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DEFORMATION ANALYSIS OF WODA VILLAGE OLD LANDSLIDE IN JINSHA RIVER BASIN USING SBAS-INSAR TECHNOLOGY
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摘要: 近年来突发性高位滑塌灾害日益频发，造成恶劣影响。这类地质灾害调查难度高、隐蔽性强，单靠群测群防和地质调查难以解决灾害的防治问题。随着雷达遥感卫星数据质量的不断提升，合成孔径干涉雷达测量(InSAR)中的SBAS-InSAR技术为特大型老滑坡灾前形变探测提供了新的技术途径。利用SBAS-InSAR技术对金沙江流域沃达村滑坡进行地表形变监测，获取了2017年3月30日至2019年9月28日内的形变结果，划定了强烈形变区(Ⅰ雷达)、均匀形变区(Ⅱ雷达)，分析了滑坡复活区整体和局部滑塌地表形变速率、累积位移变化趋势和主裂缝形变情况。同时实地进行了工程地质调查和复核，发现老滑坡复活区变形迹象与SBAS-InSAR技术解译成果有着较好的一致性。表明SBAS-InSAR技术在复杂山区地质灾害监测预警领域有较为广阔的应用前景，为类似老滑坡监测预警提供了新的思路与借鉴。
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关键词:
- 沃达村 /
- 老滑坡 /
- SBAS-InSAR /
- 形变分析 /
- 复核验证
Abstract: In recent years, unexpected high-level landslides have been increasing, resulting in adverse effects. This kind of geological hazard investigation is very difficult and concealed. It is difficult to solve the problem of disaster prevention and control by group survey and geological investigation alone. With the continuous improvement of the quality of radar remote sensing satellite data, the SBAS-InSAR technology in synthetic aperture Interferometric Radar(InSAR)provides a new technical approach for deformation detection of large-scale old landslides before disaster. The surface deformation of Wodacun landslide in Jinsha River Basin is monitored by SBAS-InSAR technology. The deformation results from March 30, 2017 to September 28, 2019 are obtained. Strong deformation area(Ⅰradar) and uniform deformation area(Ⅱradar) are delineated. The surface deformation rate, cumulative displacement trend and main crack deformation of the whole and local landslide in the revived area are analyzed. At the same time, the engineering geological survey and review are carried out on the spot. It is found that the resurrection and deformation signs of the old landslide are in good agreement with the interpretation results of the SBAS-InSAR technology. It is clear that the SBAS-InSAR technology has broad application prospects in the field of early warning and monitoring of geological disasters in complex mountain areas, and provides new ideas and references for monitoring and early warning similar to old landslides.-
Key words:
- Woda village /
- Old landslide /
- SBAS-InSAR /
- Deformation analysis /
- Verification
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图 7 雷达视线方向和坡度方向几何示意图(Cascini et al., 2010)
Figure 7. Geometric sketches of radar line- of -sight direction and slope direction(Cascini et al., 2010)
图 8 2017年3月～2019年9月形变速率图(LOS方向)
Figure 8. Deformation rate map from March 2017 to September 2019(LOS Direction)
图 9 2017年3月~2019年9月形变速率图(Slope方向)
Figure 9. Deformation rate map from March 2017 to September 2019(Slope Direction)
图 10 2017年3月~2019年9月形变速率图(Vertical方向)
Figure 10. Deformation rate map from March 2017 to September 2019(Vertical Direction)
图 13 2017年3~12月形变速率及剖面形变图
Figure 13. Deformation rate and profile deformation map from March to December 2017
图 15 2019年1~9月形变速率及剖面形变图
Figure 15. Deformation rate and profile deformation map from January to September 2019
图 16 H01变形体SBAS-InSAR监测与野外现象对比
Figure 16. Comparison of SBAS-InSAR monitoring data of H01 landslide with field review
表 1 沃达村滑坡Sentinel 1A数据列表
Table 1. Data list of sentinel 1 in Dawo Village landslide
序号 成像时间 成像
模式极化
方式累积时
间基线
/d累积空
/m1 20170330 IW VV 0 0 2 20170423 IW VV 24 -46.119 3 20170517 IW VV 48 -50.186 4 20170610 IW VV 72 77.826 5 20170704 IW VV 96 40.558 6 20170809 IW VV 132 -10.291 7 20170902 IW VV 156 -39.573 8 20170926 IW VV 180 -50.931 9 20171020 IW VV 204 114.923 10 20171113 IW VV 228 -24.411 11 20171207 IW VV 252 50.346 12 20171231 IW VV 276 63.293 13 20180124 IW VV 300 -165.698 14 20180217 IW VV 324 27.433 15 20180313 IW VV 348 30.264 16 20180406 IW VV 372 -6.096 17 20180430 IW VV 396 23.623 18 20180524 IW VV 420 -147.052 19 20180617 IW VV 444 116.508 20 20180711 IW VV 468 43.829 21 20180723 IW VV 492 -86.624 22 20180816 IW VV 516 -15.263 23 20180909 IW VV 540 64.119 24 20181003 IW VV 564 -43.180 25 20181027 IW VV 588 35.953 26 20181120 IW VV 612 26.433 27 20181214 IW VV 636 -18.007 28 20190107 IW VV 660 31.303 29 20190131 IW VV 684 -57.897 30 20190224 IW VV 708 -62.838 31 20190320 IW VV 732 61.137 32 20190413 IW VV 756 -40.041 33 20190507 IW VV 780 81.387 34 20190531 IW VV 804 -93.348 35 20190624 IW VV 828 27.419 36 20190718 IW VV 852 18.360 37 20190811 IW VV 876 -105.069 38 20190904 IW VV 900 36.953 39 20190928 IW VV 924 41.097 
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