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基于DEM和遥感的黄土地质灾害精细化风险识别——以陕北黄土高原区米脂县为例

薛强, 张茂省, 董英, 孟晓捷, 郭小鹏, 冯卫, 洪勃, 王涛, 刘文辉, 田中英, 张戈, 卢娜. 2023. 基于DEM和遥感的黄土地质灾害精细化风险识别——以陕北黄土高原区米脂县为例[J]. 中国地质, 50(3): 926-942. doi: 10.12029/gc20220801001
引用本文: 薛强, 张茂省, 董英, 孟晓捷, 郭小鹏, 冯卫, 洪勃, 王涛, 刘文辉, 田中英, 张戈, 卢娜. 2023. 基于DEM和遥感的黄土地质灾害精细化风险识别——以陕北黄土高原区米脂县为例[J]. 中国地质, 50(3): 926-942. doi: 10.12029/gc20220801001
XUE Qiang, ZHANG Maosheng, DONG Ying, MENG Xiaojie, GUO Xiaopeng, FENG Wei, HONG Bo, WANG Tao, LIU Wenhui, TIAN Zhongying, ZHANG Ge, LU Na. 2023. Refinement risk identification of loess geo-hazards based on DEM and remote sensing——Taking Mizhi County in the Loess Plateau of Northern Shaanxi as an example[J]. Geology in China, 50(3): 926-942. doi: 10.12029/gc20220801001
Citation: XUE Qiang, ZHANG Maosheng, DONG Ying, MENG Xiaojie, GUO Xiaopeng, FENG Wei, HONG Bo, WANG Tao, LIU Wenhui, TIAN Zhongying, ZHANG Ge, LU Na. 2023. Refinement risk identification of loess geo-hazards based on DEM and remote sensing——Taking Mizhi County in the Loess Plateau of Northern Shaanxi as an example[J]. Geology in China, 50(3): 926-942. doi: 10.12029/gc20220801001

基于DEM和遥感的黄土地质灾害精细化风险识别——以陕北黄土高原区米脂县为例

  • 基金项目:
    国家自然科学基金重点项目(41731289)及中国地质调查局项目(DD20221739)联合资助
详细信息
    作者简介: 薛强,男,1979年生,正高级工程师,主要从事地质灾害调查与研究工作;E-mail: xqiang@mail.cgs.gov.cn
  • 中图分类号: P694

Refinement risk identification of loess geo-hazards based on DEM and remote sensing——Taking Mizhi County in the Loess Plateau of Northern Shaanxi as an example

  • Fund Project: Supported by National Natural Science Foundation of China Key Program (No.41731289) and the project of China Geological Survey (No.DD20221739)
More Information
    Author Bio: XUE Qiang, male, born in 1979, senior engineer, mainly engaged in geo-hazards investigation and research; E-mail: xqiang@mail.cgs.gov.cn .
  • 研究目的

    黄土高原是中国地质灾害最严重的地区之一,精细化识别地质灾害隐患,掌握地质灾害风险底数,是有效精准防控黄土地质灾害的关键。

    研究方法

    本文以陕北黄土高原区米脂县为例,基于2 m×2 m精度DEM数据识别崩塌滑坡易发坡段,采用0.2 m分辨率遥感数据识别危险坡段,以自然村为单元实地调查危险坡段并评价其风险,通过递进的方式开展了黄土地质灾害隐患识别、调查和评价,构建了县域尺度黄土地质灾害精细化风险识别技术方法体系。

    研究结果

    结果表明:(1)米脂县共识别坡度大于40°、坡高大于20 m的崩塌滑坡易发坡段44716个,识别有威胁对象的危险坡段4198个;(2)通过风险识别、实地调查和评价,摸清了米脂县地质灾害隐患风险底数,米脂县共发育地质灾害风险点4406处,其中极高风险点11处、高风险点304处、中风险点1451处、低风险点2640处;(3)DEM和遥感识别风险点3880处,占风险点总数的88.06%,识别正确率92.42%;(4)2022年7—8月,米脂县人口居住区共有36处地质灾害风险点发生灾情或险情,全部位于本次风险识别范围之内,其中极高风险2处、高风险28处、中风险5处、低风险1处,极高风险点发生灾险情比例为18.18%,高风险点发生灾险情比例为9.21%,风险识别结果得到了有效验证。

    结论

    研究成果显著减轻了米脂县地质灾害造成的损失,为黄土地质灾害有效精准防控提供了科学依据。

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  • 图 1  不同坡度区间发生黄土崩塌滑坡的比率

    Figure 1. 

    图 2  不同坡高区间发生黄土崩塌滑坡的比率

    Figure 2. 

    图 3  基于DEM和遥感的崩塌滑坡地质灾害精细化风险识别方法流程

    Figure 3. 

    图 4  典型地段基于DEM和遥感影像的地质灾害风险识别过程图

    Figure 4. 

    图 5  米脂县基于DEM的崩塌滑坡易发坡段识别结果图

    Figure 5. 

    图 6  基于遥感的危险坡段识别图

    Figure 6. 

    图 7  米脂县基于遥感的危险坡段识别结果

    Figure 7. 

    图 8  野外判断斜坡危险程度典型斜坡段

    Figure 8. 

    图 9  米脂县斜坡危险程度分布图

    Figure 9. 

    图 10  米脂县地质灾害风险点分布图

    Figure 10. 

    图 11  总风险点按识别类型划分

    Figure 11. 

    图 12  极高、高风险点按识别类型划分

    Figure 12. 

    图 13  按危险程度划分

    Figure 13. 

    图 14  按风险等级划分

    Figure 14. 

    图 15  按灾害类型划分

    Figure 15. 

    表 1  地质灾害风险评价分级

    Table 1.  Risk assessment grading scale of geo-hazard

    下载: 导出CSV

    表 2  米脂县2022年7—8月强降雨诱发典型地质灾害一览

    Table 2.  Typical geological hazards induced by heavy rainfall in Mizhi county from July to August 2022

    下载: 导出CSV
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出版历程
收稿日期:  2022-08-01
修回日期:  2022-10-17
刊出日期:  2023-06-25

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