Fatal landslides in Kencho, Shacha & Gozdi villages, Gofa zone, Ethiopia: A detailed investigation (Geological, Geotechnical, geophysical & geospatial) of the July 22, 2024 catastrophe and its socioeconomic repercussions

IF 2.9 Q2 GEOGRAPHY, PHYSICAL Quaternary Science Advances Pub Date : 2024-09-16 DOI:10.1016/j.qsa.2024.100241
Leulalem Shano , Bisirat Gisila , Wondwosen Jerene , Desta Ekaso , Tigabu Baye , Tariku Degife , Geberemedin Chameno , Zeleke Dosa , Muralitharan Jothimani
{"title":"Fatal landslides in Kencho, Shacha & Gozdi villages, Gofa zone, Ethiopia: A detailed investigation (Geological, Geotechnical, geophysical & geospatial) of the July 22, 2024 catastrophe and its socioeconomic repercussions","authors":"Leulalem Shano ,&nbsp;Bisirat Gisila ,&nbsp;Wondwosen Jerene ,&nbsp;Desta Ekaso ,&nbsp;Tigabu Baye ,&nbsp;Tariku Degife ,&nbsp;Geberemedin Chameno ,&nbsp;Zeleke Dosa ,&nbsp;Muralitharan Jothimani","doi":"10.1016/j.qsa.2024.100241","DOIUrl":null,"url":null,"abstract":"<div><div>A landslide is one of the geological hazards that cause the most disaster in densely populated areas. The landslide that occurred in Gezie Gofa woreda, Gofa Zone, Kencho Shacha Gozdi village, killed more than 250 people. Two landslides occurred on July 22, 2024, at 8:30 and 10:40 AM The first landslide killed six people and demolished three houses. The second landslide killed more than 245 people, including those who came to the site to excavate the buried bodies during the first landslide. The primary objective of this research is to evaluate the landslide causative factors, model the landslide susceptibility, and characterize the landslide disaster on socioeconomic effects that occurred on July 22, 2024. The landslide inventory data, field surveys, laboratory analyses, and various geophysical surveys characterized the current and past landslides of the area. The landslide susceptibility model was modeled using a statistical approach in the GIS. environment. The socioeconomic effects were assessed using field surveys and systematic interviews with the victims. The conditioning factors selected for landslide susceptibility modeling are lithology, geological structures, groundwater, slope, land use or land cover, aspect, curvature, and elevation. The major triggering factor of the landslide in the area was heavy rainfall, which occurred on July 21–22, 2024, between 3:00 a.m.-8:30 a.m. The results reveal that the significant conditioning factors of the landslide in the study area are geological structures (both visible and inferred), groundwater, slopes, and human activities. The characterized socioeconomic effects include the destruction of agricultural land, the demolishing of houses, and the loss of human lives, as well as several people evacuated and sheltered under tents and churches. However, the most momentous disaster in the area is the loss of human life. Based on the research results, it would be better to relocate those people living in the high landslide susceptible zones, and all high landslide-prone areas and mountainous terrain in southern Ethiopia should be mapped, and the people should be aware of the landslide risk areas.</div></div>","PeriodicalId":34142,"journal":{"name":"Quaternary Science Advances","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666033424000790/pdfft?md5=ab2c67342dd7ab845972981d0f49fe84&pid=1-s2.0-S2666033424000790-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quaternary Science Advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666033424000790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

A landslide is one of the geological hazards that cause the most disaster in densely populated areas. The landslide that occurred in Gezie Gofa woreda, Gofa Zone, Kencho Shacha Gozdi village, killed more than 250 people. Two landslides occurred on July 22, 2024, at 8:30 and 10:40 AM The first landslide killed six people and demolished three houses. The second landslide killed more than 245 people, including those who came to the site to excavate the buried bodies during the first landslide. The primary objective of this research is to evaluate the landslide causative factors, model the landslide susceptibility, and characterize the landslide disaster on socioeconomic effects that occurred on July 22, 2024. The landslide inventory data, field surveys, laboratory analyses, and various geophysical surveys characterized the current and past landslides of the area. The landslide susceptibility model was modeled using a statistical approach in the GIS. environment. The socioeconomic effects were assessed using field surveys and systematic interviews with the victims. The conditioning factors selected for landslide susceptibility modeling are lithology, geological structures, groundwater, slope, land use or land cover, aspect, curvature, and elevation. The major triggering factor of the landslide in the area was heavy rainfall, which occurred on July 21–22, 2024, between 3:00 a.m.-8:30 a.m. The results reveal that the significant conditioning factors of the landslide in the study area are geological structures (both visible and inferred), groundwater, slopes, and human activities. The characterized socioeconomic effects include the destruction of agricultural land, the demolishing of houses, and the loss of human lives, as well as several people evacuated and sheltered under tents and churches. However, the most momentous disaster in the area is the loss of human life. Based on the research results, it would be better to relocate those people living in the high landslide susceptible zones, and all high landslide-prone areas and mountainous terrain in southern Ethiopia should be mapped, and the people should be aware of the landslide risk areas.
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
埃塞俄比亚戈法地区 Kencho、Shacha 和 Gozdi 村的致命山体滑坡:2024 年 7 月 22 日灾难及其社会经济影响的详细调查(地质、岩土、地球物理和地球空间
山体滑坡是地质灾害之一,在人口稠密地区造成的灾害最为严重。发生在戈法区 Gezie Gofa 县 Kencho Shacha Gozdi 村的山体滑坡造成 250 多人死亡。2024 年 7 月 22 日上午 8:30 和 10:40 发生了两次山体滑坡,第一次山体滑坡造成 6 人死亡,3 栋房屋被毁。第二次山体滑坡造成超过 245 人死亡,其中包括在第一次山体滑坡期间到现场挖掘被掩埋尸体的人员。本研究的主要目的是对 2024 年 7 月 22 日发生的滑坡致灾因素进行评估,建立滑坡易发性模型,并描述滑坡灾害对社会经济的影响。通过滑坡清单数据、实地调查、实验室分析和各种地球物理调查,对该地区当前和过去的滑坡进行了特征描述。在 GIS 环境中使用统计方法建立了滑坡易发性模型。通过实地调查和对灾民的系统访谈,对社会经济影响进行了评估。滑坡易发性模型所选的条件因素包括岩性、地质结构、地下水、坡度、土地利用或土地覆盖、坡度、曲率和海拔。该地区滑坡的主要诱发因素是 2024 年 7 月 21-22 日凌晨 3:00-8:30 之间的强降雨。结果显示,研究地区滑坡的重要影响因素是地质结构(包括可见的和推断的)、地下水、斜坡和人类活动。社会经济影响的特点包括农田被毁、房屋被拆、人员伤亡,以及一些人被疏散到帐篷和教堂中避难。然而,该地区最严重的灾害是人员伤亡。根据研究结果,最好将居住在滑坡高发区的居民迁移到其他地方,并绘制埃塞俄比亚南部所有滑坡高发区和山区地形图,让人们了解滑坡危险区。
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
Quaternary Science Advances
Quaternary Science Advances Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
4.00
自引率
13.30%
发文量
16
审稿时长
61 days
期刊最新文献
Tracing drainage capture between the two large tributaries of the Yangtze River in the southeastern Tibetan plateau: Insights from detrital apatite fission-track thermochronology GIS and remote sensing-based wildlife habitat suitability analysis for Mountain Nyala (Tragelaphus buxtoni) at Bale Mountains National Park, Ethiopia Combined GIS, FR and AHP approaches to landslide susceptibility and risk zonation in the Baso Liben district, Northwestern Ethiopia Cultural rhythms and pulses on MIS 5-3 migration episodes of Homo sapiens dispersal in Northeast Africa Middle Stone Age technological organisation from MIS 5 at Mertenhof Rockshelter, South Africa
×
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