红海极端海平面统计分析

IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Ocean Engineering Pub Date : 2024-11-06 DOI:10.1016/j.oceaneng.2024.119689
Charls Antony , Sabique Langodan , Ibrahim Hoteit
{"title":"红海极端海平面统计分析","authors":"Charls Antony ,&nbsp;Sabique Langodan ,&nbsp;Ibrahim Hoteit","doi":"10.1016/j.oceaneng.2024.119689","DOIUrl":null,"url":null,"abstract":"<div><div>Coastal areas frequently experience high-sea-level events that can cause property damage and loss of life. From a coastal engineering perspective, accurately estimating the probability of extreme sea levels is crucial for designing robust coastal structures. While these estimates are typically based on long-term tide-gauge observations, sea-level hindcasts are also used when available data are limited. This study obtained estimates of extreme sea-level probabilities for the Red Sea, utilizing a 30-year dataset (1993–2022) containing hourly sea level records reconstructed using a surge model (MOG2D), a global tide model (FES2014), and sea-level anomaly data from satellite altimeters. The reconstructed sea-level data were validated against measurements from six tide gauges along the eastern Red Sea and demonstrated good agreement. Spatial maps of extreme sea levels indicated values ranging from approximately 0.4 to 1.8 m. The highest estimates for the 100-year return level were found in the northern Gulf of Suez, with elevated values also observed in the northern and southern Red Sea. Furthermore, we assessed the impact of sea-level rise on extreme sea-level probabilities. Our results revealed that even small increments in the mean sea level could lead to considerable changes in extreme sea-level probabilities across most of the Red Sea. Overall, our findings are valuable for various coastal development projects along the Red Sea coast and for improving coastal vulnerability assessments.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"314 ","pages":"Article 119689"},"PeriodicalIF":4.6000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical analysis of extreme sea levels in the Red Sea\",\"authors\":\"Charls Antony ,&nbsp;Sabique Langodan ,&nbsp;Ibrahim Hoteit\",\"doi\":\"10.1016/j.oceaneng.2024.119689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Coastal areas frequently experience high-sea-level events that can cause property damage and loss of life. From a coastal engineering perspective, accurately estimating the probability of extreme sea levels is crucial for designing robust coastal structures. While these estimates are typically based on long-term tide-gauge observations, sea-level hindcasts are also used when available data are limited. This study obtained estimates of extreme sea-level probabilities for the Red Sea, utilizing a 30-year dataset (1993–2022) containing hourly sea level records reconstructed using a surge model (MOG2D), a global tide model (FES2014), and sea-level anomaly data from satellite altimeters. The reconstructed sea-level data were validated against measurements from six tide gauges along the eastern Red Sea and demonstrated good agreement. Spatial maps of extreme sea levels indicated values ranging from approximately 0.4 to 1.8 m. The highest estimates for the 100-year return level were found in the northern Gulf of Suez, with elevated values also observed in the northern and southern Red Sea. Furthermore, we assessed the impact of sea-level rise on extreme sea-level probabilities. Our results revealed that even small increments in the mean sea level could lead to considerable changes in extreme sea-level probabilities across most of the Red Sea. Overall, our findings are valuable for various coastal development projects along the Red Sea coast and for improving coastal vulnerability assessments.</div></div>\",\"PeriodicalId\":19403,\"journal\":{\"name\":\"Ocean Engineering\",\"volume\":\"314 \",\"pages\":\"Article 119689\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ocean Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0029801824030270\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0029801824030270","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

摘要

沿海地区经常发生高海平面事件,可能造成财产损失和人员伤亡。从海岸工程的角度来看,准确估算极端海平面发生的概率对设计坚固的海岸结构至关重 要。虽然这些估算通常基于长期的验潮观测数据,但在可用数据有限的情况下,也会使用海平面后报。本研究利用一个 30 年数据集(1993-2022 年)对红海的极端海平面概率进行了估算,该数据集包含利用浪涌模型(MOG2D)、全球潮汐模型(FES2014)和卫星高度计海平面异常数据重建的每小时海平面记录。重建的海平面数据与红海东部沿岸六个验潮仪的测量数据进行了验证,结果显示两者吻合良好。极端海平面的空间分布图显示了约 0.4 至 1.8 米不等的海平面值。苏伊士湾北部的百年重现海平面估计值最高,红海北部和南部也观测到了较高的海平面值。此外,我们还评估了海平面上升对极端海平面概率的影响。我们的结果表明,即使平均海平面略有上升,也会导致红海大部分地区的极端海平面概率发生相当大的变化。总之,我们的研究结果对红海沿岸的各种沿海开发项目和改进沿海脆弱性评估都很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Statistical analysis of extreme sea levels in the Red Sea
Coastal areas frequently experience high-sea-level events that can cause property damage and loss of life. From a coastal engineering perspective, accurately estimating the probability of extreme sea levels is crucial for designing robust coastal structures. While these estimates are typically based on long-term tide-gauge observations, sea-level hindcasts are also used when available data are limited. This study obtained estimates of extreme sea-level probabilities for the Red Sea, utilizing a 30-year dataset (1993–2022) containing hourly sea level records reconstructed using a surge model (MOG2D), a global tide model (FES2014), and sea-level anomaly data from satellite altimeters. The reconstructed sea-level data were validated against measurements from six tide gauges along the eastern Red Sea and demonstrated good agreement. Spatial maps of extreme sea levels indicated values ranging from approximately 0.4 to 1.8 m. The highest estimates for the 100-year return level were found in the northern Gulf of Suez, with elevated values also observed in the northern and southern Red Sea. Furthermore, we assessed the impact of sea-level rise on extreme sea-level probabilities. Our results revealed that even small increments in the mean sea level could lead to considerable changes in extreme sea-level probabilities across most of the Red Sea. Overall, our findings are valuable for various coastal development projects along the Red Sea coast and for improving coastal vulnerability assessments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ocean Engineering
Ocean Engineering 工程技术-工程:大洋
CiteScore
7.30
自引率
34.00%
发文量
2379
审稿时长
8.1 months
期刊介绍: Ocean Engineering provides a medium for the publication of original research and development work in the field of ocean engineering. Ocean Engineering seeks papers in the following topics.
期刊最新文献
Dynamic event trigger adaptive horizon model free robust predictive control for hovercraft heading tracking using interval predictor Optimal design of low-speed current energy turbine based on turbine blades with different pitch angles Experimental study on vortex-induced vibration of rough and smooth risers under variable incident angles arrangement Experimental study on tsunami impact on offshore box-girder bridges Numerical study of vortex-induced vibrations in two cylinders near a free surface
×
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