张晓伦, 甘淑, 袁希平, 宗慧琳, 梁昌献, 赵振峰. 基于“天−空−地”一体化的东川区沙坝村滑坡体时序监测与分析[J]. 云南大学学报(自然科学版), 2022, 44(3): 533-540. doi: 10.7540/j.ynu.20210390
引用本文: 张晓伦, 甘淑, 袁希平, 宗慧琳, 梁昌献, 赵振峰. 基于“天−空−地”一体化的东川区沙坝村滑坡体时序监测与分析[J]. 云南大学学报(自然科学版), 2022, 44(3): 533-540. doi: 10.7540/j.ynu.20210390
ZHANG Xiao-lun, GAN Shu, YUAN Xi-ping, ZONG Hui-lin, LIANG Chang-xian, ZHAO Zhen-feng. Integrated space-air-ground time series monitoring and analysis for Shaba landslide in Dongchuan District[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(3): 533-540. DOI: 10.7540/j.ynu.20210390
Citation: ZHANG Xiao-lun, GAN Shu, YUAN Xi-ping, ZONG Hui-lin, LIANG Chang-xian, ZHAO Zhen-feng. Integrated space-air-ground time series monitoring and analysis for Shaba landslide in Dongchuan District[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(3): 533-540. DOI: 10.7540/j.ynu.20210390

基于“天−空−地”一体化的东川区沙坝村滑坡体时序监测与分析

Integrated space-air-ground time series monitoring and analysis for Shaba landslide in Dongchuan District

  • 摘要: 小江断裂带地质灾害频发,且大多处于山体高位并有植被覆盖,传统人工调查方法难以进行有效的排查与分析评估,区域内人民生命财产安全存在巨大安全隐患. 选取东川区沙坝村作为研究区域,利用SBAS-InSAR方法对历史影像进行处理得到区域时序性形变信息,采用无人机航空摄影测量方法获取滑坡体实景三维模型,人工进行实地地质灾害详查,通过“天‒空‒地”一体化的方法对沙坝村滑坡体进行多尺度、长时间序列地表形变监测与变化特征分析. 结果表明:①沙坝村滑坡体沿雷达视线方向(Line of Sight,LOS)年平均形变速率在‒4~26 mm/a之间,山体地形陡峭,有多处地区为已发崩塌点或存在潜在崩塌滑坡风险;②山坡中部的古崩塌体(体积约12 100 m3)及其周边均处于抬升状态,但上部抬升速率(11.98 mm/a)大于下部抬升速率速率(9.89 mm/a),年平均形变速率不一致,存在下滑风险;③利用SBAS-InSAR方法能够获取到山区地表宏观时序形变信息,对地质灾害进行早期识别,辅以无人机航空摄影测量构建区域实景三维,可提高传统地质灾害调查效率,同时可以追溯变形区域历史活动规律,为灾害评估提供重要数据支撑.

     

    Abstract: Geological disasters occur frequently in Xiaojiang fault zone, and most of them are in high areas and covered with vegetation; so it is difficult to effectively investigate, analyze and evaluate the disasters by traditional manual investigation means, and people's life and property safety in the areas is faced with huge security risks. Here, Shaba Village in Dongchuan District was selected as the study area. SBAS-InSAR method was used to process the historical images to obtain regional time series deformation information, and UAV(Unmanned Aerial Vehicle) aerial photogrammetry method was used to obtain the real three-dimensional model of landslide mass, and the UAV arrived at the geological hazards sites for detailed investigation. Multi-scale and long time series of surface deformation monitoring and change characteristics analysis were carried out through the space-air-ground integrated method. The results indicate that ① there may be a number of areas that had already collapsed or were at risk of potential landslides. The terrain of Shaba Village is steep, and the annual deformation rate of landslide mass along the radar line of sight is between ‒4~26 mm/a. ② The ancient collapsed body in the middle of the hillside and its surrounding areas have a sliding risk, since they both are in an uplifting state, the uplift rate of the upper part (11.98 mm/a) is greater than that of the lower(9.89 mm/a), and the annual deformation rate is inconsistent. ③ The macroscopic time series deformation information of mountainous surface can be obtained through the SBAS-InSAR method, which can be used for early identification of geological hazards. Besides, the efficiency of traditional geological disaster investigation can be improved aided by UAV aerial photogrammetry to build a real three-dimensional model. Meanwhile, this method can trace the historical activity law of the deformed area, and provide important data support for disaster assessment.

     

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