HEC-RAS 2D modeling for flood inundation mapping: a case study of the Krishna River Basin

IF 1.6 Q3 WATER RESOURCES Water Practice and Technology Pub Date : 2023-04-06 DOI:10.2166/wpt.2023.048
Komal Vashist, K. K. Singh
{"title":"HEC-RAS 2D modeling for flood inundation mapping: a case study of the Krishna River Basin","authors":"Komal Vashist, K. K. Singh","doi":"10.2166/wpt.2023.048","DOIUrl":null,"url":null,"abstract":"\n Floods are catastrophic natural disasters that cause a substantial toll on human lives, infrastructure, and the economy. Structural and non-structural measures are developed for planning flood mitigation strategies. Flood inundation mapping is valuable information for decision-makers and authorities to develop flood mitigation strategies and resource allocation. This study uses the HEC-RAS 2D model for flood inundation mapping in the Krishna River Basin. Digital elevation models (DEMs) of 12.5 and 30 m resolutions were used to model the inundation map. The study also investigated the effect of change in upstream boundary data on the inundated area. The simulated results with 12.5 m resolution DEM are found in good agreement with the validation data and conform to the inundated areas with the available reports. This study proves the 2D capabilities of HEC-RAS and helps the experts with better management practices.","PeriodicalId":23794,"journal":{"name":"Water Practice and Technology","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Practice and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/wpt.2023.048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0

Abstract

Floods are catastrophic natural disasters that cause a substantial toll on human lives, infrastructure, and the economy. Structural and non-structural measures are developed for planning flood mitigation strategies. Flood inundation mapping is valuable information for decision-makers and authorities to develop flood mitigation strategies and resource allocation. This study uses the HEC-RAS 2D model for flood inundation mapping in the Krishna River Basin. Digital elevation models (DEMs) of 12.5 and 30 m resolutions were used to model the inundation map. The study also investigated the effect of change in upstream boundary data on the inundated area. The simulated results with 12.5 m resolution DEM are found in good agreement with the validation data and conform to the inundated areas with the available reports. This study proves the 2D capabilities of HEC-RAS and helps the experts with better management practices.
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
用于洪水淹没制图的HEC-RAS 2D建模:以克里希纳河流域为例
洪水是灾难性的自然灾害,对人类生命、基础设施和经济造成重大损失。为规划防洪战略,制定了结构和非结构措施。洪水淹没图是决策者和当局制定洪水缓解战略和资源分配的宝贵信息。本研究使用HEC-RAS 2D模型对克里希纳河流域进行洪水淹没制图。采用12.5 m和30 m分辨率的数字高程模型(dem)模拟淹没图。研究了上游边界数据变化对淹没面积的影响。12.5 m分辨率DEM的模拟结果与验证数据吻合较好,与现有报告的淹没区域吻合较好。该研究证明了HEC-RAS的二维能力,并有助于专家更好地进行管理实践。
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
2.30
自引率
6.20%
发文量
136
审稿时长
14 weeks
期刊最新文献
Review of historical plumbing codes for lead service line inventories in the United States. Hydro-geochemical characterisation and modelling of groundwater in Chikun Local Government Area of Kaduna state, Nigeria A methodology for temporal disaggregation of daily rain gauge data using satellite precipitation product for improved accuracy in hydrologic simulation ACWA: an AI-driven cyber-physical testbed for intelligent water systems Phosphorus removal from ore waste in aqueous solution with different mass of ore waste adsorbent from the Johor mine site
×
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:604180095
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