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Volume 44 Issue 4
Aug.  2025
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Article Navigation >  CARSOLOGICA SINICA  > 2025  >  44(4): 815-827
YANG Yingdong, YANG Zhongbao, WEI Lei, ZHAO Peng, LUO Zeyang. Establishment of comprehensive remote sensing interpretation markers for geological hazards in Xuanwei City and evaluation of their application effectiveness[J]. CARSOLOGICA SINICA, 2025, 44(4): 815-827. doi: 10.11932/karst20250411
Citation: YANG Yingdong, YANG Zhongbao, WEI Lei, ZHAO Peng, LUO Zeyang. Establishment of comprehensive remote sensing interpretation markers for geological hazards in Xuanwei City and evaluation of their application effectiveness[J]. CARSOLOGICA SINICA, 2025, 44(4): 815-827. doi: 10.11932/karst20250411
shu

Establishment of comprehensive remote sensing interpretation markers for geological hazards in Xuanwei City and evaluation of their application effectiveness

doi: 10.11932/karst20250411
  • 1.

    Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, MNR, Kunming, Yunnan 650216, China

  • 2.

    Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Kunming, Yunnan650216, China

  • 3.

    Yunnan Institute of Geo-Environment Monitoring, Kunming ,Yunnan 650216, China

  • 4.

    Yunnan Land and Resources Vocational College, Kunming, Yunnan 652501, China

  • Received Date: 2024-07-12
  • Accepted Date: 2025-09-02
  • Rev Recd Date: 2025-09-01
    • Available Online: 2025-11-07
    Abstract
  • The study area is Xuanwei City, Qujing City, Yunnan Province, located in the southern section of the Wumeng Mountains on the central Yunnan-Guizhou Plateau. The overall landforms consist of deep-cut mid-mountain and low-mid-mountain terrain. The predominant tectonic line direction is NE–SW. The most widely exposed strata are the Permian Xuanwei Formation (P2xn) and the Emeishan Formation (P2β). The rock mass of the basement is soft and hard, with the rocks exhibiting weak weathering resistance and poor mechanical properties. Mining and quarrying represent the largest-scale human engineering activities in Xuanwei City, where coal mines are the most widely distributed, and goaf areas continue to expand. The main types of geological hazards include landslides, ground collapses, debris flows, and subsidence. These hazards are mainly small to medium in scale, with most currently stable or basically stable. To identify as many potential geological hazard points as possible and provide guidance for ground investigations, this study integrates conventional InSAR deformation data and optical images. By fully considering the development conditions and disaster-bearing elements of geological hazards, and establishing indicators related to susceptible environments and human activities, a set of comprehensive interpretation markers have been developed. This approach addresses the limitations of single-parameter interpretation methods, improves interpretation accuracy, and is applied effectively within the study area.A total of 88 geological disaster points were identified and interpreted. To evaluate the effectiveness of these interpretation markers, an entropy weight-fuzzy evaluation method was developed to evaluate their quality. The comprehensive recognition rate was 65%, with 17% classified as basically correct and 18% as incorrect. Field verification confirmed that 61 points were correct, seven were basically correct, and 20 were incorrect. This corresponds to a recognition accuracy of 69%, the basic accuracy was 8%, and an incorrect rate of 23%. The actual verification results align with the quality evaluation results obtained with the use of entropy weight-fuzzy comprehensive method. Among the points, 35 were identified as existing geological hazards, and 33 were newly discovered geological hazards. Nineteen new points pose a threat to residents and are distributed across 13 townships, such as Baoshan, Dongshan, Longchang, and Tianba. A detailed list has been submitted to the Xuanwei Natural Resources Bureau to facilitate the implementation of appropriate prevention and control measures in the next phase.The susceptible environment forms the basis for the occurrence of geological disasters, serving as a target area and aggregation for identifying potential hazards. Markers for landslide-prone environments primarily consider slope structures dominated by consequent and oblique slopes. Collapses mainly occur on slopes above 45°, particularly those with reverse, transverse, or oblique slope structures, as well as slopes exhibiting joint development. For the beds of debris flow gullies, a slope gradient exceeding the threshold of 30‰ and a catchment area larger than 0.18 km2 are used as thresholds for interpreting markers of the water sources, while a total deposit volume greater than 5,000 m3 in the source area serves as the threshold for solid source markers. Karst collapses mainly involve carbonate strata, whereas goaf collapses are associated with coal-bearing strata and their direct overlying layers. A threshold of -20 mm·a-1 is applied to InSAR deformation to detect goaf collapses, supplemented by the boundary of mining rights and identification of the markers of mining activities. Markers of human activities are obtained from land survey data and optical remote sensing images. For roads and railways, attention is given to whether muck yard stockpiles are located in ditches, the presence of buildings and structures downstream and nearby, and the potential formation of chain disasters. The results show that the comprehensive interpretation markers established in Xuanwei City exhibit good quality and effectively identify potential geological hazards.

     

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    • References(22)
  • [1]
    葛大庆, 戴可人, 郭兆成, 李振洪. 重大地质灾害隐患早期识别中综合遥感应用的思考与建议[J]. 武汉大学学报(信息科学版), 2019, 44(7): 949-956.

    GE Daqing, DAI Keren, GUO Zhaocheng, LI Zhenhong. Early identification of serious geological hazards with integrated remote sensing technologies: Thoughts and recommendations[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7): 949-956.
    [2]
    陈立权, 赵超英, 任超锋, 王佩杰 , 陈雪蓉, 陈恒祎. 光学遥感用于贵州发耳镇尖山营滑坡监测研究[J]. 中国岩溶, 2020, 39(4): 518-523.

    CHEN Liquan, ZHAO Chaoying, REN Chaofeng, WANG Peijie, CHEN Xuerong, CHEN Hengyi. Monitoring the Jianshanying landslide in a karst mountainous area of Guizhou by optical remote sensing[J]. Carsologica Sinica, 2020, 39(4): 518-523.
    [3]
    王宇, 黄成, 周翠琼, 杨迎冬, 肖华宗, 晏祥省, 张令泽, 王裕琴. 山区地质灾害应急调查的内涵及方法分析评述[J]. 中国岩溶, 2020, 39(4): 492-499.

    WANG Yu, HUANG Cheng, ZHOU Cuiqiong, YANG Yingdong, XIAO Huazong, YAN Xiangsheng, ZHANG Lingze, WANG Yuqin. Review on the connotation and methods of emergency investigations to geological hazards in mountainous area[J]. Carsologica Sinica, 2020, 39(4): 492-499.
    [4]
    童立强, 郭兆成. 典型滑坡遥感影像特征研究[J]. 国土资源遥感, 2013, 25(1): 86-92.

    TONG Liqiang, GUO Zhaocheng. A study of remote sensing image features of typical and slides[J]. Remote Sensing for Land and Resources, 2013, 25(1): 86-92.
    [5]
    童立强, 聂洪峰, 李建存, 郭兆成. 喜马拉雅山地区大型泥石流遥感调查与发育特征研究[J]. 国土资源遥感, 2013, 25(4): 104-112.

    TONG Liqiang, NIE Hongfeng, LI Jiancun, GUO Zhaocheng. Survey of large-scale debris flow and study of its development characteristics using remote sensing technology in the Himalayas[J]. Remote Sensing for Land and Resources, 2013, 25(4): 104-112.
    [6]
    谢猛. 基于多源数据的伊阿铁路工程地质遥感解译及选线[J]. 铁道勘察, 2020, 46(5): 40-46.

    Xie Meng. Remote sensing interpretation of engineering geology and route selection for Yining-Akesu railway based on multisource data[J]. Railway Investigation and Surveying, 2020, 46(5): 40-46.
    [7]
    吴明辕, 罗明, 刘岁海. 基于光学遥感与InSAR技术的潜在滑坡与老滑坡综合识别: 以滇西北地区为例[J]. 中国地质灾害与防治学报, 2022, 33(3): 84-93.

    WU Mingyuan, LUO Ming, LIU Suihai. Comprehensive identification of potential and old landslides based on optical remote sensing and InSAR technologies: A case study in northwestern Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 84-93.
    [8]
    梁京涛, 马志刚, 赵聪, 杨磊, 张肃. 西南深切河谷区滑坡早期识别及斜坡微地貌动态演化特征研究: 以北川县白什乡老街后山滑坡为例[J]. 灾害学, 2020, 35(2): 122-126,135. doi: 10.3969/j.issn.1000-811X.2020.02.023

    LIANG Jingtao, MA Zhigang, ZHAO Cong, YANG Lei, ZHANG Su. The research of early identification of landslide and dynamic evolution of slope microtopography in deep valley of southwest China: A case study of the landslide in the ancient street of Baishi township, Beichuan county[J]. Journal of Catastrophology, 2020, 35(2): 122-126,135. doi: 10.3969/j.issn.1000-811X.2020.02.023
    [9]
    陆会燕, 李为乐, 许强, 董秀军, 代聪, 王栋. 光学遥感与InSAR结合的金沙江白格滑坡上下游滑坡隐患早期识别[J]. 武汉大学学报(信息科学版), 2019, 44(9): 1342-1354.

    LU Huiyan, LI Weile, XU Qiang, DONG Xiujun, DAI Cong, WANG Dong. Early detection of landslides in the upstream and downstream areas of the Baige landslide, the Jinsha Rriver based on optical remote sensing and InSAR echnologies[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1342-1354.
    [10]
    黄海峰, 薛蓉花, 赵蓓蓓, 易武, 邓永煌, 董志鸿, 柳青, 易庆林, 张国栋. 孕灾机理与综合遥感结合的三峡库首顺层岩质滑坡隐患识别[J]. 测绘学报, 2022, 51(10): 2056-2068. doi: 10.11947/j.AGCS.2022.20220306

    HUANG Haifeng, XUE Ronghuɑ, ZHAO Beibei, YI Wu, DENG Yonghuɑng, DONG Zhihong, LIU Qing, YI Qinglin, ZHANG Guodong. The bedding rock lɑndslide identificɑtion in the heɑd ɑreɑ of the Three Gorges Reservoir combined with disɑster pregnɑnt mechɑnism ɑnd comprehensive remote sensing method[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(10): 2056-2068. doi: 10.11947/j.AGCS.2022.20220306
    [11]
    王治华. 三峡水库区城镇滑坡分布及发育规律[J]. 中国地质灾害与防治学报, 2007, 18(1): 33-38. doi: 10.3969/j.issn.1003-8035.2007.01.008

    WANG Zhihua. Landslide distribution and development in the towns of the Three Gorges Reservior area[J]. The Chinese Journal of Geological Hazard and Control, 2007, 18(1): 33-38. doi: 10.3969/j.issn.1003-8035.2007.01.008
    [12]
    贺凯, 李滨, 赵超英, 高杨, 陈立权, 刘朋飞. 基于易滑地质结构与多源数据差异的岩溶山区大型崩滑灾害识别研究[J]. 中国岩溶, 2020, 39(4): 467-477.

    HE Kai, LI Bin, ZHAO Chaoying, GAO Yang, CHEN Liquan, LIU Pengfei. Identification of large-scale landslide hazards based on differences of geological structure prone to sliding and multiple-source data in karst mountainous areas[J]. Carsologica Sinica, 2020, 39(4): 467-477.
    [13]
    刘纪尧, 豆猛, 吴少菁. 遥感技术在地貌与岩土体特征识别和地质灾害分布规律分析中的应用[J]. 地质灾害与环境保护, 2017, 28(3): 83-90. doi: 10.3969/j.issn.1006-4362.2017.03.017

    LIU Jirao, DOU Meng, WU Shaojing. Application of remote sensing technology in geomorphology and geotechnical feature recognition and analysis of geological hazards distribution[J]. Journal of Geological Hazards and Environment, 2017, 28(3): 83-90. doi: 10.3969/j.issn.1006-4362.2017.03.017
    [14]
    李铁锋, 徐岳仁, 潘懋, 丛威青, 温铭生, 连建发. 基于多期SPOT-5影像的降雨型浅层滑坡遥感解译研究[J]. 北京大学学报(自然科学版), 2007, 43(2): 204-210.

    LI Tiefeng, XU Yueren, PAN Mao, CONG Weiqing, WEN Mingsheng, LIAN Jianfa. Study on interpretation of rain-induced group shallow landslides based on multi-period SPOT-5 remote sensing images[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2007, 43(2): 204-210.
    [15]
    李清云, 赵帅, 白潍铭. 基于遥感技术的河南方城县地质灾害解译与分析[J]. 测绘与空间地理信息, 2018, 41(8): 104-107. doi: 10.3969/j.issn.1672-5867.2018.08.028

    LI Qingyun, ZHAO Shuai, BAI Weiming. Interpretation and Analysis of Geological Disasters in Henan Fangcheng County Based on Remote Sensing Technology[J]. Geomatics & Spatial Information Technology, 2018, 41(8): 104-107. doi: 10.3969/j.issn.1672-5867.2018.08.028
    [16]
    魏蕾, 晏祥省, 黄成, 杨迎冬, 杨中宝, 赵鹏, 崔同云. 一种利用地应力进行地质灾害易发性分区的综合遥感方法[P].中国: CN202310570335.6, 2023-05-19.

    WEI Lei, YAN Xiangsheng, HUANG Cheng, YANG Yingdong, YANG Zhongbo, ZHAO Peng, CUI Tongyun. Comprehensive remote sensing method for geological hazard susceptibility zoning using geostress[P].China: CN202310570335.6, 2023-05-19.
    [17]
    魏蕾, 杨中宝, 杨迎冬. 2022年度云南省重点区域地质灾害精细化调查与风险评价综合遥感调查(宣威市)成果报告[R].昆明: 云南省地质环境监测院, 2023.

    WEI Lei, YANG Zhongbo, YANG Yingdong. Report on the results of the 2022 Yunnan Province key region geological hazard fine investigation and risk assessment comprehensive remote sensing survey (Xuanwei City)[R].Kunming: Yunnan Institute of Geological Environment Monitoring, 2023.
    [18]
    何佶泳, 田义超, 张强, 王栋华, 张亚丽, 周慧娟. 基于DEM的喀斯特峰丛洼地地貌信息提取及形态特征分析[J]. 中国岩溶, 2024, 43(3): 595-605. doi: 10.11932/karst20240306

    HE Jiyong, TIAN Yichao, ZHANG Qiang, WANG Donghua, ZHANG Yali, ZHOU Huijuan. Geomorphic information extraction and morphological characteristics analysis of karst peak-cluster depressions based on DEM[J]. Carsologica Sinica, 2024, 43(3): 595-605. doi: 10.11932/karst20240306
    [19]
    王宇. 滇池湖底塌陷漏水隐患研究的问题与建议[J]. 中国岩溶, 2024, 43(1): 1-11. doi: 10.11932/karst2023y030

    WANG Yu. Problems and suggestions on the study of collapse and water leakage at the bottom of Dianchi lakes[J]. Carsologica Sinica, 2024, 43(1): 1-11. doi: 10.11932/karst2023y030
    [20]
    刘自强, 马洪生, 牟云娟. 节理裂隙发育岩溶地基数值模拟稳定性分析[J]. 中国岩溶, 2022, 41(1): 100-110. doi: 10.11932/karst20220105

    LIU Ziqiang, MA Hongsheng, MOU Yunjuan. Numerical simulation analysis and evaluation of stability of the karst foundation with developed joints and fissuress[J]. Carsologica Sinica, 2022, 41(1): 100-110. doi: 10.11932/karst20220105
    [21]
    王哲, 赵超英, 刘晓杰, 李滨. 西藏易贡滑坡演化光学遥感分析与InSAR形变监测[J]. 武汉大学学报(信息科学版), 2021, 46(10): 1569-1578.

    WANG Zhe, ZHAO Chaoying, LIU Xiaojie, LI Bin. Evolution analysis and deformation monitoring of Yigong landslide in Tibet with optical remote sensing and InSAR[J]. Geomatics and Information Science of Wuhan University, 2021, 46(10): 1569-1578.
    [22]
    安霞霞, 杨广斌, 许元红, 陈智虎, 张凯, 张斌. 喀斯特山区居民地多尺度遥感信息提取精度对比[J]. 中国岩溶, 2017, 36(4): 501-511. doi: 10.11932/karst20170411

    An Xiaxia, YANG Guangbin, XU Yuanhong, CHEN Zhihua, ZHANG Kai, ZHANG Bin. Comparative of resident-information extraction accuracy from multi-scale remote sensing data in karst mountainous areas[J]. Carsologica Sinica, 2017, 36(4): 501-511. doi: 10.11932/karst20170411
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