| InSAR技术和孕灾背景指标相结合的地灾隐患识别 |
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| 引用本文： | 董佳慧,牛瑞卿,亓梦茹,丁赞,徐航,何睿.InSAR技术和孕灾背景指标相结合的地灾隐患识别[J].地质科技通报,2022,41(2):187-196. |
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| 作者姓名： | 董佳慧 牛瑞卿 亓梦茹 丁赞 徐航 何睿 |
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| 基金项目： | 2019年中央自然灾害防治体系建设补助资金项目"恩施州重大隐患区区域综合遥感监测与隐患识别"HBYM-GTJ-2020-GK-1002中国地质调查局武汉地质调查中心项目"三峡库区专业监测建设和预警分析指导"0001212012AC50021 |
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| 摘 要： | 合成孔径雷达干涉测量(interferometric synthetic aperture radar, 简称InSAR)是获取地表形变的重要手段, 由于InSAR数据获取的限制和数据处理中产生的精度误差等问题, 在地灾隐患识别方面的工作还需要联合地质灾害本身进行分析。为此提出了一种基于InSAR技术与研究区孕灾背景指标相结合的方法, 并将其应用于三峡库区巴东段的地灾隐患识别研究中。研究结果表明, 使用ALOS-2 PALSAR雷达影像, 应用时序InSAR技术得到了研究区的变形空间分布和变化速率, 并结合研究区的孕灾背景, 将易发性等级、坡度、工程岩组和是否与灾害目录重叠4个指标作为地灾隐患判别的指标, 综合识别出19处疑似地灾隐患区, 然后对疑似地灾隐患区进行了逐一野外核查, 经验证地灾隐患识别成功率为78.9%。研究成果证明了将InSAR技术和孕灾背景相结合进行地灾隐患识别方法的可行性, 可在区域灾害识别中发挥重要作用。
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| 关 键 词： | 地质灾害隐患识别 InSAR ALOS-2 孕灾背景指标 巴东 |
| 收稿时间： | 2021-05-13 |
Identification of geological hazards based on the combination of InSAR technology and disaster background indicators |
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| Abstract: | Synthetic aperture radar interferometry (InSAR) is an important method to obtain surface deformation information. Due to the limitations of InSAR data acquisition and the accuracy errors produced in the data processing, the identification of hidden dangers also needs to be combined with the analysis of geological hazards themselves, so a method based on InSAR technology combined with the disaster-pregnancy background in the study area is proposed. This study took the Badong section of the Three Gorges Reservoir area as the study area, and ALOS-2 PALSAR radar images were used to obtain the spatial distribution and change rate of deformation in the study area by using time-series InSAR technology. Combining the disaster-prone background of the study area, four indicators of the susceptibility level, slope, engineering rock group and distance from the disaster catalogue point are used as indicators for the identification of hidden dangers of geological disasters. As a result, 19 suspected hidden disaster areas were identified comprehensively, and then the suspected hidden geological disaster areas were verified in the field one by one. The success rate of verification and identification was 78.9%, proving that the method combining the disaster pregnancy background and InSAR results is feasible and can play an important role in regional disaster identification. |
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