Surface Deformation Monitoring and Mining Parameters Inversion of Puhe Coal Mine Goaf Based on DS-InSAR

doi:10.12068/j.issn.1005-3026.2024.06.015

Abstract

Abstract:

Interferometic synthetic aperture radar （InSAR） technology has shown great application potential in monitoring geological disasters in mining areas. However， it is difficult for conventional time?series InSAR technology to detect enough radar targets in mining areas covered by vegetation， which causes underestimation or inaccurate estimation of deformation results. Aiming at the scarcity of measurement points in complex mining areas， the distributed scatterer InSAR analysis method can effectively increase the number of measurement points in the vegetation covered area， thereby accurately describing the temporal evolution and spatial distribution characteristics of deformation in mining areas. The long?term and high?intensity mining activities will cause the surface deformation of the goaf， posing serious threats to sustainable mining， infrastructure construction and the safety of lives and property. In order to understand the mining situation in the goaf of Puhe Coal Mine in Shenyang， based on InSAR high?precision monitoring data， the key underground mining parameters in the mine area are obtained through geophysical modeling inversion. The deformation field simulated based on the optimal parameters is consistent with the InSAR monitoring results， and the inversion mining parameters conform to the actual mining situation. Combining InSAR monitoring results with Okada model to invert mining area parameters can truly reflect the actual mining situation， accurately describe the surface deformation of goaf， and provide important information for scientific formulation of underground mining plans and sustainable development of the mining area.

Key words: ground subsidence in mining area, interferometry synthetic aperture radar, distributed scatterer, geophysical modeling, deformation monitoring

CLC Number:

TP 722.6

Meng AO, Ying SUN, Lian-huan WEI, Hua-nan ZHANG. Surface Deformation Monitoring and Mining Parameters Inversion of Puhe Coal Mine Goaf Based on DS-InSAR[J]. Journal of Northeastern University(Natural Science), 2024, 45(6): 866-873.

Figures/Tables 12

Fig.1 Photos of on?site investigation

Table 1 Parameter list of SAR data

数据集	TerraSAR-X
轨道方向	升轨
模式	SM
获取时间	20150825—20170421
影像数/景	27
波长/m	0.031
入射角/（°）	23.9
方位角/（°）	348.71
极化方式	HH
分辨率/m（距离向/方位向）	2.89/3.30

Fig.2 Illustration of temporal?spatial baseline distribution

Fig.3 Coverage of SAR dataset

Fig.4 Flowchart of DS-InSAR data processing

Fig.5 Geometry of Okada model

Fig.6 Multi?image mean intensity map and number of SHP identified of study area

Fig.7 Annual deformation rate results of Puhe Coal Mine

Fig.8 Deformation along profile of Puhe Coal Mine

Fig.9 Time series of different MPs

Table 2 Optimal parameters of Okada inversion model

反演参数	源位置X/m	源位置Y/m	长度/m	宽度/m	深度/m	张量/m	走向/（°）
最优估值	571	248	1 092	1 216	519	-0.07	31

Fig.10 Deformation field of Okada model based on DS-InSAR results

References 31

1	刘善军，吴立新，毛亚纯，等.天-空-地协同的露天矿边坡智能监测技术及典型应用［J］.煤炭学报，2020，45（6）：2265-2276.
	Liu Shan‑jun， Wu Li‑xin， Mao Ya‐chun，et al.Spaceborne‐airborne‑ground collaborated intelligent monitoring on open‑pit slope and its typical applications［J］.Journal of China Coal Society，2020，45（6）：2265-2276.
2	廖明生，王腾.时间序列InSAR技术与应用［M］.北京：科学出版社，2014.
	Liao Ming‑sheng， Wang Teng.Time series InSAR technology and application［M］.Beijing：Science Press，2014.
3	Perski Z， Jura D.ERS SAR interferometry for land subsidence detection in coal mining areas［J］.Earth Observation Quarterly，1999（63）：25-29.
4	Wegmüller U， Strozzi T， Werner C，et al.Monitoring of mining‑induced surface deformation in the Ruhrgebiet （Germany） with SAR interferometry［C］//IEEE International Geoscience & Remote Sensing Symposium.Honolulu：IEEE，2000：2771-2773.
5	Raucoules D， Maisons C， Carnec C，et al.Monitoring of slow ground deformation by ERS radar interferometry on the Vauvert salt mine （France）：comparison with ground‐based measurement［J］.Remote Sensing of Environment，2003，88（4）：468-478.
6	Ng A H M， Chang H C， Ge L，et al.Assessment of radar interferometry performance for ground subsidence monitoring due to underground mining［J］.Earth Planets and Space，2009，61（6）：733-745.
7	Walter D， Hoffmann J， Kampes B，et al.Radar interferometric analysis of mining induced surface subsidence using permanent scatterer［C］//Proceedings ESA ENVISAT Symposium.Freiberg，2004：6-10.
8	Jung H C， Kim S W， Jung H S，et al.Satellite observation of coal mining subsidence by persistent scatterer analysis［J］.Engineering Geology，2007，92（1）：1-13.
9	Guéguen Y， Deffontaines B， Fruneau B，et al.Monitoring residual mining subsidence of Nord/Pas‐de‐Calais coal basin from differential and Persistent Scatterer Interferometry （Northern France）［J］.Journal of Applied Geophysics，2009，69（1）：24-34.
10	Nadudvari A.Using radar interferometry and SBAS technique to detect surface subsidence relating to coal mining in Upper Silesia from 1993—2000 and 2003—2010［J］.Environmental &Socio-economic Studies，2016，4（1）：24-34.
11	Pawluszek‐Filipiak K， Borkowski A.Integration of DInSAR and SBAS techniques to determine mining‑related deformations using sentinel‑1 data：the case study of rydutowy mine in poland［J］.Remote Sensing，2020，12（2）：242.
12	赵喜江，王斌，张在岩.基于SBAS‐InSAR技术的鹤岗矿区地表沉降监测与分析［J］.黑龙江科技大学学报，2019，29（1）：66-70.
	Zhao Xi‑jiang， Wang Bin， Zhang Zai‑yan.Monitoring and analysis of surface subsidence in Hegang mining area using SBAS‑InSAＲ technology［J］.Journal of Heilongjiang University of Science ＆ Technology，2019，29（1）：66-70.
13	Xing X M， Zhu J J， Wang Y Z，et al.Time series ground subsidence inversion in mining area based on CRInSAR and PSInSAR integration［J］.Journal of Central South University，2013，20（9）：2498-2509.
14	Lu Z， Wicks C.Characterizing 6 august 2007 Crandall Canyon mine collapse from ALOS PALSAR InSAR［J］.Geomatics，Natural Hazards and Risk，2010，1（1）：85-93.
15	田文涛.时序InSAR技术用于神东矿区塌陷的监测研究［D］.西安：长安大学，2019.
	Tian Wen‑tao.Monitoring of Subsidence of shendong mining area by time series InSAR technology［D］.Xi’an： Chang’an University，2019.
16	刘一霖.黄河三角洲地面沉降时序InSAR技术监测与地下流体开采相关性分析［D］. 青岛：中国科学院研究生院（海洋研究所），2016.
	Liu Yi‐lin.Land subsidence monitoring and correlation analysis with ground fluid exploitation using time series InSAR technique［D］.Qingdao：Institute of Oceanology，Chinese Academy of Sciences，2016.
17	杨崇，刘国祥，于冰，等.基于InSAR形变的辽河油田曙光采油厂储层参数反演［J］.国土资源遥感，2020，32（1）：209-215.
	Yang Chong， Liu Guo‑Xiang， Yu Bing，et al.Inversion of reservoir parameters in Shuguang Oil Production Plant of the Liaohe Oilfield based on InSAR deformation［J］.Remote Sensing for Land and Resources，2020，32（1）：209-215.
18	Dai Y， Ng H M， Wang H，et al.Modeling‑assisted InSAR phase‐unwrapping method for mapping mine subsidence［J］.IEEE Geoscience and Remote Sensing Letters，2020（99）：1-5.
19	Dong J， Zhang L， Tang M G，et al.Mapping landslide surface displacements with time series SAR interferometry by combining persistent and distributed scatterers：a case study of Jiaju landslide in Danba，China［J］.Remote Sensing of Environment，2018，205：180-198.
20	尹璟友.沈北矿区深部煤巷破坏机理及支护对策研究［D］.北京：中国矿业大学（北京），2012.
	Yin Jing‐you.Failure mechanism and supporting measures of deep coal roadway in Shenbei Mining Area［D］.Beijing：China University of Mining and Technology （Beijing），2012.
21	Ferretti A， Prati C， Rocca F.Permanent scatterers in SAR interferometry［J］.Geoscience and Remote Sensing，2001，39（1）：8-20.
22	Berardino P， Fornaro G， Lanari R，et al.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms［J］.Geoscience and Remote Sensing，2002，40（11）：2375-2383.
23	Strozzi T， Farina P， Corsini A，et al.Survey and monitoring of landslide displacements by means of L‑band satellite SAR interferometry［J］.Landslides，2005，2（3）：193-201.
24	Hooper A， Zebker H， Segall P，et al.A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers［J］.Geophysical Research Letters，2004，31（23）：L23611.
25	Lee J S， Pottier E.Polarimetric radar imaging：from basics to applications［M］.Boca Raton，FL：CRC Press，2009：53-60.
26	Ferretti A， Fumagalli A， Novali F，et al.A new algorithm for processing interferometric data‐stacks：SqueeSAR［J］.IEEE Transactions on Geoence & Remote Sensing，2011，49（9）：3460-3470.
27	敖萌.复杂山区大型滑坡表面形变时序InSAR监测方法研究［D］.武汉：武汉大学，2020.
	Ao Meng.Monitoring Large‐scale landslide displacements in complicated mountainous areas with time series InSAR［D］.Wuhan：Wuhan University，2020.
28	Guarnieri A M， Tebaldini S.On the exploitation of target statistics for SAR interferometry applications［J］.IEEE Transactions on Geoence & Remote Sensing，2008，46（11）：3436-3443.
29	Okada Y.Surface deformation due to shear and tensile faults in a halfspace［J］.Bulletin of the Seismological Society of America，1985，75（4）：1135-1154.
30	陈天宇，冯夏庭，梁冰，等.煤层气藏地面勘探开发选区灰色模糊评价［J］.东北大学学报（自然科学版），2013，34（3）：429-433.
	Chen Tian‐yu， Feng Xia‐ting， Liang Bing，et al.Grey fuzzy evaluation of CBM decelopment and area selection［J］.Journal of Northeastern University （Natural Science），2013，34（3）：429-433.
31	徐厚生，王继春.基于高光谱技术的一种TPC-TELM模型应用于土壤重金属含量反演研究［J］.沈阳农业大学学报，2023，54（2）：224-230.
	Xu Hou‑sheng， Wang Ji‑chun.An improved TPC‑TELM model based on the hyperspectral technique applied to soil heavy metal content inversion study［J］.Journal of Shenyang Agricultural University，2023，54（2）：224-230.

[1]	WEI Lian-huan， FENG Qiu-yue， MAO Ya-chun， LIU Shan-jun. Deformation Monitoring of High Steep Slope in Open-Pit Mine with Multi-Orbit SBAS [J]. Journal of Northeastern University Natural Science, 2020, 41(10): 1445-1451.
[2]	WANG Yun-sen， LI Yuan-hui， XU Shuai. Development of Three-Dimensional Dynamic Visualization System for Laneway Convergence Monitoring [J]. Journal of Northeastern University Natural Science, 2017, 38(1): 116-120.