SUSCEPTIBILITY ASSESSMENT OF EARTHQUAKE-INDUCED LANDSLIDES: THE 2018 PALU, SULAWESI MW 7.5 EARTHQUAKE, INDONESIA

IF 1.2 Q3 GEOSCIENCES, MULTIDISCIPLINARY Rudarsko-Geolosko-Naftni Zbornik Pub Date : 2023-01-01 DOI:10.17794/rgn.2023.3.4
Yukni Arifianti, P. Pamela, P. Iqbal, S. Sumaryono, A. Omang, H. Lestiana
{"title":"SUSCEPTIBILITY ASSESSMENT OF EARTHQUAKE-INDUCED LANDSLIDES: THE 2018 PALU, SULAWESI MW 7.5 EARTHQUAKE, INDONESIA","authors":"Yukni Arifianti, P. Pamela, P. Iqbal, S. Sumaryono, A. Omang, H. Lestiana","doi":"10.17794/rgn.2023.3.4","DOIUrl":null,"url":null,"abstract":"A catastrophic Palu earthquake on September 28th, 2018 with Mw 7.5 triggered countless slope failures, generating numerous landslides. This paper presents a practical method for susceptibility assessment of earthquake-induced landslides in the Palu region and the surrounding area. The statistical weight of evidence (WoE) model was used to assess the relationship between landslides induced by seismic motion and its causative factors to determine the susceptibility level and derive an earthquake-induced landslide susceptibility map of this study area. The 1273 landslides were classified into two data series, training data for modelling (70%) and test data for validation (30%). The six selected thematic maps as landslide causative factors are lithology, land use, peak ground acceleration (PGA), and slope (gradient, aspect, elevation). The selection of causative factors considerably influences the frequency of landslides in the area. The result is satisfactory because the AUC value of the chosen model excelled the minimum limit, which is 0.6 (60%). The estimated success rate of the model is 85.7%, which shows that the relevancy of the model is good with the occurrence of landslides. The prediction rate of 84.6% indicates that the applied model is very good at predicting new landslides.","PeriodicalId":44536,"journal":{"name":"Rudarsko-Geolosko-Naftni Zbornik","volume":"1 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rudarsko-Geolosko-Naftni Zbornik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17794/rgn.2023.3.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

Abstract

A catastrophic Palu earthquake on September 28th, 2018 with Mw 7.5 triggered countless slope failures, generating numerous landslides. This paper presents a practical method for susceptibility assessment of earthquake-induced landslides in the Palu region and the surrounding area. The statistical weight of evidence (WoE) model was used to assess the relationship between landslides induced by seismic motion and its causative factors to determine the susceptibility level and derive an earthquake-induced landslide susceptibility map of this study area. The 1273 landslides were classified into two data series, training data for modelling (70%) and test data for validation (30%). The six selected thematic maps as landslide causative factors are lithology, land use, peak ground acceleration (PGA), and slope (gradient, aspect, elevation). The selection of causative factors considerably influences the frequency of landslides in the area. The result is satisfactory because the AUC value of the chosen model excelled the minimum limit, which is 0.6 (60%). The estimated success rate of the model is 85.7%, which shows that the relevancy of the model is good with the occurrence of landslides. The prediction rate of 84.6% indicates that the applied model is very good at predicting new landslides.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
地震诱发滑坡的易感性评估:2018年印度尼西亚苏拉威西岛帕卢7.5级地震
2018年9月28日,帕卢发生了里氏7.5级的灾难性地震,引发了无数次滑坡。本文提出了一种实用的帕卢地区及周边地区地震诱发滑坡易感性评价方法。采用统计证据权(WoE)模型对地震诱发滑坡与其成因之间的关系进行评价,确定地震诱发滑坡的易感性等级,并绘制研究区地震诱发滑坡易感性图。将1273个滑坡分为两个数据序列,用于建模的训练数据(70%)和用于验证的测试数据(30%)。选定的6个专题图为滑坡成因,分别是岩性、土地利用、峰值地面加速度(PGA)和坡度(坡度、坡向、高程)。诱发因素的选择对该地区滑坡的发生频率有很大影响。所选模型的AUC值超过了0.6(60%)的最小限值,结果令人满意。模型的估计成功率为85.7%,表明模型与滑坡发生的相关性较好。预测率为84.6%,表明所应用的模型对新的滑坡具有较好的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.50
自引率
15.40%
发文量
50
审稿时长
12 weeks
期刊最新文献
A NEW TECHNIQUE BASED ON ANT COLONY OPTIMIZATION FOR DESIGNING MINING PUSHBACKS IN THE PRESENCE OF GEOLOGICAL UNCERTAINTY IMPROVED CONCEPTUAL DESIGN OF LILW REPOSITORY ONE-STEP ELECTROCHEMICAL SYNTHESIS OF PEDOT BASED COMPOSITES FOR SUPERCAPACITOR APPLICATIONS A COMPARATIVE STUDY OF THE BIVARIATE STATISTICAL METHODS AND THE ANALYTICAL HIERARCHICAL PROCESS FOR THE ASSESSMENT OF MASS MOVEMENT SUSCEPTIBILITY. A CASE STUDY: THE LM-116 ROAD – PERU THE INTERACTION AND SYNERGIC EFFECT OF PARTICLE SIZE ON FLOTATION EFFICIENCY: A COMPARISON STUDY OF RECOVERY BY SIZE, AND BY LIBERATION BETWEEN LAB AND INDUSTRIAL SCALE DATA
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1