融合概率积分法与SBAS-InSAR的开采沉陷计算方法  

Calculation method for mining subsidence combining probability integral method and SBAS-InSAR

作　　者：丁星丞 李培现[1] 康新亮 王明亮 张涛[1] 郝登程 DING Xingcheng;LI Peixian;KANG Xinliang;WANG Mingliang;ZHANG Tao;HAO Dengcheng(College of Geoscience and Surveying Engineering,China University of Mining and Technology-Beijing,Beijing 100083,China;Inner Mongolia Research Institute,China University of Mining and Technology-Beijing,Ordos Inner Mongolia 017010,China;Geological Department,XiShan Coal Electricity Group Co.,Ltd.,Taiyuan Shanxi 030053,China;China Centre for Resources Satellite Data and Application,Beijing 100094,China)

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]中国矿业大学(北京)内蒙古研究院,内蒙古鄂尔多斯017010 [3]西山煤电(集团)有限责任公司地质处,山西太原030053 [4]中国资源卫星应用中心,北京100094

出　　处：《矿业科学学报》2025年第1期48-56,共9页Journal of Mining Science and Technology

基　　金：国家自然科学基金(52174160);河北省自然科学基金一生态智慧矿山联合基金(E2020402086);煤炭资源高效开采与洁净利用国家重点实验室开放基金(2021-CMCU-KF014)。

摘　　要：针对开采沉陷概率积分法参数反演过程中存在容易陷入局部最优解、反演结果无法准确预计边缘沉降的问题,提出将蜣螂优化算法应用于概率积分法参数反演,结合SBAS-InSAR沉降监测值获取矿区整体沉降信息。首先依据SBAS-InSAR技术监测形变的梯度信息获取可靠的矿区小梯度形变区域沉降值;然后将寻优能力强、准确度高的蜣螂优化算法应用于概率积分法参数反演,计算获取矿区大梯度形变区域沉降值;最后基于距离平方加权法将概率积分法预计沉降值与SBAS-InSAR沉降监测值融合计算,得到开采沉陷变形信息。以山西省古交市马兰矿10604工作面作为研究对象,采用实地62个水准监测点数据与25景Sentinel-1A数据进行实验分析。结果表明,蜣螂优化算法参数反演结果优异,数据融合后可获取准确的沉降信息,计算精度相对于单独使用SBAS-InSAR和概率积分法分别提高59%与32%。To address the issues of local optima and inaccurate edge subsidence predictions in the pa-rameter inversion process of the mining subsidence probability integral method,the authors propose ap-plying the dung beetle optimizer algorithm to invert probability integral method parameters and integrate SBAS-InSAR subsidence monitoring values to obtain comprehensive subsidence information for the min-ing area.The method first utilizes gradient information from SBAS-InSAR technology to obtain reliable subsidence values for areas with small deformation gradients in the mining area.It then applies to the dung beetle optimizer algorithm,known for its strong optimization capability and high accuracy,to in-vert the parameters of the probability integral method and calculate subsidence values for areas with large deformation gradients.Finally,the subsidence values from the probability integral method and SBAS-InSAR monitoring are fused using a quadratic distance weighting method approach to derive the mining subsidence deformation information for the mining area.Using the 10604 working face of the Malan Mine in Gujiao City,Shanxi Province,as the study area,experimental analysis was conducted using data from 62 field leveling monitoring points and 25 Sentinel-1A images.The results indicate that the parameter inversion using the dung beetle optimizer algorithm is excellent,and accurate subsidence information can be obtained after data fusion.This approach improves accuracy by 59%compared to using SBAS-InSAR alone and by 32%compared to using the probability integral method alone.

关 键 词：开采沉陷 概率积分法 蜣螂优化算法 SBAS-InSAR 数据融合 

分 类 号：TD325[矿业工程—矿井建设]