湖南省汨罗市滑坡风险评价

doi:10.19388/j.zgdzdc.2024.102

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (17686 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Miluo City of Hunan Province features diverse and complex topography, rich landforms, and frequent human activities, resulting in a relatively high incidence of landslides. In order to prevent the casualties caused by landslides, the authors conducted landslide risk assessment and proposed corresponding risk control measures. Firstly, the latest landslide data for Miluo City were collected, and susceptibility of landslides in Miluo City was assessed using certainty factors and a neural network multi-layer perceptron approach, on the basis of factors such as elevation, slope, and face of slope. Then, the landslide hazard under rainfall conditions was evaluated. And the data of buildings, roads, and the population distribution threatened by landslide were collected to assess the landslides vulnerability in Miluo City. Finally, landslide risk assessments results were obtained through matrix degree division and risk control strategies were discussed. The results indicated that the western and eastern part of Chuanshanping Town, the western and eastern part of Bishi Town, the eastern part of Sanjiang Town and the eastern part of Changle Town were in high risk of landslides. The areas cover approximately 239.56 km² and encompassed 103 landslides, accounting for 72.54% of the total landslides. Effective landslide risk control requires a combination of point control and area control, implementing both people-oriented and technical preventive measures. The research findings could contribute to the scientific and rational implementation of disaster prevention, reduction, and post-disaster rescue efforts, holding significant practical importance in enhancing social safety, stability, and economic development.

Key words： landslides hazard assessment vulnerability assessment risk assessment Miluo City

Received: 05 January 2024

ZTFLH:

P694

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHONG Linjun
	WANG Jixiang
	ZHAO Shuanglin
	DAI Cong
	ZHANG Shuai

Cite this article:

ZHONG Linjun,WANG Jixiang,ZHAO Shuanglin, et al. Landslide risk assessment in Miluo City of Hunan Province[J]. , 2024, 11(4): 114-123.

URL:

http://journal25.magtechjournal.com/Jwk_dzdc/EN/10.19388/j.zgdzdc.2024.102 OR http://journal25.magtechjournal.com/Jwk_dzdc/EN/Y2024/V11/I4/114

[1] 刘克宏,高赛.成功预警造就“零伤亡”奇迹[N].岳阳晚报,2010-06-25(003).
Liu K H,Gao S.Successful warning creates a miracle of “zero casualties”[N].Yueyang Evening News,2010-06-25(003).
[2] 张奎,李高祥,郑良飞.汨罗市308线公路某滑坡变形监测及预测研究[J].中国新技术新产品,2009(13):42-43.
Zhang K,Li G X,Zheng L F.Monitoring and prediction of landslide deformation on highway 308 in Miluo City[J].New Technology & New Products of China,2009(13):42-43.
[3] 陈芯宇,师芸,温永啸,等.基于确定性系数与支持向量机的滑坡易发性评价[J].科学技术与工程,2023,23(2):518-527.
Chen X Y,Shi Y,Wen Y X,et al.Landslide susceptibility evaluation based on certainty factor and support vector machines[J].Science Technology and Engineering,2023,23(2):518-527.
[4] 王芳,殷坤龙,桂蕾,等.不同日降雨工况下万州区滑坡灾害危险性分析[J].地质科技情报,2018,37(1):190-195,203.
Wang F,Yin K L,Gui L,et al.Landslide hazard analysis under different daily rainfall conditions in Wanzhou district[J].Geological Science and Technology Information,2018,37(1):190-195 203.
[5] 田春山,刘希林,汪佳.基于CF和Logistic回归模型的广东省地质灾害易发性评价[J].水文地质工程地质,2016,43(6):154-161,170.
Tian C S,Liu X L,Wang J.Geohazard susceptibility assessment based on CF model and logistic regression models in Guangdong[J].Hydrogeology & Engineering Geology,2016,43(6):154-161,170.
[6] 王娅美,张紫昭,张艳阳,等.基于多种组合模型的新疆巩留县滑坡危险性评价研究[J].工程地质学报,2023,31(4):1375-1393.
Wang Y M,Zhang Z Z,Zhang Y Y,et al.Landslide risk assessment of Gongliu County in Xinjiang based on multiple combination models[J].Journal of Engineering Geology,2023,31(4):1375-1393.
[7] Xiao T,Zhang L M,Cheung R W M,et al.Predicting spatio-temporal man-made slope failures induced by rainfall in Hong Kong using machine learning techniques[J].Géotechnique,2023,73(9):749-765.
[8] He J,Zhang L M,Xiao T,et al.Prompt quantitative risk assessment for rain-induced landslides[J].Journal of Geotechnical and Geoenvironmental Engineering,2023,149(5):04023023.
[9] Lu M,Zhang J,Zhang L L,et al.Assessing the annual risk of vehicles being hit by a rainfall-induced landslide:a case study on Kennedy Road in Wan Chai,Hong Kong[J].Natural Hazards and Earth System Sciences,2020,20(6):1833-1846.
[10] Zhang S,Zhang L M,Peng M,et al.Assessment of risks of loose landslide deposits formed by the 2008 Wenchuan earthquake[J].Natural Hazards and Earth System Sciences,2012,12(5):1381-1392.
[11] 李慎鹏,张建新,项广鑫,等.生态文明建设背景下的国土资源环境承载力评价技术[J].中国农学通报,2018,34(24):82-87.
Li S P,Zhang J X,Xiang G X,et al.Evaluation techniques of environmental carrying capacity of land and resources in the context of ecological civilization construction[J].Chinese Agricultural Science Bulletin,2018,34(24):82-87.
[12] 李慎鹏,项广鑫,曾毅,等.面向空间规划的土地适宜性评价——以汨罗市为例[J].亚热带资源与环境学报,2019,14(2):74-82.
Li S P,Xiang G X,Zeng Y,et al.Suitability evaluation of land for space planning:A case study of Miluo city[J].Journal of Subtropical Resources and Environment,2019,14(2):74-82.
[13] Shortliffe E H,Buchanan B G.A model of inexact reasoning in medicine[J].Mathematical Biosciences,1975,23(3-4):351-379.
[14] Handwerger A L,Huang M H,Fielding E J,et al.A shift from drought to extreme rainfall drives a stable landslide to catastrophic failure[J].Scientific Reports,2019,9(1):1569.
[15] 罗金. 基于各类机器学习方法的滑坡易发性评价及软件系统开发[D].西安:长安大学,2021.
Luo J.Evaluation of Landslide Susceptibility and Software System Development Based on Various Machine Learning Methods[D].Xi'an:Chang'an University,2021.
[16] Dai C,Li W L,Lu H Y,et al.Landslide hazard assessment method considering the deformation factor:A case study of Zhouqu,Gansu Province,northwest China[J].Remote Sensing,2023,15(3):596.
[17] 陈成名. 西南山区城镇地质灾害易损性评价理论与实践——以汶川县为例[D].成都:成都理工大学,2010.
Chen C M.Study on Vulnerability Assessment of Geological Hazards in Southwest Mountainous Towns:Taking Wenchuan County Town as An Example[D].Chengdu:Chengdu University of Technology,2010.
[18] 杨盼盼,王念秦,郭有金,等.基于加权信息量模型的临潼区滑坡易发性评价[J].长江科学院院报,2020,37(9):50-56.
Yang P P,Wang N Q,Guo Y J,et al.Assessment of landslide susceptibility in Lintong district using weighted information value model[J].Journal of Yangtze River Scientific Research Institute,2020,37(9):50-56.
[19] 冷洋洋,向喜琼,陶小郎,等.基于CF-AHP法的风险斜坡识别方法研究[J].科学技术与工程,2022,22(32):14137-14147.
Leng Y Y,Xiang X Q,Tao X L,et al.Risk slope identification method based on CF-AHP[J].Science Technology and Engineering,2022,22(32):14137-14147.
[20] 张春慧,陈美招,郑荣宝.基于“3S”技术和LR-WSVM模型的广州市花都区滑坡灾害风险评估与区划[J].生态与农村环境学报,2015,31(6):955-962.
Zhang C H,Chen M Z,Zheng R B.Landslide hazard risk assessment and zoning of Huadu district of Guangzhou based on “3S” technique and logistic regress-weighted SVM model[J].Journal of Ecology and Rural Environment,2015,31(6):955-962.
[21] 铁永波,徐伟,向炳霖,等.西南地区地质灾害风险“点面双控”体系构建与思考[J].中国地质灾害与防治学报,2022,33(3):106-113.
Tie Y B,Xu W,Xiang B L,et al.The thoughts on construction of “double-control of point and zone” system of geological hazard risk in southwest China[J].The Chinese Journal of Geological Hazard and Control,2022,33(3):106-113.
[22] 王高峰,李刚,孙向东,等.甘肃南部山区城镇地质灾害风险双控模式初探[J/OL].中国地质,2023:1-21.http://kns.cnki.net/kcms/detail/11.1167.p.20230505.0935.004.html.
Wang G F,Li G,Sun X D,et al.Preliminary study on the “point-surface dual control” model of geological hazard risk in typical mountainous towns in Gansu Province[J/OL].Geology in China,2023:1-21.http://kns.cnki.net/kcms/detail/11.1167.p.20230505.0935.004.html.