.The prediction shows an average deviation of only-1.2 mm and an average standard deviation of 2.9 mm when compared to leveling survey data,achieving an overall prediction accuracy of approximately 3 mm.By combining historical InSAR deformation data with the proposed model,this approach overcomes the dependency of traditional methods on field monitoring data,enabling accurate prediction of the surface uplift process in closed mining areas.This research not only provides a new methodological perspective for analyzing the mechanisms of mining-induced surface deformation but also offers efficient and reliable technical support directly applicable to land reclamation planning,infrastructure risk prevention and control in mining regions.关键词
矿区地表抬升/合成孔径雷达干涉测量/Weibull函数/Kalman滤波/动态预测Key words
ground uplift in mining areas/interferometric synthetic aperture radar(InSAR)/Weibull function/Kalman filter/dynamic prediction分类
矿业与冶金引用本文复制引用
邓伟男,柴嘉遥,杨泽发,尹希文,田国灿,高超..联合Weibull函数与Kalman滤波的关闭煤矿区地表抬升InSAR预测[J].采矿与岩层控制工程学报,2025,7(6):203-214,12.基金项目
中煤科工开采研究院有限公司科技创新基金资助项目(KCYJY-2023-MS-02) （KCYJY-2023-MS-02）
国家自然科学基金资助项目(42274057) （42274057）
湖南创新型省份建设专项资助项目(2023JJ10066) （2023JJ10066）
中南大学创新驱动计划资助项目(2023CXQD006) （2023CXQD006）
