Landslide susceptibility evaluation in Badong County based on weights of evidence method

Hu Yan; Li Deying; Meng Songsong; Sun Yiqing

doi:10.19509/j.cnki.dzkq.2020.0320

Volume 39 Issue 3

May 2020

Turn off MathJax

Article Contents

Article Navigation > Bulletin of Geological Science and Technology > 2020 > 39(3): 187-194

Hu Yan, Li Deying, Meng Songsong, Sun Yiqing. Landslide susceptibility evaluation in Badong County based on weights of evidence method[J]. Bulletin of Geological Science and Technology, 2020, 39(3): 187-194. doi: 10.19509/j.cnki.dzkq.2020.0320

Citation:

Hu Yan, Li Deying, Meng Songsong, Sun Yiqing. Landslide susceptibility evaluation in Badong County based on weights of evidence method[J]. Bulletin of Geological Science and Technology, 2020, 39(3): 187-194. doi: 10.19509/j.cnki.dzkq.2020.0320

Citation:

PDF( 2638 KB)

Landslide susceptibility evaluation in Badong County based on weights of evidence method

doi: 10.19509/j.cnki.dzkq.2020.0320

Hu Yan^{1a, 1b
,},
Li Deying^{1b
,
,},
Meng Songsong²,
Sun Yiqing^1b

Received Date: 15 Mar 2019

Abstract

Abstract

Because of its special geographical location and special geological conditions, Badong County becomes a prone zone of geological hazards, especially landslide disasters. It is necessary to research landslide susceptibility evaluation, because of its serious threat to the development of Badong County.First, we extracted the influence factors of the formation and development of landslide respectively and divided the evidence layer on GIS.The influence factors include the formation lithology, geographic and geomorphic conditions, geological structure, and hydrogeological conditions.The weights of evidence method was applied to calculate the weights of each layer of evidence and posterior probability respectively.Then, distribution chart of landslide susceptibility was generated by overlaying posterior probability of evidence layer of each unit. Finally, according to Natural Breaks law, the researched region was divided into five categories:extremely high, high, moderate, low, and extremely low by landslide susceptibility.The sum area of extremely high and high is about 33% of the total area and about 86% of existing landslides occurred in extremely high prone area and high prone area.The result shows good by using the success rate curve test that division.
- landslide,
- weights of evidence method,
- posterior probability,
- susceptibility zonation

FullText(HTML)

References(30)

References

[1]	阮沈勇, 黄润秋.基于GIS的信息量法模型在地质灾害危险性区划中的应用[J].成都理工学院学报, 2001, 28(1):89-92. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=cdlgxyxb200101018
[2]	吴益平, 唐辉明, 姜玮.基于GIS的巴东新县城滑坡灾害风险系统[J].水文地质工程地质, 2003, 30(增刊1):117-121. http://www.cqvip.com/qk/90596X/2003S1/1000378977.html
[3]	石菊松, 张永双, 董诚, 等.基于GIS技术的巴东新城区滑坡灾害危险性区划[J].地球学报, 2005, 26(3):275-282. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dqxb200503014
[4]	刘长春, 殷坤龙, 杜娟.湖北省巴东县城新城区滑坡灾害空间预测[J].中国地质灾害与防治学报, 2009, 20(4):13-18.
[5]	刘斌, 殷坤龙, 刘艺梁.基于栅格数据的巴东新城区滑坡空间预测[J].地质科技情报, 2010, 29(3):133-138. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzkjqb201003022
[6]	魏学勇, 欧阳祖熙, 董东林, 等.库水位涨落条件下滑坡渗流场特征及稳定性分析[J].地质科技情报, 2011, 30(6):128-132. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzkjqb201106019
[7]	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. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzkjqb201801026
[8]	郭天颂, 张菊清, 韩煜, 等.基于粒子群优化支持向量机的延长县滑坡易发性评价[J].地质科技情报, 2019, 38(3):236-243. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzkjqb201903025
[9]	张艳玲, 南征兵, 周平根.利用证据权法实现滑坡易发性分区[J].水文地质工程地质, 2012, 39(2):121-125.
[10]	俞布, 潘文卓, 宋健, 等.杭州市滑坡地质灾害危险性区划与评价[J].岩土力学, 2012, 33(增刊1):193-199, 216. http://www.cnki.com.cn/Article/CJFDTotal-YTLX2012S1031.htm
[11]	王志旺, 李端有, 王湘桂.区域滑坡空间预测方法研究综述[J].长江科学院院报, 2012, 29(5):78-85. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=cjkxyyb201205015
[12]	Cheng Qiuming.Boost W of E:A new sequential weights of evidence model reducing the effect of conditional dependency[J].Mathematical Geosciences, 2015, 47(5):591-621. doi: 10.1007/s11004-014-9578-2
[13]	张生元, 成秋明, 张素萍, 等.加权证据权模型和逐步证据权模型及其在个旧锡铜矿产资源预测中的应用[J].地球科学:中国地质大学学报, 2009, 34(2):281-285. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dqkx200902009
[14]	Liu J, Duan Z.Quantitative assessment of landslide susceptibility comparing statistical Index, index of entropy, and weights of evidence in the Shangnan Area, China[J].Entropy, 2018, 20(11):868-890. doi: 10.3390/e20110868
[15]	Xie Z, Chen G, Meng X, et al.A comparative study of landslide susceptibility mapping using weight of evidence, logistic regression and support vector machine and evaluated by SBAS-InSAR monitoring:Zhouqu to Wudu segment in Bailong River Basin, China[J].Environmental Earth Sciences, 2017, 76:313. doi: 10.1007/s12665-017-6640-7
[16]	Razavizadeh S, Solaimani K, Massironi M, et al.A mapping landslide susceptibility with frequency ratio, statistical index, and weights of evidence models:A case study in Northern Iran[J].Environmental Earth Science, 2017, 76(6):499-515. doi: 10.1007/s12665-017-6839-7
[17]	Ding Q, Chen W, Hong H.Application of frequency ratio, weights of evidence and evidential belief function models in landslide susceptibility mapping[J].Geocarto International, 2017, 32(6):619-639. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=10.1080/10106049.2016.1165294
[18]	Wang L, Guo M, Sawada K, et al.A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network[J].Geosciences Journal, 2016, 20(1):119-136. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=926714142e4dcde1d3041915e8a8b8db
[19]	Bonham-Carter G F, Agterberg F P, Wright D F.Weights of evidence modelling:A new approach to mapping mineral potential[J].Stat.Appl. in Earth Sci., 1989, 89(9):171-183.
[20]	Khoshtinat S, Aminnejad B, Hassanzadeh Y, et al.Application of GIS-based models of weights of evidence, weighting factor, and statistical index in spatial modeling of groundwater[J].IWA Publishing, 2019, 21(5):745-760. http://www.researchgate.net/publication/334383538_Application_of_GIS-based_models_of_weights_of_evidence_weighting_factor_and_statistical_index_in_spatial_modeling_of_groundwater
[21]	Polykretis C, Chalkias C.Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models[J].Natural Hazards, 2018, 93(1):249-274. doi: 10.1007/s11069-018-3299-7
[22]	Hong H, Ilia I, Tsangaratos P, et al.A hybrid fuzzy weight of evidence method in susceptibility analysis on the Wuyuan area, China[J].Geomorphology, 2017, 290:1-16. doi: 10.1016/j.geomorph.2017.04.002
[23]	Regmi A, Devkota K, Yoshida K, et al.Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya[J].Arabian Journal of Geosciences.2014, 7(2):725-742. doi: 10.1007/s12517-012-0807-z
[24]	彭令.三峡库区滑坡灾害风险评估研究[D].武汉: 中国地质大学(武汉), 2013.
[25]	余建英, 何旭宏.数据统计分析与SPSS应用[M].北京:人民邮电出版社, 2003.
[26]	Chen W, Li H, Hou E, et al.GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models[J].Science of the Total Environment, 2018, 634:853-867. doi: 10.1016/j.scitotenv.2018.04.055
[27]	李军, 周成虎.基于栅格GIS滑坡风险评价方法中格网大小选取分析[J].遥感学报, 2003, 7(2):86-92, 161. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygxb200302002
[28]	殷跃平, 胡瑞林.三峡库区巴东组(T₂b)紫红色泥岩工程地质特征研究[J].工程地质学报, 2004, 12(2):124-135. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gcdzxb200402003
[29]	Chung C F, Fabbri A G.Probabilistic prediction models for landslide hazard mapping[J].Photogrammetric Engineering & Remote Sensing, 1999, 65(12):1388-1399. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=0cab7eb40728fd8eecf676c102699b27
[30]	Kayastha P, Dhital M R, De S F.Landslide susceptibility mapping using the weight of evidence method in the Tinau watershed, Nepal[J].Natural Hazards, 2012, 63(2):479-498. doi: 10.1007/s11069-012-0163-z

Relative Articles

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article Metrics

Article Views(656) PDF Downloads(539)

Landslide susceptibility evaluation in Badong County based on weights of evidence method

doi: 10.19509/j.cnki.dzkq.2020.0320

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Related

Landslide susceptibility evaluation in Badong County based on weights of evidence method

doi: 10.19509/j.cnki.dzkq.2020.0320

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Related

Export File

Citation

Format

Content