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作 者:褚夫玉 CHU Fuyu(Shandong Survey and Design Institute of Water Conservancy Co.,Ltd.,Jinan 250000,China)
机构地区:[1]山东省水利勘测设计院有限公司,济南250000
出 处:《煤炭技术》2025年第3期111-117,共7页Coal Technology
摘 要:DInSAR监测开采沉陷能精确捕捉边缘微小形变,但对大形变不敏感。为完整获取沉陷特征,研究将沉陷盆地分为边缘与中心区,结合DInSAR形变梯度、概率积分预计倾斜值和相干性变化,确定边缘下沉临界值,并融合概率积分预计下沉值,成功获取完整沉降特征。基于Sentinel-1A数据,利用DInSAR可监测的形变梯度值与概率积分法预计的沉陷盆地倾斜值,确定了DInSAR监测的可靠性区域与较可靠性区域,然后利用沉陷盆地相干性的变化确定可靠的DInSAR监测值,最后,联合概率积分法预计的最大下沉阈值和拐点值,组成混合数据集,得到矿区大梯度下沉特征曲线。研究显示,形变梯度、倾斜值、相干系数能有效确定DInSAR监测的边缘下沉临界值,为InSAR分析矿区沉陷提供了新途径。DInSAR monitoring mining subsidence can accurately capture small edge deformation,but it is not sensitive to large deformation.In order to obtain the subsidence characteristics completely,the subsidence basin is divided into marginal and central areas,and the critical value of edge subsidence is determined by combining DInSAR deformation gradient,probability integral predicted inclination value and coherence change,and the probability integral predicted subsidence value is integrated to obtain the complete subsidence characteristics successfully.Based on Sentinel-1A data,the deformation gradient value monitored by DInSAR and the dip value of subsidence basin predicted by probability integral method were used to determine the reliable and relatively reliable regions monitored by DInSAR,and then the reliable DInSAR monitoring values were determined by using the changes in the coherence of subsidence basins.Finally,the maximum subsidence threshold and inflection point values predicted by the combined probability integration method are combined to form a mixed data set,and the large gradient subsidence characteristic curve of the mining area is obtained.The results show that the deformation gradient,inclination value and coherence coefficient can effectively determine the edge subsidence critical value monitored by DInSAR,which provides a new way for InSAR analysis of mining area subsidence.
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