Influence of changes in extreme daily rainfall distribution on the stability of residual soil slopes

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Big Earth Data Pub Date : 2022-03-27 DOI:10.1080/20964471.2022.2046306
Thapthai Chaithong
{"title":"Influence of changes in extreme daily rainfall distribution on the stability of residual soil slopes","authors":"Thapthai Chaithong","doi":"10.1080/20964471.2022.2046306","DOIUrl":null,"url":null,"abstract":"ABSTRACT Many landslides triggered by intense rainfall have occurred in mountainous areas in Thailand, causing major economic losses and infrastructure damage. Extreme daily rainfall is a significant trigger for hillslope instability. Increases in extreme daily rainfall intensity due to climate change may be one of the key factors responsible for the increased landslides. Thus, in this context, changes in the intensity of extreme daily rainfall in Chiang Mai Province in North Thailand and their effects on hillslope stability are analyzed. Extreme rainfall is modeled using a generalized extreme value distribution and estimated for various return periods. A numerical analysis of seepage and an infinite slope stability model are combined to understand the hillslope response under extreme rainfall conditions. The analysis period is divided into two periods of 34 years: 1952 to 1985 and 1986 to 2019. According to the analysis results, the distribution of extreme daily rainfall changes in terms of location. The average annual daily maximum rainfall increased by approximately 11.13%. The maximum decrease in the safety factor is approximately 4.5%; therefore, these changes in extreme daily rainfall should be considered in future landslide prevention policies.","PeriodicalId":8765,"journal":{"name":"Big Earth Data","volume":"9 3 1","pages":"101 - 125"},"PeriodicalIF":4.2000,"publicationDate":"2022-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Earth Data","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/20964471.2022.2046306","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 1

Abstract

ABSTRACT Many landslides triggered by intense rainfall have occurred in mountainous areas in Thailand, causing major economic losses and infrastructure damage. Extreme daily rainfall is a significant trigger for hillslope instability. Increases in extreme daily rainfall intensity due to climate change may be one of the key factors responsible for the increased landslides. Thus, in this context, changes in the intensity of extreme daily rainfall in Chiang Mai Province in North Thailand and their effects on hillslope stability are analyzed. Extreme rainfall is modeled using a generalized extreme value distribution and estimated for various return periods. A numerical analysis of seepage and an infinite slope stability model are combined to understand the hillslope response under extreme rainfall conditions. The analysis period is divided into two periods of 34 years: 1952 to 1985 and 1986 to 2019. According to the analysis results, the distribution of extreme daily rainfall changes in terms of location. The average annual daily maximum rainfall increased by approximately 11.13%. The maximum decrease in the safety factor is approximately 4.5%; therefore, these changes in extreme daily rainfall should be considered in future landslide prevention policies.
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
极端日降水分布变化对残积土边坡稳定性的影响
泰国山区因强降雨引发多次山体滑坡,造成重大经济损失和基础设施破坏。极端的日降雨量是山坡不稳定的重要诱因。气候变化导致的极端日降雨强度增加可能是造成滑坡增加的关键因素之一。因此,在此背景下,分析了泰国北部清迈省极端日降雨强度的变化及其对山坡稳定性的影响。极端降雨采用广义极值分布进行建模,并对不同的回归期进行估计。将渗流数值分析与无限边坡稳定模型相结合,研究了极端降雨条件下边坡的响应。分析周期分为1952 - 1985和1986 - 2019两个34年的周期。分析结果表明,极端日降雨量的分布随地理位置的变化而变化。年平均日最大降雨量增加约11.13%。安全系数最大降幅约为4.5%;因此,在未来的滑坡防治政策中应考虑这些极端日降雨量的变化。
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
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
期刊最新文献
A dataset of lake level changes in China between 2002 and 2023 using multi-altimeter data The first 10 m resolution thermokarst lake and pond dataset for the Lena Basin in the 2020 thawing season A high-resolution dataset for lower atmospheric process studies over the Tibetan Plateau from 1981 to 2020 An application of 1D convolution and deep learning to remote sensing modelling of Secchi depth in the northern Adriatic Sea A mediation system for continuous spatial queries on a unified schema using Apache Spark
×
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