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ZENG Bin,LYU Quanru,KOU Lei,et al. Susceptibility assessment of colluvium landslides along the Changyang section of Qingjiang River using Logistic regression and random forest methods[J]. The Chinese Journal of Geological Hazard and Control,2023,34(4): 105-113. DOI: 10.16031/j.cnki.issn.1003-8035.202205044
Citation: ZENG Bin,LYU Quanru,KOU Lei,et al. Susceptibility assessment of colluvium landslides along the Changyang section of Qingjiang River using Logistic regression and random forest methods[J]. The Chinese Journal of Geological Hazard and Control,2023,34(4): 105-113. DOI: 10.16031/j.cnki.issn.1003-8035.202205044

Susceptibility assessment of colluvium landslides along the Changyang section of Qingjiang River using Logistic regression and random forest methods

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  • Received Date: May 26, 2022
  • Revised Date: September 13, 2022
  • Available Online: May 15, 2023
  • The geological and environmental background conditions of the Qingjiang River Basin are highly complex, particularly with frequent geological disasters along the Qingjiang reservoir bank. Previous susceptibility assessment for geological disasters was mostly focused on administrative areas and seldom specialized evaluations for the reservoir bank zone. Furthermore, there is still room for improvement in the evaluation index system, as well as in the pertinence and reliability of the evaluation method. To address these shortcomings, a more suitable susceptibility evaluation index system was constructed to obtain accurate and applicable susceptibility zoning results. The Yuxiakou to Ziqiu section of the Qingjiang River Basin was chosen as the research area, with the wading slope body on both sides of the river selected as the research object and the slope unit chosen as the evaluation unit. A susceptibility evaluation system composed of ten indicators, including slope, aspect, elevation range, slope type, NDVI, TWI, slope structure type, engineering geological rock formation, accumulation thickness, and valley evolution, was constructed.The logistic regression and random forest methods were used to construct the evaluation model based on the normalized certain factors, and different susceptibility zoning results were obtained. According to the evaluation results, the high-prone areas were mainly distributed in the middle to lower water wading areas of the left bank from the east of Yuxiakou to the east of Ziqiu, along the main stream of the Qingjiang River. The logistic regression model showed better applicability in the reservoir-bank section with complex topography and landforms. The research revealed that the accumulation thickness and valley evolution indicators were effective in representing the unique geological background conditions of the Qingjiang reservoir bank. The logistic regression model was able to learn the developmental law of disasters and has a reliable susceptibility prediction ability.
  • [1]
    雷深涵,华骐,郭峰,等. 长阳县地质灾害发育特征[J]. 地质灾害与环境保护,2013,24(1):30 − 35. [LEI Shenhan,HUA Qi,GUO Feng,et al. Characteristics of the geological hazards in Changyang[J]. Journal of Geological Hazards and Environment Preservation,2013,24(1):30 − 35. (in Chinese with English abstract)

    LEI Shenhan, HUA Qi, GUO Feng, et al. Characteristics of the geological hazards in Changyang[J]. Journal of Geological Hazards and Environment Preservation, 2013, 24(1)30-35(in Chinese with English abstract)
    [2]
    肖尚德,李智民,刘云彪,等. 湖北省清江流域滑坡分布规律与减灾对策研究[J]. 工程地质学报,2012,20(4):514 − 521. [XIAO Shangde,LI Zhimin,LIU Yunbiao,et al. Distribution law and hazard mitigation strategies of landliides in Qingjing River valley,Hubei[J]. Journal of Engineering Geology,2012,20(4):514 − 521. (in Chinese with English abstract)

    XIAO Shangde, LI Zhimin, LIU Yunbiao, et al. Distribution law and hazard mitigation strategies of landliides in Qingjing River valley, Hubei[J]. Journal of Engineering Geology, 2012, 20(4): 514-521. (in Chinese with English abstract)
    [3]
    王凯,张少杰,韦方强. 斜坡单元提取方法研究进展和展望[J]. 长江科学院院报,2020,37(6):85 − 93. [WANG Kai,ZHANG Shaojie,WEI Fangqiang. Slope unit extraction methods:advances and prospects[J]. Journal of Yangtze River Scientific Research Institute,2020,37(6):85 − 93. (in Chinese with English abstract)

    Wang Kai, Zhang Shaojie, Wei Fangqiang. Slope unit extraction methods: advances and prospects[J]. Journal of Yangtze River Scientific Research Institute, 2020, 37(6): 85-93. (in Chinese with English abstract)
    [4]
    ALVIOLI M,MARCHESINI I,REICHENBACH P,et al. Automatic delineation of geomorphological slope units with r. slopeunits v1.0 and their optimization for landslide susceptibility modeling[J]. Geoscientific Model Development,2016,9(11):3975 − 3991. DOI: 10.5194/gmd-9-3975-2016
    [5]
    SUN Xiaohui,CHEN Jianping,HAN Xudong,et al. Landslide susceptibility mapping along the upper Jinsha River,south-western China:A comparison of hydrological and curvature watershed methods for slope unit classification[J]. Bulletin of Engineering Geology and the Environment,2020,79(9):4657 − 4670. DOI: 10.1007/s10064-020-01849-0
    [6]
    黄立鑫,郝君明,李旺平,等. 基于RBF神经网络−信息量耦合模型的滑坡易发性评价—以甘肃岷县为例[J]. 中国地质灾害与防治学报,2021,32(6):116 − 126. [HUANG Lixin,HAO Junming,LI Wangping,et al. Landslide susceptibility assessment by the coupling method of RBF neural network and information value:A case study in Min Xian,Gansu Province[J]. The Chinese Journal of Geological Hazard and Control,2021,32(6):116 − 126. (in Chinese with English abstract)

    HUANG Lixin, HAO Junming, LI Wangping, et al. Landslide susceptibility assessment by the coupling method of RBF neural network and information value: a case study in Min Xian, Gansu Province[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(6)116-126(in Chinese with English abstract)
    [7]
    白光顺,杨雪梅,朱杰勇,等. 基于证据权法的昆明五华区地质灾害易发性评价[J]. 中国地质灾害与防治学报,2022,33(5):128 − 138. [BAI Guangshun,YANG Xuemei,ZHU Jieyong,et al. Susceptibility assessment of geological hazards in Wuhua District of Kuming, China using the weight evidence method[J]. The Chinese Journal of Geological Hazard and Control,2022,33(5):128 − 138. (in Chinese with English abstract)

    [BAI Guangshun, YANG Xuemei, ZHU Jieyong, et al. Susceptibility assessment of geological hazards in Wuhua District of Kuming, China using the weight evidence method[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(5): 128-138.(in Chinese with English abstract)
    [8]
    李光辉,铁永波,白永建,等. 则木河断裂带(普格段)地质灾害发育规律及易发性评价[J]. 中国地质灾害与防治学报,2022,33(3):51. [LI Guanghui,TIE Yongbo,BAI Yongjian,et al. Distribution and susceptibility assessment of geological hazards in Zemuhe fault zone(Puge section)[J]. The Chinese Journal of Geological Hazard and Control,2022,33(3):51. (in Chinese with English abstract)

    LI Guanghui, TIE Yongbo, BAI Yongjian, et al. Distribution and susceptibility assessment of geological hazards in Zemuhe fault zone(Puge section)[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 51. (in Chinese with English abstract)
    [9]
    王涛,刘甲美,栗泽桐,等. 中国地震滑坡危险性评估及其对国土空间规划的影响研究[J]. 中国地质,2021,48(1):21 − 39. [WANG Tao,LIU Jiamei,LI Zetong,et al. Seismic landslide hazard assessment of China and its impact on national territory spatial planning[J]. Geology in China,2021,48(1):21 − 39. (in Chinese with English abstract)

    [WANG Tao, LIU Jiamei, LI Zetong, et al. Seismic landslide hazard assessment of China and its impact on national territory spatial planning[J]. Geology in China, 2021, 48(1): 21-39.(in Chinese with English abstract)
    [10]
    ZHAO Shuai,ZHAO Zhou. A comparative study of landslide susceptibility mapping using SVM and PSO-SVM models based on grid and slope units[J]. Mathematical Problems in Engineering,2021,2021:1 − 15.
    [11]
    XIAO Ting,YIN Kunlong,YAO Tianlu,et al. Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County,Three Gorges Reservoir,China[J]. Acta Geochimica,2019,38(5):654 − 669. DOI: 10.1007/s11631-019-00341-1
    [12]
    YU Chenglong,CHEN Jianping. Application of a GIS-based slope unit method for landslide susceptibility mapping in Helong city:comparative assessment of ICM,AHP,and RF model[J]. Symmetry,2020,12(11):1848. DOI: 10.3390/sym12111848
    [13]
    常宏,金维群,王世昌,等. 清江中下游岸坡稳定性对河流地貌过程的响应[J]. 工程地质学报,2011,19(5):756 − 763. [CHANG Hong,JIN Weiqun,WANG Shichang,et al. Slope stability response to river geomorphic process in middle and lower reaches of Qingjiang River[J]. Journal of Engineering Geology,2011,19(5):756 − 763. (in Chinese with English abstract)

    CHANG Hong, JIN Weiqun, WANG Shichang, et al. Slope stability response to river geomorphic process in middle and lower reaches of Qingjiang River[J]. Journal of Engineering Geology, 2011, 19(5): 756-763. (in Chinese with English abstract)
    [14]
    常宏, 谭建民, 李明. 清江河道变迁与滑坡崩塌[M]. 武汉: 中国地质大学出版社, 2018

    CHANG Hong, TAN Jianmin, LI Ming. Changes of Qingjiang River and landslide collapse[M]. Wuhan: China University of Geosciences Press, 2018. (in Chinese)
    [15]
    陈伟. 山区村镇滑坡灾害风险评估研究[D]. 武汉: 武汉大学

    CHEN Wei. Study on risk assessment of landslide disaster in mountainous villages and towns[D]. Wuhan: Wuhan University. (in Chinese with English abstract)
    [16]
    GUO Zizheng. Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management[J]. Geoscience Frontiers,2021,12(6):101249. DOI: 10.1016/j.gsf.2021.101249
    [17]
    王峰. 四川省南江县地质灾害易发性区划研究[D]. 成都: 成都理工大学

    WANG Feng. Study on regionalization of geological disaster susceptibility in Nanjiang County, Sichuan Province[D]. Chengdu: Chengdu University of Technology. (in Chinese with English abstract)
    [18]
    罗路广, 裴向军, 崔圣华, 等. 九寨沟地震滑坡易发性评价因子组合选取研究[J]. 岩石力学与工程学报, 2021, 40(11): 2306 − 2319.

    LUO Luguang, PEI Xiangjun, CUI Shenghua, et al. Combined selection of susceptibility assessment factors for Jiuzhaigou earthquake-induced landslides[J]. Chinese Journal of Rock Mechanics and Engineering, 2021, 40(11): 2306 − 2319. (in Chinese with English abstract).
    [19]
    王锐. 基于GIS和Logistic回归模型的降雨型滑坡易发性研究[D]. 杭州: 浙江大学

    WANG Rui. Study on the susceptibility of rainfall landslide based on GIS and Logistic regression model[D]. Hangzhou: Zhejiang University. (in Chinese with English abstract)
    [20]
    吴润泽,胡旭东,梅红波,等. 基于随机森林的滑坡空间易发性评价—以三峡库区湖北段为例[J]. 地球科学,2021(1):321 − 330. [WU Runze,HU Xudong,MEI Hongbo,et al. Spatial susceptibility assessment of landslides based on random forest:A case study from Hubei section in the Three Gorges Reservoir area[J]. Earth Science,2021(1):321 − 330. (in Chinese with English abstract)

    WU Runze, HU Xudong, MEI Hongbo, et al. Spatial susceptibility assessment of landslides based on random forest: a case study from Hubei section in the Three Gorges Reservoir area[J]. Earth Science, 2021(1): 321-330. (in Chinese with English abstract)
    [21]
    郝国栋. 基于随机森林模型的商南县滑坡易发性评价[D]. 西安: 西安科技大学, 2020

    HAO Guodong. Evaluation of landslide susceptibility in Shangnan County based on random forest model[D]. Xi’an: Xi’an University of Science and Technology, 2020. (in Chinese with English abstract)
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