REVIEW ON THE EVALUATION METHODS OF GEOLOGICAL HAZARD SUSCEPTIBILITY

LAN Ying-ying; GUO Chang-cheng; ZHU Yun-fu

doi:10.13686/j.cnki.dzyzy.2024.01.008

2024 Vol. 33, No. 1

Article Contents

Article navigation > Geology and Resources > 2024 > 33(1): 65-73

Next Article Previous Article

LAN Ying-ying, GUO Chang-cheng, ZHU Yun-fu. REVIEW ON THE EVALUATION METHODS OF GEOLOGICAL HAZARD SUSCEPTIBILITY[J]. Geology and Resources, 2024, 33(1): 65-73. doi: 10.13686/j.cnki.dzyzy.2024.01.008

Citation:

LAN Ying-ying, GUO Chang-cheng, ZHU Yun-fu. REVIEW ON THE EVALUATION METHODS OF GEOLOGICAL HAZARD SUSCEPTIBILITY[J]. Geology and Resources, 2024, 33(1): 65-73. doi: 10.13686/j.cnki.dzyzy.2024.01.008

REVIEW ON THE EVALUATION METHODS OF GEOLOGICAL HAZARD SUSCEPTIBILITY

1.
Nanchang Institute of Technology, Nanchang 330099, China
2.
Jiangxi Geological Environment Monitoring Station, Nanchang 330095, China

Received Date: 18 October 2022

Revised Date: 24 December 2022

Publish Date: 25 February 2024

Abstract

Abstract

The topographical and geological conditions in China are complicated, with frequent geological disasters, which have been aggravated by various human engineering geological activities. The prevention and management of geological disasters are the premise and foundation of ensuring the safety of people's lives and property. Geological disaster susceptibility evaluation is the premise of hazard evaluation and risk assessment, and the basis of geohazard zoning and prevention as well. Based on related researches on geological disaster susceptibility at home and abroad, the paper discusses the concept of geohazard susceptibility, evaluation index system, weight calculation method and evaluation model, and points out the main problems to be solved in geohazard susceptibility evaluation.
- geological hazard /
- susceptibility evaluation /
- evaluation index system /
- evaluation model /
- RS /
- GPS /
- GIS

FullText(HTML)

References

[1]	魏海霞. 滇西红层区地质灾害易发性评价研究——以云南省永平县为例[D]. 昆明: 昆明理工大学, 2007: 10-11. Google Scholar Wei H X. Study on evaluation of geological hazard susceptibility in the red bed in western Yunnan[D]. Kunming: Kunming University of Science and Technology, 2007: 10-11. (in Chinese) Google Scholar
[2]	刘传正, 陈春利. 中国地质灾害成因分析[J]. 地质论评, 2020, 66(5): 1334-1348. Google Scholar Liu C Z, Chen C L. Research on the origins of geological disasters in China[J]. Geological Review, 2020, 66(5): 1334-1348. Google Scholar
[3]	刘希林, 庙成, 田春山. 区域滑坡和泥石流灾害两种危险性评价方法的比较分析[J]. 防灾减灾工程学报, 2017, 37(1): 71-78. Google Scholar Liu X L, Miao C, Tian C S. Comparative analysis of two methods for assessing hazard of landslide and debris-flow on a regional scale[J]. Journal of Disaster Prevention and Mitigation Engineering, 2017, 37(1): 71-78. Google Scholar
[4]	杨建锋, 张翠光, 冯艳芳. 国内外地质灾害长期变化的趋势[J]. 地质灾害与环境保护, 2012, 23(1): 7-12. Google Scholar Yang J F, Zhang C G, Feng Y F. Long-term trend of geo-hazard occurrence[J]. Journal of Geological Hazards and Environment Preservation, 2012, 23(1): 7-12. Google Scholar
[5]	罗守敬, 王珊珊, 付德荃. 北京山区突发性地质灾害易发性评价[J]. 中国地质灾害与防治学报, 2021, 32(4): 126-133. Google Scholar Luo S J, Wang S S, Fu D Q. Assessment on the susceptibility of sudden geological hazards in mountainous areas of Beijing[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(4): 126-133. Google Scholar
[6]	薛强. 对地质灾害易发性危险性易损性和风险性的探讨[C]//中国地质学会工程地质专业委员会2007年学术年会暨"生态环境脆弱区工程地质"学术论坛论文集. 北京: 中国地质学会工程地质专业委员会, 2007: 135-139. Google Scholar Xue Q. Discussion on susceptibility, hazard, vulnerability and risk of geological disaster[C]//Beijing: Engineering Geology Professional Committee of the Chinese Geological Society, 2007: 135-139. (in Chinese) Google Scholar
[7]	郑永林, 宁立波, 毛绪美, 等. 浙江省龙泉市地质灾害易发区划分分析[J]. 湘潭师范学院学报(自然科学版), 2004, 26(4): 90-92. Google Scholar Zheng Y L, Ning L B, Mao X M, et al. Longquan City geological disaster easy happen area analyses by the zone division in Zhejiang Province[J]. Journal of Xiangtan Normal University (Natural Science Edition), 2004, 26(4): 90-92. Google Scholar
[8]	Hovland H J. Three-dimensional slope stability analysis method[J]. Journal of the Geotechnical Engineering Division, 1977, 103(9): 971-986. doi: 10.1061/AJGEB6.0000493 CrossRef Google Scholar
[9]	van Westen C J, Rengers N, Terlien M T J, et al. Prediction of the occurrence of slope instability phenomenal through GIS-based hazard zonation[J]. Geologische Rundschau, 1997, 86(2): 404-414. doi: 10.1007/s005310050149 CrossRef Google Scholar
[10]	单博. 基于3S技术的奔子栏水源地库区库岸地质灾害易发性评价及灾害风险性区划研究[D]. 长春: 吉林大学, 2014: 4-15. Google Scholar Shan B. Reservoir bank geological disaster susceptibility assessment and study on zoning of disaster risk in Benzilan water-source reservoir area based on 3S technology[D]. Changchun: Jilin University, 2014: 4-15. Google Scholar
[11]	倪化勇, 王德伟, 陈绪钰, 等. 四川雅江县城地质灾害发育特征与稳定性评价[J]. 现代地质, 2015, 29(2): 474-480. Google Scholar Ni H Y, Wang D W, Chen X Y, et al. Formation characteristics and stability assessment of geological hazards in Yajiang City, Sichuan Province[J]. Geoscience, 2015, 29(2): 474-480. Google Scholar
[12]	张琪, 侯晓亮, 马雷, 等. 基于GIS与IIVM的桐城市地质灾害易发性评价[J]. 合肥工业大学学报(自然科学版), 2021, 44(7): 958-964. Google Scholar Zhang Q, Hou X L, Ma L, et al. Evaluation of the susceptibility of geological hazards in Tongcheng City based on GIS and IIVM[J]. Journal of Hefei University of Technology (Natural Science), 2021, 44(7): 958-964. Google Scholar
[13]	Saaty T L, Vargas L G. Estimating technological coefficients by the analytic hierarchy process[J]. Socio-Economic Planning Sciences, 1979, 13(6): 333-336. doi: 10.1016/0038-0121(79)90015-6 CrossRef Google Scholar
[14]	杨德宏, 范文. 基于ArcGIS的地质灾害易发性分区评价——以旬阳县为例[J]. 中国地质灾害与防治学报, 2015, 26(4): 82-86, 93. Google Scholar Yang D H, Fan W. Zoning of probable occurrence level of geological disasters based on ArcGIS: A case of Xunyang[J]. The Chinese Journal of Geological Hazard and Control, 2015, 26(4): 82-86, 93. Google Scholar
[15]	李萍, 叶辉, 谈树成. 基于层次分析法的永德县地质灾害易发性评价[J]. 水土保持研究, 2021, 28(5): 394-399, 406. Google Scholar Li P, Ye H, Tan S C. Evaluation of geological hazards in Yongde County based on analytic hierarchy process[J]. Research of Soil and Water Conservation, 2021, 28(5): 394-399, 406. Google Scholar
[16]	苏建辉, 李永才, 窦顺. 基于模糊综合评判法分析某公路边坡稳定性[J]. 路基工程, 2015(5): 38-42. Google Scholar Su J H, Li Y C, Dou S. Analysis of highway slope stability by fuzzy comprehensive evaluation[J]. Subgrade Engineering, 2015(5): 38-42. Google Scholar
[17]	刘福臻, 王灵, 肖东升, 等. 基于模糊综合评判法的宁南县滑坡易发性评价[J]. 自然灾害学报, 2021, 30(5): 237-246. Google Scholar Liu F Z, Wang L, Xiao D S, et al. Evaluation of landslide susceptibility in Ningnan County based on fuzzy comprehensive evaluation[J]. Journal of Natural Disasters, 2021, 30(5): 237-246. Google Scholar
[18]	张杰, 毕攀, 魏爱华, 等. 基于模糊综合法的烟台市栖霞中桥岩溶塌陷易发性评价[J]. 中国岩溶, 2021, 40(2): 215-220. Google Scholar Zhang J, Bi P, Wei A H, et al. Assessment of susceptibility to karst collapse in the Qixia Zhongqiao district of Yantai based on fuzzy comprehensive method[J]. Carsologica Sinica, 2021, 40(2): 215-220. Google Scholar
[19]	狄靖月, 徐辉, 许凤雯, 等. 基于逆推法和德尔菲法的地质灾害气象服务效益评估[J]. 气象, 2019, 45(5): 705-712. Google Scholar Di J Y, Xu H, Xu F W, et al. Benefit assessment of geological hazard meteorological services based on inverse algorithm and evaluation method of Delphi[J]. Meteorological Monthly, 2019, 45(5): 705-712. Google Scholar
[20]	侯林锋, 李大卫, 周新民. 基于指标体系的浙江省地震灾害风险评估[J]. 华北地震科学, 2019, 37(4): 23-28. Google Scholar Hou L F, Li D W, Zhou X M. Earthquake risk assessment in Zhejiang Province based on index system[J]. North China Earthquake Sciences, 2019, 37(4): 23-28. Google Scholar
[21]	Agterberg F P. Combining indicator patterns in weights of evidence modeling for resource evaluation[J]. Nonrenewable Resources, 1992, 1(1): 39-50. doi: 10.1007/BF01782111 CrossRef Google Scholar
[22]	刘阳. 基于GIS的城市地质灾害评价风险性方法——以深圳为例[D]. 广州: 广州大学, 2018. Google Scholar Liu Y. Urban geological hazard assessment method based on GIS: A case study of Shenzhen area[D]. Guangzhou: Guangzhou University, 2018. Google Scholar
[23]	胡燕, 李德营, 孟颂颂, 等. 基于证据权法的巴东县城滑坡灾害易发性评价[J]. 地质科技通报, 2020, 39(3): 187-194. Google Scholar Hu Y, Li D Y, Meng S S, et al. Landslide susceptibility evaluation in Badong County based on weights of evidence method[J]. Bulletin of Geological Science and Technology, 2020, 39(3): 187-194. Google Scholar
[24]	唐绪波, 傅旭东, 黄启乐. 神农架林区滑坡灾害易发性评价研究[J]. 公路工程, 2017, 42(5): 111-116. Google Scholar Tang X B, Fu X D, Huang Q L. Susceptibility assessment of landslide for Shennongjia forestry district[J]. Highway Engineering, 2017, 42(5): 111-116. Google Scholar
[25]	陈立华, 李立丰, 吴福, 等. 基于GIS与信息量法的北流市地质灾害易发性评价[J]. 地球与环境, 2020, 48(4): 471-479. Google Scholar Chen L H, Li L F, Wu F, et al. Evaluation of the geological hazard vulnerability in the Beiliu City based on GIS and information value model[J]. Earth and Environment, 2020, 48(4): 471-479. Google Scholar
[26]	马振, 谭光超, 季璇. 基于GIS的信息量法在九畹溪流域地质灾害易发性评价中的应用[J]. 资源环境与工程, 2021, 35(5): 667-673, 680. Google Scholar Ma Z, Tan G C, Ji X. Application of information quantity method based on GIS in evaluation of geological disasters susceptibility in Jiuwanxi Basin[J]. Resources Environment & Engineering, 2021, 35(5): 667-673, 680. Google Scholar
[27]	李信, 阮明, 杨峰, 等. 基于GIS技术和信息量法的地质灾害易发性研究——以海南省昌江县为例[J]. 地质与资源, 2022, 31(1): 98-105. Google Scholar Li X, Ruan M, Yang F, et al. Evaluation of geological hazard susceptibility based on GIS and information method: A case study of Changjiang County, Hainan Province[J]. Geology and Resources, 2022, 31(1): 98-105. Google Scholar
[28]	郭林飞, 柴仕琦, 董静怡, 等. 我国城市路面塌陷事故统计分析[J]. 工程管理学报, 2020, 34(2): 49-54. Google Scholar Guo L F, Chai S Q, Dong J Y, et al. A statistical analysis of urban road collapse accidents in China[J]. Journal of Engineering Management, 2020, 34(2): 49-54. Google Scholar
[29]	刘坚, 李树林, 陈涛. 基于优化随机森林模型的滑坡易发性评价[J]. 武汉大学学报(信息科学版), 2018, 43(7): 1085-1091. Google Scholar Liu J, Li S L, Chen T. Landslide susceptibility assessment based on optimized random forest model[J]. Geomatics and Information Science of Wuhan University, 2018, 43(7): 1085-1091. Google Scholar
[30]	Goetz J N, Brenning A, Petschko H, et al. Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling[J]. Computers & Geosciences, 2015, 81: 1-11. Google Scholar
[31]	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, 2019: 43-47. Google Scholar Hao G D. Landslide susceptibility assessment based on random forest model in Shangnan County[D]. Xi'an: Xi'an University of Science and Technology, 2019: 43-47. Google Scholar
[32]	邓念东, 石辉, 文强, 等. 信息量支持下的随机森林模型的崩塌易发性评价[J]. 科学技术与工程, 2021, 21(6): 2210-2217. Google Scholar Deng N D, Shi H, Wen Q, et al. Collapse susceptibility evaluation of random forest model supported by information value model[J]. Science Technology and Engineering, 2021, 21(6): 2210-2217. Google Scholar
[33]	杨硕, 李德营, 严亮轩, 等. 基于随机森林模型的乌江高陡岸坡滑坡地质灾害易发性评价[J]. 安全与环境工程, 2021, 28(4): 131-138. Google Scholar Yang S, Li D Y, Yan L X, et al. Landslide susceptibility assessment in high and steep bank slopes along Wujiang River based on random forest model[J]. Safety and Environmental Engineering, 2021, 28(4): 131-138. Google Scholar
[34]	余丰华, 刘正华, 夏跃珍, 等. 基于敏感指数主成分分析法的浙江沿海突发性地质灾害易发区评价[J]. 灾害学, 2015, 30(4): 64-68. Google Scholar Yu F H, Liu Z H, Xia Y Z, et al. Evaluation of the unexpected geological disasters distributions in coastal region of Zhejiang Province base on sensitivity coefficient and principal component analysis[J]. Journal of Catastrophology, 2015, 30(4): 64-68. Google Scholar
[35]	丁赞, 沈铭. 基于层次分析法和变异系数法的黄冈市地质环境承载力研究[J]. 资源环境与工程, 2019, 33(S1): 70-74, 91. Google Scholar Ding Z, Shen M. Study on the bearing capacity of geological environment in Huanggang City based on analytic hierarchy process and variation coefficient method[J]. Resources Environment & Engineering, 2019, 33(S1): 70-74, 91. Google Scholar
[36]	乔建平, 吴彩燕. 滑坡本底因子贡献率与权重转换研究[J]. 中国地质灾害与防治学报, 2008, 19(3): 13-16. Google Scholar Qiao J P, Wu C Y. Study on the conversion between the contribution rate and weight of the controlling factors for landslide[J]. The Chinese Journal of Geological Hazard and Control, 2008, 19(3): 13-16. Google Scholar
[37]	王萌, 乔建平. 贡献权重模型在区域滑坡危险性评价中的应用[J]. 中国地质灾害与防治学报, 2010, 21(1): 1-6. Google Scholar Wang M, Qiao J P. Application of contributing weights model in regional landslides hazard assessment[J]. The Chinese Journal of Geological Hazard and Control, 2010, 21(1): 1-6. Google Scholar
[38]	杨海龙, 樊晓一. 基于贡献权重法的苏宝河流域地震滑坡本底因子敏感性分析[J]. 路基工程, 2016(3): 1-5. Google Scholar Yang H L, Fan X Y. Sensitivity analysis of root factors of seismic landslide in Subaohe Basin based on contribution weight method[J]. Subgrade Engineering, 2016(3): 1-5. Google Scholar
[39]	石辉, 邓念东, 周阳. 随机森林赋权层次分析法的崩塌易发性评价[J]. 科学技术与工程, 2021, 21(25): 10613-10619. Google Scholar Shi H, Deng N D, Zhou Y. Evaluation of collapse susceptibility based on random forest weighted analytic hierarchy process[J]. Science Technology and Engineering, 2021, 21(25): 10613-10619. Google Scholar
[40]	张志沛, 魏在豪. 基于加权信息量模型的滑坡灾害易发性评价——以灞桥区为例[J]. 科学技术与工程, 2020, 20(9): 3492-3500. Google Scholar Zhang Z P, Wei Z H. Landslide susceptibility assessment based on weighted information values model: Take Baqiao District as an example[J]. Science Technology and Engineering, 2020, 20(9): 3492-3500. Google Scholar
[41]	连志鹏, 徐勇, 付圣, 等. 采用多模型融合方法评价滑坡灾害易发性: 以湖北省五峰县为例[J]. 地质科技通报, 2020, 39(3): 178-186. Google Scholar Lian Z P, Xu Y, Fu S, et al. Landslide susceptibility assessment based on multi-model fusion method: A case study in Wufeng County, Hubei Province[J]. Bulletin of Geological Science and Technology, 2020, 39(3): 178-186. Google Scholar
[42]	周苏华, 付宇航, 徐智文, 等. 基于主客观赋权法的福建省地质灾害易发性评价[J]. 安全与环境学报, 2023, 23(9): 3204-3214. Google Scholar Zhou S H, Fu Y H, Xu Z W, et al. Geological disasters susceptibility mapping in Fujian Province based on subjective and objective weighting[J]. Journal of Safety and Environment, 2023, 23(9): 3204-3214. Google Scholar