联合InSAR 与GNSS 的矿区开采沉陷参数反演

金属矿山 ›› 2025, Vol. 54 ›› Issue (10): 201-209.

联合InSAR 与GNSS 的矿区开采沉陷参数反演

师　芸^1,2　吕凯玲^1,2　张雨欣³　王　凯⁴　郭　昭^1,2　蒋朝阳⁵

1. 西安科技大学测绘科学与技术学院,陕西西安 710054;2. 自然资源部煤炭资源勘查与综合利用重点实验室,
陕西西安 710021;3. 青海省自然资源遥感中心,青海西宁 810001;4. 陕西省土地工程建设集团有限责任公司,
陕西西安 710075;5. 上海浦海测绘有限公司,上海 201399

出版日期:2025-10-15 发布日期:2025-11-07
作者简介:师　芸(1974—),女,教授,博士,博士研究生导师。
基金资助:
国家自然科学基金资助项目(编号:42174045)。

Inversion of Mine Subsidence Parameters in Mining Areas Combined InSAR and GNSS

SHI Yun^1,2　LÜ Kailing^1,2　ZHANG Yuxin³　WANG Kai⁴　GUO Zhao^1,2　JIANG Chaoyang⁵

1. College of Geomatics,Xi′an University of Science and Technology,Xi′an 710054,China;
2. Key Laboratory of Coal Resources Exploration and Comprehensive Utilization,Xi′an 710021,China;
3. Qinghai Provincial Remote Sensing Center for Natural Resources,Xining 810001,China;4. Shaanxi Provincial Land Engineering and
Construction Group Co. ,Ltd. ,Xi′an 710075,China;5. Shanghai Puhai Surveying and Mapping Co. ,Ltd. ,Shanghai 201399,China

Online:2025-10-15 Published:2025-11-07

摘要/Abstract

摘要： 陕北黄土矿区往往具有煤层埋藏浅、基岩薄的特点,高强度开采极易导致地表产生大量级形变。对于
大尺度形变,在应用InSAR 技术过程中,沉降盆地中心会出现失相干现象和对应的相位解缠错误的问题,概率积分法
可以有效弥补下沉盆地中心的沉降信息。为提升开采沉陷参数反演的准确性与可靠性,融合GNSS 与SBAS-InSAR 监
测数据,并引入麻雀搜索算法(SSA)开展高精度参数反演,旨在建立更加高效、精确的沉陷监测与评估方法。以陕北
矿区某工作面为试验区域,结果表明:SBAS-InSAR 技术与传统监测手段相比,可获得大范围的地表形变;采用麻雀算
法求取沉陷盆地的概率积分法预计参数,结果精度较高;与实测结果对比,InSAR 与GNSS 拟合结果较好,可为矿区地
表沉陷规律研究与煤矿安全提供理论参考。

关键词: 开采沉陷　SBAS-InSAR　参数反演　概率积分　麻雀优化算法

Abstract: The loess mining area in northern Shaanxi often has the characteristics of shallow coal seam and thin bedrock.
High-intensity mining can easily lead to a large amount of surface deformation. For large-scale deformation,in the process of
applying InSAR technology,the center of the subsidence basin will have the problem of decoherence and the corresponding
phase unwrapping error. The probability integration method can effectively compensate for the subsidence information in the
center of the subsidence basin. In order to improve the accuracy and reliability of mining subsidence parameter inversion,GNSS
and SBAS-InSAR monitoring data are integrated,and sparrow search algorithm (SSA) is introduced to carry out high-precision
parameter inversion,aiming to establish a more efficient and accurate subsidence monitoring and evaluation method. Taking a
working face in northern Shaanxi mining area as the test area,the results show that SBAS-InSAR technology can obtain largescale
surface deformation compared with traditional monitoring methods. The sparrow algorithm is used to obtain the predicted
parameters of the probability integral method of the subsidence basin,and the accuracy of the results is high. Compared with the
measured results,the fitting results of InSAR and GNSS are better,which can provide theoretical reference for the study of surface
subsidence law and coal mine safety in mining area.

Key words: mining subsidence,SBAS-InSAR,parameter inversion,probability integral,sparrow optimization algorithm

中图分类号:

TD327

师　芸, 　吕凯玲, 　张雨欣　王　凯　郭　昭, 　蒋朝阳. 联合InSAR 与GNSS 的矿区开采沉陷参数反演[J]. 金属矿山, 2025, 54(10): 201-209.

SHI Yun, 　LÜ Kailing, 　ZHANG Yuxin　WANG Kai　GUO Zhao, 　JIANG Chaoyang. Inversion of Mine Subsidence Parameters in Mining Areas Combined InSAR and GNSS[J]. Metal Mine, 2025, 54(10): 201-209.

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