Landslide hazard assessment based on improved catastrophe theory

Rui ZHANG; Rongchang GUO; Pan HE; Lingyan YU

doi:10.16031/j.cnki.issn.1003-8035.202112034

Volume 34 Issue 1

Feb. 2023

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The Chinese Journal of Geological Hazard and Control > 2023 > 34(1): 121-128. > DOI: 10.16031/j.cnki.issn.1003-8035.202112034

ZHANG Rui，GUO Rongchang，HE Pan，et al. Landslide hazard assessment based on improved catastrophe theory[J]. The Chinese Journal of Geological Hazard and Control，2023，34(1): 121-128. DOI: 10.16031/j.cnki.issn.1003-8035.202112034

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Landslide hazard assessment based on improved catastrophe theory

School of Automation & Electrical Engineering of Lanzhou Jiaotong University, Lanzhou，Gansu　730070, China

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Received Date: December 27, 2021
Revised Date: April 06, 2022
Available Online: October 25, 2022

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Abstract

Landslide hazard assessment is an important part of landslide risk assessment, which is of great significance to landslide prediction and prevention. Analytic Hierarchy Process（AHP）, expert evaluation, fuzzy comprehensive evaluation and other methods were often used in traditional landslide hazard evaluation to calculate the importance of inter-index, which were subjective and complicated. This paper introduced an improved model of mutation theory, which overcame the limitation of traditional methods and achieved higher evaluation accuracy. Firstly, according to field investigation and previous studies, 12 factors including slope, slope direction, elevation, plane curvature, profile curvature, distance from river, stratigraphic lithology, land use type, distance from fault, vegetation coverage rate, 24 h rainfall and human engineering activities were selected as influencing factors of landslide risk assessment, and the relative importance of indicators was determined by entropy weight method, and the landslide risk assessment system was established. Then the index was standardized and normalized, and the total mutation result was calculated. Finally, the fitting function was used to transform the total catastrophe result, and a new criterion of landslide risk assessment was obtained. Taking 20 landslides in Ya’an city as an example, the results showed that the accuracy of the evaluation results obtained by the catastrophe theory was 90%, and the improved evaluation results were more intuitive and accurate
- landslide,
- risk assessment,
- catastrophe theory,
- entropy weight method

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[1]	汤明高,吴川,吴辉隆,等. 水库滑坡地下水动态响应规律及浸润线计算模型—以石榴树包滑坡为例[J]. 水文地质工程地质,2022,49(2):115 − 125. [TANG Minggao,WU Chuan,WU Huilong,et al. Dynamic response law of groundwater in reservoir landslide and calculation model of infiltration line: A case study of Shidshubao landslide[J]. Hydrogeology & Engineering Geology,2022,49(2):115 − 125. (in Chinese with English abstract)
[2]	KALANTAR B,PRADHAN B,NAGHIBI S A,et al. Assessment of the effects of training data selection on the landslide susceptibility mapping:a comparison between support vector machine (SVM),logistic regression (LR) and artificial neural networks (ANN)[J]. Geomatics,Natural Hazards and Risk,2018,9(1):49 − 69. DOI: 10.1080/19475705.2017.1407368
[3]	张钟远,邓明国,徐世光,等. 镇康县滑坡易发性评价模型对比研究[J]. 岩石力学与工程学报,2022,41(1):157 − 171. [ZHANG Zhongyuan,DENG Mingguo,XU Shiguang,et al. Comparative study on evaluation models of landslide susceptibility in Zhenkang County[J]. Chinese Journal of Rock Mechanics and Engineering,2022,41(1):157 − 171. (in Chinese with English abstract)
[4]	SHANO L,RAGHUVANSHI T K,METEN M. Landslide susceptibility mapping using frequency ratio model:The case of Gamo highland,South Ethiopia[J]. Arabian Journal of Geosciences,2021,14(7):1 − 18.
[5]	MAŁKA A N. Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models[J]. Natural Hazards,2021,107(1):639 − 674. DOI: 10.1007/s11069-021-04599-8
[6]	祁于娜,王磊. 层次分析-熵值定权法应用于山区城镇地质灾害易发性评价[J]. 测绘通报,2021(6):112 − 116. [QI Yuna,WANG Lei. Application of AHP-entropy weight method in hazards susceptibility assessment in mountain town[J]. Bulletin of Surveying and Mapping,2021(6):112 − 116. (in Chinese with English abstract) DOI: 10.13474/j.cnki.11-2246.2021.0187
[7]	吴博,赵法锁,段钊,等. 基于熵权的属性识别模型在陕西土质滑坡危险度评价中的应用[J]. 灾害学,2018,33(1):140 − 145. [WU Bo,ZHAO Fasuo,DUAN Zhao,et al. Application of attribute recognition model based on coefficient of entropy to hazard degree evaluation of soil landslide in Shaanxi[J]. Journal of Catastrophology,2018,33(1):140 − 145. (in Chinese with English abstract) DOI: 10.3969/j.issn.1000-811X.2018.01.025
[8]	ZHU J Q ,LI T Z . Catastrophe theory-based risk evaluation model for water and mud inrush and its application in Karst tunnels[J]. Journal of Central South University,2020,27(5):1587 − 1598. DOI: 10.1007/s11771-020-4392-0
[9]	宋盛渊, 王清, 潘玉珍, 等. 基于突变理论的滑坡危险性评价[J]. 岩土力学, 2014, 35（增刊2）: 422 − 428 SONG Shengyuan, WANG Qing, PAN Yuzhen, et al. Evaluation of landslide susceptibility degree based on catastrophe theory[J]. Rock and Soil Mechanics, 2014, 35（Sup 2）: 422 − 428. （in Chinese with English abstract）
[10]	王雪冬,叶果,李世宇,等. 基于熵值法和突变级数法的泥石流易损度评价[J]. 地质与资源,2019,28(5):493 − 496. [WANG Xuedong,YE Guo,LI Shiyu,et al. Vulnerability assessment of debris flow based on entropy value and catastrophe progression methods[J]. Geology and Resources,2019,28(5):493 − 496. (in Chinese with English abstract) DOI: 10.3969/j.issn.1671-1947.2019.05.013
[11]	刘晓宇,任光明,刘彬,等. 基于突变理论的滑坡危险性评价[J]. 西华大学学报(自然科学版),2020,39(2):95 − 99. [LIU Xiaoyu,REN Guangming,LIU Bin,et al. Analysis of landslide hazard based on mutation series method[J]. Journal of Xihua University (Natural Science Edition),2020,39(2):95 − 99. (in Chinese with English abstract)
[12]	MOGAJI K A,LIM H S. Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment[J]. Earth Science Informatics,2017,10(3):339 − 356. DOI: 10.1007/s12145-017-0300-z
[13]	GHORBANI M A,KHATIBI R,SIVAKUMAR B,et al. Study of discontinuities in hydrological data using catastrophe theory[J]. Hydrological Sciences Journal,2010,55(7):1137 − 1151. DOI: 10.1080/02626667.2010.513477
[14]	QIU X X,CAO Q G,WANG Y N,et al. Risk assessment method of coal spontaneous combustion based on catastrophe theory[J]. IOP Conference Series:Earth and Environmental Science,2020,603(1):012017. DOI: 10.1088/1755-1315/603/1/012017
[15]	王艺洁,张东映,张小清,等. 基于改进突变评价法的安徽省旱灾风险评价[J]. 水电能源科学,2020,38(11):1 − 4. [WANG Yijie,ZHANG Dongying,ZHANG Xiaoqing,et al. Drought risk assessment of Anhui Province based on improved catastrophe progression approach[J]. Water Resources and Power,2020,38(11):1 − 4. (in Chinese with English abstract)
[16]	夏杰塬. 改进的突变评价法在河南省农业干旱中的应用[D]. 郑州: 华北水利水电大学, 2017 XIA Jieyuan. Application of improved catastrophe evaluation method in agricultural drought in Henan Province[D]. Zhengzhou: North China University of Water Resources and Electric Power, 2017. （in Chinese with English abstract）
[17]	赵晓燕,谈树成,李永平. 基于斜坡单元与组合赋权法的东川区地质灾害危险性评价[J]. 云南大学学报(自然科学版),2021,43(2):299 − 305. [ZHAO Xiaoyan,TAN Shucheng,LI Yongping. Risk assessment of geological hazards in Dongchuan District based on the methods of slope unit and combination weighting[J]. Journal of Yunnan University (Natural Sciences Edition),2021,43(2):299 − 305. (in Chinese with English abstract)
[18]	梁桂兰,徐卫亚,何育智,等. 突变级数法在边坡稳定综合评判中的应用[J]. 岩土力学,2008,29(7):1895 − 1899. [LIANG Guilan,XU Weiya,HE Yuzhi,et al. Application of catastrophe progression method to comprehensive evaluation of slope stability[J]. Rock and Soil Mechanics,2008,29(7):1895 − 1899. (in Chinese with English abstract) DOI: 10.3969/j.issn.1000-7598.2008.07.031
[19]	唐然,邓韧,董建辉,等. 雅安市汉源县永定桥水库飞水沟滑坡成因机制分析[J]. 地质论评,2015,61(增刊 1):110 − 111. [Tang Ran,Deng Ren,Dong Jianhui,et al. Genetic mechanism analysis of Feishuigou landslide in Yongdingqiao Reservoir, Hanyuan County, Ya’an City[J]. Geological Review,2015,61(Sup 1):110 − 111. (in Chinese with English abstract)
[20]	李鹏岳,巴仁基,倪化勇,等. 库水位升降速率对雅安双家坪堆积体滑坡稳定性影响模拟分析[J]. 地质力学学报,2017,23(2):288 − 295. [LI Pengyue,BA Renji,NI Huayong,et al. Simulation analysis of the influence of water level rise and fall rate on the stability of Shuangjiaping accumulation in Ya’an[J]. Chinese Journal of Geomechanics,2017,23(2):288 − 295. (in Chinese with English abstract)
[21]	徐晓雪,季灵运,张文婷,等. 基于相干性的InSAR时间序列方法追溯四川雅安地区汉源滑坡灾前形变[J]. 地球科学与环境学报,2022,44(4):632 − 640. [XU Xiaoxue,JI Lingyun,ZHANG Wenting,et al. Trace deformation of Hanyuan Landslide in Ya 'an Area, Sichuan Province based on InSAR time series method of coherence[J]. Journal of Earth Sciences and Environment,2022,44(4):632 − 640. (in Chinese with English abstract)
[22]	侯圣山,李昂,韩冰,等. 四川雅安地质灾害预警预报及分析[J]. 中国地质灾害与防治学报,2014,25(4):134 − 138. [HOU Shengshan,LI Ang,HAN Bing,et al. Prediction and analysis of geological hazards in Ya’an, Sichuan Province[J]. The Chinese Journal of Geological Hazards and Control,2014,25(4):134 − 138. (in Chinese with English abstract)
[23]	方然可,刘艳辉,苏永超,等. 基于逻辑回归的四川青川县区域滑坡灾害预警模型[J]. 水文地质工程地质,2021,48(1):181 − 187. [FANG Ranke,LIU Yanhui,SU Yongchao,et al. Prediction model of regional landslide disaster in Qingchuan County, Sichuan Province based on logistic regression[J]. Hydrogeology & Engineering Geology,2021,48(1):181 − 187. (in Chinese with English abstract)
[24]	刘福臻,王灵,肖东升. 机器学习模型在滑坡易发性评价中的应用[J]. 中国地质灾害与防治学报,2021,32(6):98 − 106. [LIU Fuzhen,WANG Ling,XIAO Dongsheng. Application of machine learning model in landslide susceptibility evaluation[J]. The Chinese Journal of Geological Hazard and Control,2021,32(6):98 − 106. (in Chinese with English abstract)
[25]	杨华阳,许向宁,杨鸿发. 基于证据权法的九寨沟地震滑坡危险性评价[J]. 中国地质灾害与防治学报,2020,31(3):20 − 29. [YANG Huayang,XU Xiangning,YANG Hongfa. The Jiuzhaigou co-seismic landslide hazard assessment based on weight of evidence method[J]. The Chinese Journal of Geological Hazard and Control,2020,31(3):20 − 29. (in Chinese with English abstract) DOI: 10.16031/j.cnki.issn.1003-8035.2020.03.03
[26]	周天伦,曾超,范晨,等. 基于快速聚类-信息量模型的汶川及周边两县滑坡易发性评价[J]. 中国地质灾害与防治学报,2021,32(5):137 − 150. [ZHOU Tianlun,ZENG Chao,FAN Chen,et al. Landslide susceptibility assessment based on K-means cluster information model in Wenchuan and two neighboring counties,China[J]. The Chinese Journal of Geological Hazard and Control,2021,32(5):137 − 150. (in Chinese with English abstract) DOI: 10.16031/j.cnki.issn.1003-8035.2021.05-17

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Landslide hazard assessment based on improved catastrophe theory

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