基于地基真实孔径雷达的边坡动态监测研究与应用
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摘要
滑坡是仅次于地震的发生最频繁、造成损失最严重的地质灾害之一,给人民群众生命和财产安全带来了巨大威胁。为了能够对危险滑坡进行动态监测,采用GPRI-II地基雷达系统,研究了滑坡形变时序分析关键技术,制定了地基雷达数据时序处理流程,并应用于浙江绍兴某道路边坡稳定性监测。实验结果表明,该边坡存在1处明显的形变区域,位于施工现场堆积区,最大形变量达到3.5 mm/d。目前在观测条件满足的情况下,地基雷达可以达到亚毫米级的形变监测能力,已经成为灾害预警和治理的重要手段之一。
Landslide is the second only to earthquake as one of the most serious geological hazards, which occur most frequently and cause the most serious losses. It poses a great threat to people's lives and property safety. In order to monitor dangerous landslides dynamically, GPRI-II ground-based radar system is used in this experiment to study the key technology of landslide deformation time series analysis, and the main process of ground-based radar data time series processing is formulated. It is applied to the stability monitoring of a road slope in Shaoxing, Zhejiang Province. The experimental results show that there is an obvious deformation area in the slope, which is located in the accumulation area of the construction site, and the maximum deformation is 3.5 mm/d. At present, ground-based radar has the ability to monitor deformation with sub-millimeter accuracy when the observation conditions are satisfied. Ground-based radar has become one of the important means of disaster early warning and control.
Landslide is the second only to earthquake as one of the most serious geological hazards, which occur most frequently and cause the most serious losses. It poses a great threat to people's lives and property safety. In order to monitor dangerous landslides dynamically, GPRI-II ground-based radar system is used in this experiment to study the key technology of landslide deformation time series analysis, and the main process of ground-based radar data time series processing is formulated. It is applied to the stability monitoring of a road slope in Shaoxing, Zhejiang Province. The experimental results show that there is an obvious deformation area in the slope, which is located in the accumulation area of the construction site, and the maximum deformation is 3.5 mm/d. At present, ground-based radar has the ability to monitor deformation with sub-millimeter accuracy when the observation conditions are satisfied. Ground-based radar has become one of the important means of disaster early warning and control.
引文
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[18]Caduff R,Schlunegger F,Kos A,et al.A Review of Terrestrial Radar Interferometry for Measuring Surface Change in the Geosciences[J].Earth Surface Processes and Landforms,2015,40(2):208-228
[19]Cui Xiai,Zeng Qiming,Tong Qingxi,et al.Overview of the Atmospheric Correction Methods in Repeat-Pass InSAR Measurements[J].Remote Sensing Technology and Application,2014,29(1):9-17(崔喜爱,曾琪明,童庆禧,等.重轨星载InSAR测量中的大气校正方法综述[J].遥感技术与应用,2014,29(1):9-17)
[20]Liu Bin,Ge Daqing,Zhang Ling,et al.Application of Monitoring Stability After Landslide Based on Ground-Based InSAR[J].Journal of Geodesy and Geodynamics,2016,36(8):674-677,693(刘斌,葛大庆,张玲,等.地基雷达干涉测量技术在滑坡灾后稳定性评估中的应用[J].大地测量与地球动力学,2016,36(8):674-677,693)
[21]Li Cong,Zhu Jiebing,Wang Bin,et al.Critical Deformation Velocity of Landslide in Different Deformation Phases[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(7):1 407-1 414(李聪,朱杰兵,汪斌,等.滑坡不同变形阶段演化规律与变形速率预警判据研究[J].岩石力学与工程学报,2016,35(7):1 407-1 414)
[2]Wang Guoquan.GPS Landslide Monitoring:Single Base vs Network Solutions-A Case Study Based on the Puerto Rico and Virgin Islands Permanent GPSNetwork[J].Journal of Geodetic Science,2011,1(3):191-203
[3]Artese G,Perrelli M,Artese S,et al.Geomatics Activities for Monitoring the Large Landslide of Maierato,Italy[J].Applied Geomatics,2015,7(3):171-188
[4]Hervás J,Barredo J I,Rosin P L,et al.Monitoring Landslides from Optical Remotely Sensed Imagery:The Case History of Tessina Landslide,Italy[J].Geomorphology,2003,54(1-2):63-75
[5]Prokop A,Panholzer H.Assessing the Capability of Terrestrial Laser Scanning for Monitoring Slow Moving Landslides[J].Natural Hazards and Earth System Sciences,2009,9(6):1 921-1 928
[6]Li Zhongbin,Shi Wenzhong,Lu Ping,et al.Landslide Mapping from Aerial Photographs Using Change Detection-Based Markov Random Field[J].Remote Sensing of Environment,2016,187:76-90
[7]Alba M,Bernardini G,Giussani A,et al.Measurement of Dam Deformations by Terrestrial Interferometric Techniques[J].Remote Sensing and Spatial Information Sciences,2008,37(1 374):133-139
[8]Tarchi D,Casagli N,Fanti R,et al.Landslide Monitoring by Using Ground-Based SAR Interferometry:An Example of Application to the Tessina Landslide in Italy[J].Engineering Geology,2003,68(1-2):15-30
[9]Noferini L,Mecatti D,Macaluso G,et al.Monitoring of Belvedere Glacier Using a Wide Angle GB-SAR Interferometer[J].Journal of Applied Geophysics,2009,68(2):289-293
[10]Pieraccini M,Parrini F,Fratini M,et al.Static and Dynamic Testing of Bridges Through Microwave Interferometry[J].Ndt&E International,2007,40(3):208-214
[11]Liu Bin,Ge Daqing,Li Man,et al.Ground-Based Interferometric Synthetic Aperture Radar and Its Applications[J].Remote Sensing for Land&Resources,2017,29(1):1-6(刘斌,葛大庆,李曼,等.地基合成孔径雷达干涉测量技术及其应用[J].国土资源遥感,2017,29(1):1-6)
[12]Osmanoˇglu B,Dixon T H,Wdowinski S,et al.Mexico City Subsidence Observed with Persistent Scatterer InSAR[J].International Journal of Applied Earth Observation and Geoinformation,2011,13(1):1-12
[13]Wang H,Wright T J,Biggs J.Interseismic Slip Rate of the Northwestern Xianshuihe Fault from InSAR Data[J].Geophysical Research Letters,2009,36(3):139-145
[14]Li Yongsheng,Zhang Jingfa,Li Zhenhong,et al.Land Subsidence in Beijing City from InSAR Time Series Analysis with Small Baseline Subset[J].Geomatics and Information Science of Wuhan University,2013,38(11):1 374-1 377(李永生,张景发,李振洪,等.利用短基线集干涉测量时序分析方法监测北京市地面沉降[J].武汉大学学报·信息科学版,2013,38(11):1 374-1 377)
[15]Monserrat O,Crosetto M,Luzi G.A Review of Ground-Based SAR Interferometry for Deformation Measurement[J].ISPRS Journal of Photogrammetry&Remote Sensing,2014,93(7):40-48
[16]Liu Bin,Ge Daqing,Li Man,et al.Using GroundBased InSAR to Evaluate the Stability of an Openpit Slope Blasting Operation[J].Journal of Remote Sensing,2017,22(s1):139-145(刘斌,葛大庆,李曼,等.地基InSAR评估爆破作业对露天采矿边坡的稳定性影响[J].遥感学报,2017,22(s1):139-145)
[17]Chao C F,Chen K S,Lee J S.Refined Filtering of Interferometric Phase from InSAR Data[J].IEEETransactions on Geoscience and Remote Sensing,2013,51(12):5 315-5 323
[18]Caduff R,Schlunegger F,Kos A,et al.A Review of Terrestrial Radar Interferometry for Measuring Surface Change in the Geosciences[J].Earth Surface Processes and Landforms,2015,40(2):208-228
[19]Cui Xiai,Zeng Qiming,Tong Qingxi,et al.Overview of the Atmospheric Correction Methods in Repeat-Pass InSAR Measurements[J].Remote Sensing Technology and Application,2014,29(1):9-17(崔喜爱,曾琪明,童庆禧,等.重轨星载InSAR测量中的大气校正方法综述[J].遥感技术与应用,2014,29(1):9-17)
[20]Liu Bin,Ge Daqing,Zhang Ling,et al.Application of Monitoring Stability After Landslide Based on Ground-Based InSAR[J].Journal of Geodesy and Geodynamics,2016,36(8):674-677,693(刘斌,葛大庆,张玲,等.地基雷达干涉测量技术在滑坡灾后稳定性评估中的应用[J].大地测量与地球动力学,2016,36(8):674-677,693)
[21]Li Cong,Zhu Jiebing,Wang Bin,et al.Critical Deformation Velocity of Landslide in Different Deformation Phases[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(7):1 407-1 414(李聪,朱杰兵,汪斌,等.滑坡不同变形阶段演化规律与变形速率预警判据研究[J].岩石力学与工程学报,2016,35(7):1 407-1 414)