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Risk assessment of geological hazards under different plotting scales: A case study of Huangxikou Town in Hunan Province |
LIN Gaocong1,2,3, LIU Huan4, WANG Honglei2,3,*, PAN Shuhua2,3 |
1. School of Water Resource and Environment,China University of Geosciences,Beijing 100083, China; 2. Center for Hydrogeology and Environmental Geological Survey,China Geological Survey,Hebei Baoding 071051,China; 3. Field Scientific Observation Base for Geological Disaster Monitoring and Early Warning in the Three Gorges Reservoir Area of the Ministry of Natural Resources,Chongqing 404100,China; 4. School of Insurance and Public Finace,Hebei Finace University,Hebei Baoding 071000,China |
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Abstract In order to explore the differences and applicability of geological disaster risk assessment models and methods under different plotting scales, the authors took Huangxikou Town in Hunan Province as the study area and selected 8 evaluation indicators, such as engineering geological petrofabric and slope structure, to assess the geological disaster risk under 1∶50,000 scale with grid unit using information model, on the basis of disaster geological survey map unit. The results show that the low, medium, high, and extremely high risk areas in the study region account for 32.0%, 24.6%, 38.0%, and 5.4% respectively of the total area. One hundred and sixty-one slope units were divided using hydrological methods and manual intervention methods, and 17 indicators and 30 factors under the categories of the possibility, intensity, category and quantity of disaster-bearing bodies and vulnerability of geological disasters, were selected to construct an analytic hierarchy process grading model. The 1∶10,000 scale risk assessment of geological disasters with slope as the basic unit was carried out, and 84 low-risk slopes, 49 medium-risk slopes, 24 high-risk slopes, and 4 extremely high-risk slopes were identified within the key study area. Due to the influence of survey accuracy and evaluation methods, the assessment results of the two model methods for the same location are not entirely consistent. Therefore, it is advisable to select an appropriate evaluation method based on survey accuracy and research depth. For geological disaster risk assessments in areas under small and medium scales, the information quantity evaluation model based on quantitative calculations using mathematical statistics is recommended, with characteristics of simple, easy to promote, and efficient in modeling, making it suitable for regional promotion. For geological disaster risk assessments in key areas under large scales, the multi-indicator scoring and grading evaluation model on the basis of hierarchical analysis is recommended based on detailed slope unit survey results. These evaluation indicators are detailed and easy to understand, allowing for risk assessments of individual slope units, which is suitable for slope management and dynamic updates of slope risks. This study results could provide some references for the selection and application of geological disaster risk evaluation methods under different scales.
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Received: 20 February 2024
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[1] 王洪磊,潘书华,林高聪,等.雪峰山区北部地质灾害调查二级项目成果报告[R].中国地质调查水文地质环境地质调查中心,2019. Wang H L,Pan S H,Lin G C,et al.The Report of the Second-level Project of Geological Disaster Investigation in the Northern Mountain Xuefeng Area[R].Center for Hydrogeology and Environmental Geology Survey,China Geology Survey,2019. [2] 湖南省自然资源厅.湖南省“十四五”地质灾害防治规划(2021—2025年)[EB/OL].(2021-04-25) [2023-01-31].http://www.hunan.gov.cn/topic/hnsswgh/ghwj/202108/t20210812_20317217.html. Hunan Provincial Natural Resources Department.Geological disaster prevention and control plan of Hunan Province during the 14th five-year plan period (2021—2025)[EB/OL].(2021-04-25) [2023-01-31].http://www.hunan.gov.cn/topic/hnsswgh/ghwj/202108/t20210812_20317217.html. [3] 孔锋. 透视大尺度综合自然灾害风险评估的主要进展和展望[J].灾害学,2020,35(2):148-153. Kong F.Perspective on the main progress and prospect of large-scale integrated natural disaster risk assessment[J].Journal of Catastrophology,2020,35(2):148-153. [4] 郝爱兵,石菊松,乐琪浪,等.坚持示范引领定位从地质灾害调查走向灾害地质调查[J].水文地质工程地质,2017,44(6):3. Hao A B,Shi J S,Le Q L,et al.Adhere to the demonstration and leadership positioning to transition from geological disaster survey to disaster geological survey[J].Hydrogeology & Engineering Geology,2017,44(6):3. [5] 李春燕,孟晖,张若琳,等.基于承灾体易损性的县域单元地质灾害风险评估[J].地质通报,2021,40(9):1547-1559. Li C Y,Meng H,Zhang R L,et al.Geological hazard risk assessment based on vulnerability of disaster-bearing body at county unite scale[J].Geological Bulletin of China,2021,40(9):1547-1559. [6] 孟晖,李春燕,张若琳,等.京津冀地区县域单元地质灾害风险评估[J].地理科学进展,2017,36(3):327-334. Meng H,Li C Y,Zhang R L,et al.Risk assessment of geological hazards for counties and districts of the Beijing-Tianjin-Hebei region[J].Progress in Geography,2017,36(3):327-334. [7] 张群,易靖松,张勇,等.西南山区县域单元的地质灾害风险评价——以怒江流域泸水市为例[J].自然灾害学报,2022,31(5):212-221. Zhang Q,Yi J S,Zhang Y,et al.Geohazard risk assessment about county units in southwest mountainous areas of China:Take Lushui County of Nujiang river basin as an example[J].Journal of Natural Disasters,2022,31(5):212-221. [8] 舒和平,刘东飞,顾春杰,等.中小尺度区域泥石流灾害风险评价[J].山地学报,2014,32(6):754-760. Shu H P,Liu D F,Gu C J,et al.Risk assessment of medium and small-scale regional debris flow[J].Mountain Research,2014,32(6):754-760. [9] 张以晨,郎秋玲,陈亚南,等.基于自然灾害风险评价框架的省级地质灾害风险区划方法探讨——以吉林省为例[J].中国地质灾害与防治学报,2020,31(6):104-110. Zhang Y C,Lang Q L,Chen Y N,et al.Provincial geological disaster risk zoning method based on natural disaster risk assessment framework:A case study of Jilin Province[J].The Chinese Journal of Geological Hazard and Control,2020,31(6):104-110. [10] 杨柳,牟鑫亮,李晨,等.延安市宝塔区地质灾害风险评价[J].山地学报,2020,38(5):679-690. Yang L,Mu X L,Li C,et al.Risk assessment of geological hazards in Baota District,Yan’an City,Shanxi,China[J].Mountain Research,2020,38(5):679-690. [11] 林高聪,潘书华,叶振南.基于Newmark法的设定地震滑坡危险性评估[J].桂林理工大学学报,2021,41(3):525-532. Lin G C,Pan S H,Ye Z N.Assessment of landslide risk based on Newmark and preset earthquake[J].Journal of Guilin University of Technology,2021,41(3):525-532. [12] 高波,王晓勇.基于SINMAP模型的延安市滑坡危险性区划[J].水土保持通报,2019,39(3):211-216. Gao B,Wang X Y.Risk Zoning of landslide based on SINMAP model in Yan’an City[J].Bulletin of Soil and Water Conservation,2019,39(3):211-216. [13] He J Y,Qiu H J,Qu F H,et al.Prediction of spatiotemporal stability and rainfall threshold of shallow landslides using the TRIGRS and Scoops3D models[J].CATENA,2021(197):104999. [14] 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 R K,Liu Y H,Su Y C,et al.A early warning model of regional landslide in Qingchuan County,Sichuan Province based on logistic regression[J].Hydrogeology & Engineering Geology,2021,48(1):181-187. [15] 李冠宇,李鹏,郭敏,等.基于聚类分析法的地质灾害风险评价——以韩城市为例[J].科学技术与工程,2021,21(25):10629-10638. Li G Y,Li P,Guo M,et al.Application of cluster analysis method in geological hazard risk assessment:A case study of Hancheng City[J].Science Technology and Engineering,2021,21(25):10629-10638. [16] 罗鸿东,李瑞冬,张勃,等.基于信息量法的地质灾害气象风险预警模型:以甘肃省陇南地区为例[J].地学前缘,2019,26(6):289-297. Luo R D,Li R D,Zhang B,et al.An early warning model system for predicting meteorological risk associated with geological disasters in the Longnan area,Gansu Province based on the information value method[J].Earth Science Frontiers,2019,26(6):289-297. [17] 胡现振,付少杰,迟宏庆,等.基于层次分析-信息量耦合模型的地质灾害风险评价——以河北省武安市为例[J].中国地质调查,2023,10(5):109-117. Hu X Z,Fu S J,Chi H Q,et al.Geological hazard risk assessment based on AHP-information coupling model:A case study of Wu’an City in Hebei Province[J].Geological Survey of China,2023,10(5):109-117. [18] 陈风光,姚海林,史卫国.模糊综合评价法在堰塞湖风险评估中的应用[J].上海交通大学学报,2011,45(S1):67-70,75. Chen F G,Yao H L,Shi W G.Application of fuzzy and synthetic judgment to risk assessment of dammed lake[J].Journal of Shanghai Jiaotong University,2011,45(S1):67-70,75. [19] 巩书华,李少青,王焕银,等.湖南张家界市永定区地质灾害发育规律及易发性评价研究[J].中国地质调查,2023,10(6):101-110. Gong S H,Li S Q,Wang H Y,et al.Research on the development law and susceptibility evaluation of geological disasters in Yongding District of Zhangjiajie City in Hunan Province[J].Geological Survey of China,2023,10(6):101-110. [20] 周超,殷坤龙,曹颖,等.基于集成学习与径向基神经网络耦合模型的三峡库区滑坡易发性评价[J].地球科学,2020,45(6):1865-1876. Zhou C,Yin K L,Cao Y,et al.Landslide susceptibility assessment by applying the coupling method of radial basis neural network and adaboost:A case study from the Three Gorges reservoir area[J].Earth Science,2020,45(6):1865-1876. [21] 刘纪平,梁恩婕,徐胜华,等.顾及样本优化选择的多核支持向量机滑坡灾害易发性分析评价[J].测绘学报,2022,51(10):2034-2045. Liu J P,Liang E J,Xu S H,et al.Multi-kernel support vector machine considering sample optimization selection for analysis and evaluation of landslide disaster susceptibility[J].Acta Geodaetica et Cartographica Sinica,2022,51(10):2034-2045. [22] 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 Z Y,Deng M G,Xu S G,et al.Comparison of landslide susceptibility assessment models in Zhenkang County,Yunnan Province,China[J].Chinese Journal of Rock Mechanics and Engineering,2022,41(1):157-171. [23] 刘玥,申玉松,李旭,等.基于不同耦合模型的区域地质灾害易发性评价——以河南商城县为例[J].中国地质调查,2024,11(1):83-92. Liu Y,Shen Y S,Li X,et al.Evaluation of regional geological disaster susceptibility based on different coupling models:A case study of Shangcheng County of Henan Province[J].Geological Survey of China,2024,11(1):83-92. [24] 高玉欣,刘德成,高雪媛.区县地质灾害风险评价中易损性评价研究[J].环境生态学,2021,3(5):49-54. Gao Y X,Liu D C,Gao X Y.Study on vulnerability assessment of geological hazard risk assessment in districts and counties[J].Environmental Ecology,2021,3(5):49-54. [25] 李金香,温和平,张治广,等.三维影像技术在承灾体基础数据调查中的应用——以吐鲁番市主城区为例[J].震灾防御技术,2018,13(2):424-438. Li J X,Wen H P,Zhang Z G,et al.Application of 3D imaging technique in basic data investigation of disaster bearing body:A case study of Turpan City,Xinjiang Uygur autonomous region[J].Technology for Earthquake Disaster Prevention,2018,13(2):424-438. [26] 刘光旭,席建超,戴尔阜,等.中国滑坡灾害承灾体损失风险定量评估[J].自然灾害学报,2014,23(2):39-46. Liu G X,Xi J C,Dai E F,et al.Loss risk assessment of the hazard-affectted body of landslides in China[J].Journal of Natural Disasters,2014,23(2):39-46. [27] 武中鹏,刘宏,董秀群,等.单体危岩崩塌灾害危险性评价——以贵州威宁县新发乡樊家岩为例[J].中国地质灾害与防治学报,2019,30(2):30-34. Wu Z P,Liu H,Dong X Q,et al.Hazard assessment of rockfall disaster of a dangerous rock:A case study at Fanjiayan,Xinfa Township,Weining County of Guizhou Province[J].The Chinese Journal of Geological Hazard and Control,2019,30(2):30-34. [28] 覃乙根,杨根兰,鲁鲲鹏,等.贵州寨子危岩崩塌风险定量评价研究[J].人民长江,2019,50(10):113-119. Qin Y G,Yang G L,Lu K P,et al.Quantitative risk assessment for Zhaizi rockfall in Guizhou Province[J].Yangtze River,2019,50(10):113-119. [29] 王高峰,杨强,陈宗良,等.白龙江流域甘家沟泥石流风险评估研究[J].泥沙研究,2020,45(4):66-73,65. Wang G F,Yang Q,Chen Z L,et al.Risk assessment of debris flow in the Ganjia Gully of the Bailongjiang Basin[J].Journal of Sediment Research,2020,45(4):66-73,65. [30] 毕钰璋,孙新坡,何思明,等.滑坡受灾结构体易损性离散元分析[J].金属矿山,2018(7):167-174. Bi Y Z,Sun X P,He S M,et al.Analysis on vulnerability of the structure induced by landslide based on discrete element method[J].Metal Mine,2018(7):167-174. [31] 陈旭丹,孙新利,程金星,等.单体滑坡灾害承灾体的有限元模拟与易损性评估[J].长江科学院院报,2015,32(9):69-75. Chen X D,Sun X L,Cheng J X,et al.Finite element simulation and vulnerability assessment for bearing body caused by single landslide[J].Journal of Yangtze River Scientific Research Institute,2015,32(9):69-75. [32] 陈鑫,赵洲,杨鹏.基于颗粒流方法的滑坡灾变过程及冲击致灾预测研究[J].水力发电,2020,46(4):35-40. Chen X,Zhao Z,Yang P.Simulation on landslide disaster process and impact disaster prediction based on PFC2D[J].Water Power,2020,46(4):35-40. |
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