Landslide susceptibility mapping in East Ungaran, Indonesia: A comparative study using statistical methods

Q3 Social Sciences
Deviana Shinta Maulana, I. Indrawan, I. W. Warmada
{"title":"Landslide susceptibility mapping in East Ungaran, Indonesia: A comparative study using statistical methods","authors":"Deviana Shinta Maulana, I. Indrawan, I. W. Warmada","doi":"10.15243/jdmlm.2024.114.6107","DOIUrl":null,"url":null,"abstract":"East Ungaran, is one of landslide prone areas in Semarang Regency, Indonesia. In addition to provide a more detail map of landslide susceptibility, the objective of this research was to compare performance of three widely used methods, which are the Weight of Evidence (WoE), Logistic Regression (LR) and combined Weight of Evidence (WoE) – Logistic Regression (LR), for landslide susceptibility mapping. Slope, elevation, lithology, land use, normalized difference vegetation index (NDVI), distance from lineament, distance from river, and distance from road were considered as landslide controlling parameters in the research area and were used as input variables in the landslide susceptibility zonation. The results showed that the slope, elevation, and distance from the road are significant parameters causing the landslides. The research area is divided into very low, low, moderate, and high landslide susceptibility zones. The WoE performs better than the LR, while the combined WoE-LR method performs the best among the three methods in predicting landslide susceptibility in this area. The landslide susceptibility map developed using the combined WoE-LR method is suggested to be used for landslide mitigation planning of this area.","PeriodicalId":36513,"journal":{"name":"Journal of Degraded and Mining Lands Management","volume":"118 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Degraded and Mining Lands Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15243/jdmlm.2024.114.6107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

East Ungaran, is one of landslide prone areas in Semarang Regency, Indonesia. In addition to provide a more detail map of landslide susceptibility, the objective of this research was to compare performance of three widely used methods, which are the Weight of Evidence (WoE), Logistic Regression (LR) and combined Weight of Evidence (WoE) – Logistic Regression (LR), for landslide susceptibility mapping. Slope, elevation, lithology, land use, normalized difference vegetation index (NDVI), distance from lineament, distance from river, and distance from road were considered as landslide controlling parameters in the research area and were used as input variables in the landslide susceptibility zonation. The results showed that the slope, elevation, and distance from the road are significant parameters causing the landslides. The research area is divided into very low, low, moderate, and high landslide susceptibility zones. The WoE performs better than the LR, while the combined WoE-LR method performs the best among the three methods in predicting landslide susceptibility in this area. The landslide susceptibility map developed using the combined WoE-LR method is suggested to be used for landslide mitigation planning of this area.
印度尼西亚东翁加兰的滑坡易发性绘图:使用统计方法的比较研究
东翁加兰(East Ungaran)是印度尼西亚三宝垄地区的滑坡易发区之一。为了提供更详细的滑坡易发性地图,本研究旨在比较三种广泛使用的方法,即证据权重法(WoE)、逻辑回归法(LR)和证据权重法-逻辑回归法(LR)在绘制滑坡易发性地图方面的性能。坡度、海拔、岩性、土地利用、归一化差异植被指数(NDVI)、与线状体的距离、与河流的距离和与道路的距离被视为研究区域的滑坡控制参数,并被用作滑坡易发性分区的输入变量。结果表明,坡度、海拔高度和与道路的距离是造成滑坡的重要参数。研究区域被划分为极低、低、中和高滑坡易发区。在预测该地区的滑坡易发性方面,WoE 方法的性能优于 LR 方法,而 WoE-LR 组合方法的性能则是三种方法中最好的。建议将使用 WoE-LR 组合方法绘制的滑坡易发性地图用于该地区的滑坡缓解规划。
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 求助全文
来源期刊
Journal of Degraded and Mining Lands Management
Journal of Degraded and Mining Lands Management Environmental Science-Nature and Landscape Conservation
CiteScore
1.50
自引率
0.00%
发文量
81
审稿时长
4 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信