中阳县地处晋西黄土高原，地质资源的频繁开采和工程活动导致县区内滑坡、地面塌陷等地质灾害频发，严重威胁着当地居民的生产生活和经济的发展。因此，针对该区域开展滑坡灾害易发性评价，对防灾减灾具有重要意义。

合成孔径雷达干涉测量（Interferometric Synthetic Aperture Rader，InSAR）技术作为新型微波遥感对地观测技术，可以监测到地表微弱的形变，在滑坡、地震和地面塌陷等地质灾害的普查和监测方面发挥着重要的作用。本文以中阳县为研究区，利用小基线集干涉测量技术（SBAS-InSAR）提取滑坡形变点，在此基础上利用组合赋权信息量模型对研究区进行滑坡易发性评价，以提高评价结果的精准度，使评价结果更准确地反映实际情况。

本论文主要工作及研究成果如下：

（1）以2018年2月到2020年10月的Sentinel-1A升轨影像为数据集，利用SBAS-InSAR技术得到了中阳县地表沿雷达视线向形变速率。由于雷达视线方向形变与实际地形条件不符，将形变速率由雷达视线向转换为沿最大坡向。结合地质条件获取滑坡形变点，其分布特征符合中阳县实际情况。

（2）根据中阳县地质条件，构建滑坡易发性评价体系。选取高程、坡度、坡向、曲率、距水系距离、距道路距离、植被覆盖度、年降雨量、土地利用类型、土壤类型共10个指标因子并通过相关性分析。由组合赋权信息量模型评价结果可知，中阳县西部地区是滑坡灾害分布的聚集区，同时县境内东部、东南部道路和水系沿线为滑坡灾害聚集区。

（3）利用筛选后的SBAS年形变速率对滑坡易发性评价结果进行完善与验证，得到优化后的中阳县滑坡灾害易发性评价结果。将筛选后的滑坡形变点与优化后的评价结果叠加分析，表明形变点的分布与高和极高易发性分级区域的分布具有较高的一致性，表明年形变速率因子可提高滑坡易发性评价精度。

综上所述，本研究基于SBAS-InSAR技术对中阳县滑坡灾害易发性综合评价，研究结果表明中阳县区域高和极高易发性区域主要集中分布在西部地区，而东部地区较为稳定。以上研究结果为中阳县滑坡灾害的预防和治理提供理论依据，同时对中阳县当地居民生产生活以及地方经济的发展也具有重要的现实意义。

Zhongyang County is located on the Loess Plateau in western Shanxi Province, and the frequent exploitation of geological resources and engineering activities have led to the frequent occurrence of geological disasters such as landslides and ground subsidence in the county, which seriously threaten the production and life of local residents and the development of the economy. Therefore, it is important to carry out landslide hazard susceptibility evaluation for the region to prevent and reduce disasters.

Interferometric Synthetic Aperture Radar (InSAR) technology, as a new microwave remote sensing earth observation technology, can monitor weak surface deformation and plays an important role in the census and monitoring of geological hazards such as landslides, earthquakes and ground subsidence. In this paper, taking Zhongyang County as the study area, the small baseline set interferometry (SBAS-InSAR) technique is used to extract landslide deformation points, and on this basis, a combined weighted information quantity model is used to evaluate the landslide susceptibility of the study area in order to improve the accuracy of the evaluation results and make the evaluation results reflect the actual situation more accurately.The main work and findings of this thesis are as follows:

(1) Using the Sentinel-1A uplink images from February 2018 to October 2020 as the dataset, the deformation rate of the ground surface along the radar line of sight direction in Zhongyang County was obtained using SBAS-InSAR technique. Since the deformation in radar line of sight direction does not match with the actual topographic conditions, the deformation rate was converted from radar line of sight direction to along the maximum slope direction. The distribution characteristics of the landslide deformation points are consistent with the actual situation in Zhongyang County.

 (2) According to the geological conditions of Zhongyang County, the evaluation system of landslide susceptibility was constructed. A total of 10 index factors, including elevation, slope, slope direction, curvature, distance from water system, distance from road, vegetation cover, annual rainfall, land use type and soil type, are selected and analyzed by correlation. From the evaluation results of the combined weighted information model, it can be seen that the western part of Zhongyang County is the gathering area of landslide disaster distribution, while the eastern and southeastern parts of the county along the road and water system are the gathering areas of landslide disaster.

(3) The annual deformation rate of the screened SBAS was used to refine and verify the landslide susceptibility evaluation results, and the optimized landslide susceptibility evaluation results of Zhongyang County were obtained. The overlay analysis of the screened landslide deformation points and the optimized evaluation results shows that the distribution of deformation points has a high consistency with the distribution of high and very high susceptibility classification areas, indicating that the annual deformation rate factor can improve the accuracy of landslide susceptibility evaluation.

In summary, this study is a comprehensive evaluation of landslide hazard susceptibility in Zhongyang County based on SBAS-InSAR technology, and the results show that the regional high and very high susceptibility areas in Zhongyang County are mainly located in the western region, while the eastern region is more stable. The above research results provide a theoretical basis for the prevention and management of landslide hazards in Zhongyang County, and also have important practical significance for the production and life of local residents and the development of local economy in Zhongyang County.

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