基于时序InSAR技术的近距离多煤层参数反演方法

doi:10.12068/j.issn.1005-3026.2022.06.019

东北大学学报（自然科学版） ›› 2022, Vol. 43 ›› Issue (6): 897-904.DOI: 10.12068/j.issn.1005-3026.2022.06.019

基于时序InSAR技术的近距离多煤层参数反演方法

刘翠芝¹，王兴杰¹，贺黎明¹，唐永亮²

(1. 东北大学资源与土木工程学院，辽宁沈阳110819; 2. 辽宁省地质环境监测总站，辽宁沈阳110032)

修回日期:2021-07-12 接受日期:2021-07-12 发布日期:2022-07-01
通讯作者: 刘翠芝
作者简介:刘翠芝(1965-)，女，黑龙江绥化人，东北大学副教授.
基金资助:
国家自然科学基金资助项目(41974028)；中央高校基本科研业务费专项资金资助项目(N180104014).

Parameter Inversion Method of Close Multi-coalseam Based on Time Series InSAR

LIU Cui-zhi¹， WANG Xing-jie¹， HE Li-ming¹， TANG Yong-liang²

1. School of Resources & Civil Engineering， Northeastern University， Shenyang 110819， China;2. Liaoning Geological Environment Monitoring Station， Shenyang 110032， China.

Revised:2021-07-12 Accepted:2021-07-12 Published:2022-07-01
Contact: HE Li-ming
About author:-
Supported by:
-

摘要/Abstract

摘要： 近距离多煤层开采引起的采空区地面沉降在当前工矿区沉陷中占有较大的比例，而天基InSAR技术在工矿区大范围形变监测方面具有显著优势.以2018年1月至2019年8月间的43景C波段Sentinel-1B SAR数据为基础，通过时序InSAR技术对近距离多煤层开采的康平煤田进行了大范围沉降监测.以Okada模型为基础，结合近距离多煤层分布特征，采用叠加理论的原则，提出了一种基于多源模型的近距离多煤层参数反演方法.通过定量计算弹性半空间下双源模型和三源模型近距离多煤层参数反演的精度，发现三源模型精度更高，更符合小康矿近距离多煤层开采的实际特征.本研究可以为基于InSAR技术的近距离多煤层开采沉降监测及参数反演提供参考.

关键词: 近距离多煤层;参数反演;时序InSAR;多源Okada模型;形变模拟

Abstract: Ground subsidence caused by close multi-coalseam mining occupies a large proportion in current mining activities. Due to the significant advantages of space-based InSAR technique in large-scale deformation monitoring， the subsidence caused by the close multi-coalseam mining in Kangping coalfield was monitored based on the 43 scenes C-band Sentinel-1B SAR data from January 2018 to August 2019. Considering the distribution characteristics of the close multi-coalseam， a close multi-coalseam parameter inversion method using superposition theory based on multi-source Okada model was proposed. By quantitatively calculating the accuracy of inversion results of dual-source model and three-source model of close multi-coalseam in elastic half space， it is found that the three-source model has a higher accuracy， which is consistent with the actual characteristics of the close multi-coalseam of the Xiaokang mine. This study provides some references to the subsidence monitoring and parameter inversion of close multi-coalseam mining.

Key words: close multi-coalseam; parameter inversion; time series InSAR; multi-source Okada model; deformation modeling

中图分类号:

TD821
P237

刘翠芝，王兴杰，贺黎明，唐永亮. 基于时序InSAR技术的近距离多煤层参数反演方法[J]. 东北大学学报（自然科学版）, 2022, 43(6): 897-904.

LIU Cui-zhi， WANG Xing-jie， HE Li-ming， TANG Yong-liang. Parameter Inversion Method of Close Multi-coalseam Based on Time Series InSAR[J]. Journal of Northeastern University(Natural Science), 2022, 43(6): 897-904.

参考文献

[1]吴立新，高均海，葛大庆，等.工矿区地表沉陷D-InSAR监测试验研究［J］.东北大学学报(自然科学版)，2005，26(8):778-782.(Wu Li-xin，Gao Jun-hai，Ge Da-qing，et al.Experimental study on D-InSAR monitoring of surface subsidence in industrial and mining areas［J］.Journal of Northeastern University(Natural Science)，2005，26(8):778-782.)
[2]Samsonov S，D’Oreye N，Smets B.Ground deformation associated with post-mining activity at the French-German border revealed by novel InSAR time series method［J］.International Journal of Applied Earth Observation and Geoinformation，2013，23:142-154.
[3]Zhang B，Wu S，Ding X，et al.Use of multiplatform SAR imagery in mining deformation monitoring with dense vegetation coverage:a case study in the Fengfeng Mining Area，China［J］.Remote Sensing，2021，13:3091.
[4]Chen B，Mei H，Li Z，et al.Retrieving three-dimensional large surface displacements in coal mining areas by combining SAR pixel offset measurements with an improved mining subsidence model［J］.Remote Sensing，2021，13:2541.
[5]Lu Z，Wicks Jr C.Characterizing 6 August 2007 Crandall Canyon mine collapse from ALOS PALSAR InSAR ［J］.Geomatics，Natural Hazards & Risk，2010，1(1):85-93.
[6]Liao M，Zhang R，Lv J，et al.Subsidence monitoring of fill area in Yan’an new district based on Sentinel-1A time series imagery［J］.Remote Sensing，2021，13:3044.
[7]Guo L，Gong H，Ke Y，et al.Mechanism of land subsidence mutation in Beijing Plain under the background of urban expansion［J］.Remote Sensing，2021，13:3086.
[8]李全生，张忠温，南培珠.多煤层开采相互采动的影响规律［J］.煤炭学报，2006，31(4):425-428.(Li Quan-sheng，Zhang Zhong-wen，Nan Pei-zhu.Mining impact pattern of mutil-coal seam［J］.Journal of China Coal Society，2006，31(4):425-428.)
[9]张立亚，邓喀中.多煤层条带开采地表移动规律［J］.煤炭学报，2008，33(1):28-32.(Zhang Li-ya，Deng Ka-zhong.The law of surface movement for multi-coal seam strip mining［J］.Journal of China Coal Society，2008，33(1):28-32.)
[10]任文静，贾洪果，闫斌.SBAS-InSAR方法支持下的矿区地表沉降监测及参数反演［J］.测绘通报，2021(3):113-117，155.(Ren Wen-jing，Jia Hong-guo，Yan Bin，Monitoring and parameter inversion of ground subsidence in mining area based on SBAS-InSAR method［J］.Bulletin of Surveying and Mapping，2021(3):113-117，155.)
[11]Okada Y.Surface deformation due to shear and tensile faults in a half-space ［J］.International Journal of Rock Mechanics & Mining Sciences & Geomechanics Abstracts，1986，23(4):128.
[12]尹彬，胡祥云.非线性反演的贝叶斯方法研究综述［J］.地球物理学进展，2016，31(3):1027-1032.(Yin Bin，Hu Xiang-yun.Overview of nonlinear inversion using Bayesian method［J］.Progress in Geophysics，2016，31(3):1027-1032.)
[13]Bagnardi M，Hooper A.Inversion of surface deformation data for rapid estimates of source parameters and uncertainties:a Bayesian approach［J］.Geochemistry，Geophysics，Geosystems，2018，19(7):2194-2211.
[14]Jiang Y，González P J.Bayesian inversion of wrapped satellite interferometric phase to estimate fault and volcano surface ground deformation models［J］.Journal of Geophysical Research:Solid Earth，2020，125(5):e2019JB018313.
[15]Berardino P，Fornaro G，Lanari R，et al.A new algorithm for surface deformation monitoring based on small baseline SAR interferograms［J］.IEEE Transactions on Geoscience and Remote Sensing，2002，40(11):2375-2383.
[16]Usai S，Klees R.SAR interferometry on a very long time scale:a study of the interferometric characteristics of man-mad features［J］.IEEE Transactions on Geoscience and Remote Sensing，1999，37(4):2118-2123.
[17]He L，Wu L，Liu S，et al.Mapping two-dimensional deformation field time-series of large slope by coupling DInSAR-SBAS with MAI-SBAS［J］.Remote Sensing，2015，7(9):12440-12458.

基于时序InSAR技术的近距离多煤层参数反演方法

Parameter Inversion Method of Close Multi-coalseam Based on Time Series InSAR

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价