Compound Flooding Hazards Due To Storm Surge and Pluvial Flow in a Low-Gradient Coastal Region

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2024-11-25 DOI:10.1029/2023wr037014
Sunghoon Han, Navid Tahvildari
{"title":"Compound Flooding Hazards Due To Storm Surge and Pluvial Flow in a Low-Gradient Coastal Region","authors":"Sunghoon Han, Navid Tahvildari","doi":"10.1029/2023wr037014","DOIUrl":null,"url":null,"abstract":"Flood risk analyses often focus on a single flooding source, typically storm surge or rainfall-driven flooding, depending on the predominant threat. However, hurricanes frequently cause compound flooding through significant storm surges accompanied by heavy rainfall. This study employs a hydrodynamic model based on Delft3D-Flexible Mesh that couples flow, waves, and rainfall-driven flow to simulate five historical tropical cyclones in Virginia's southeast coastal region. These storms produced varying intensities of storm surge and rainfall in the study area. Model simulations, incorporating rainfall through a rain-on-grid approach, account for the dynamic interaction between storm tides, and pluvial flow and enable the definition of flood zones as hydrologic, transitional, and coastal zones. This compound flooding model was validated with water level data from in-water and overland gauges. The results indicate that the magnitude of the coastal zone correlates strongly with the extent of the surge-inundated area (SIA) obtained from simulations that only considered storm surges. The extent of the transitional zone correlates strongly with the product of SIA and total rainfall. As an additional measure for flood hazards besides water depth, we calculated flow momentum flux at different flood zones to assess potential damage from hydrodynamic loads on structures, vehicles, and pedestrians. A strong correlation was found between the magnitude of the surge and momentum flux. Furthermore, high rainfall rates and winds can cause a significant increase in momentum flux locally. Understanding flood zones and their flow dynamics helps to identify effective flood risk management strategies that address the dominant flood driver.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"20 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2023wr037014","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Flood risk analyses often focus on a single flooding source, typically storm surge or rainfall-driven flooding, depending on the predominant threat. However, hurricanes frequently cause compound flooding through significant storm surges accompanied by heavy rainfall. This study employs a hydrodynamic model based on Delft3D-Flexible Mesh that couples flow, waves, and rainfall-driven flow to simulate five historical tropical cyclones in Virginia's southeast coastal region. These storms produced varying intensities of storm surge and rainfall in the study area. Model simulations, incorporating rainfall through a rain-on-grid approach, account for the dynamic interaction between storm tides, and pluvial flow and enable the definition of flood zones as hydrologic, transitional, and coastal zones. This compound flooding model was validated with water level data from in-water and overland gauges. The results indicate that the magnitude of the coastal zone correlates strongly with the extent of the surge-inundated area (SIA) obtained from simulations that only considered storm surges. The extent of the transitional zone correlates strongly with the product of SIA and total rainfall. As an additional measure for flood hazards besides water depth, we calculated flow momentum flux at different flood zones to assess potential damage from hydrodynamic loads on structures, vehicles, and pedestrians. A strong correlation was found between the magnitude of the surge and momentum flux. Furthermore, high rainfall rates and winds can cause a significant increase in momentum flux locally. Understanding flood zones and their flow dynamics helps to identify effective flood risk management strategies that address the dominant flood driver.
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
低梯度沿海地区风暴潮和冲积流造成的复合洪水灾害
洪水风险分析通常侧重于单一洪水来源,通常是风暴潮或降雨导致的洪水,具体取决于主要威胁。然而,飓风经常通过伴随暴雨的巨大风暴潮造成复合洪水。本研究采用基于 Delft3D-Flexible Mesh 的流体力学模型,将流、波浪和降雨驱动的流结合在一起,模拟了弗吉尼亚东南沿海地区历史上的五次热带气旋。这些风暴在研究区域产生了不同强度的风暴潮和降雨。模型模拟通过栅上降雨方法将降雨纳入其中,考虑了风暴潮和冲积流之间的动态互 动,并将洪水区定义为水文区、过渡区和沿岸区。这一复合洪水模型通过水内和水上测量仪的水位数据进行了验证。结果表明,沿岸带的大小与只考虑风暴潮的模拟所得到的浪涌淹没区(SIA)的范围密切相关。过渡带的范围与 SIA 和总降雨量的乘积密切相关。除水深外,我们还计算了不同淹没区的水流动量通量,以评估水动力负荷对建筑物、车辆和行人可能造成的损害,作为洪水危害的额外衡量标准。结果发现,洪峰的规模与动量通量之间存在很强的相关性。此外,高降雨率和大风也会导致局部动量通量显著增加。了解洪泛区及其水流动力学有助于确定有效的洪水风险管理策略,以应对主要的洪水驱动因素。
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
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
期刊最新文献
Influence of Evaporation and High-Frequency Seawater Inundation on Salinity Dynamics in Swash Zones An Attention-Based Explainable Deep Learning Approach to Spatially Distributed Hydrologic Modeling of a Snow Dominated Mountainous Karst Watershed Reply to Comment on “Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling” by Jasper Vrugt Compound Flooding Hazards Due To Storm Surge and Pluvial Flow in a Low-Gradient Coastal Region Improving the Parameterization of Complex Subsurface Flow Properties With Style-Based Generative Adversarial Network (StyleGAN)
×
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