FREQUENCY DISPERSION IN DEPTH-INTEGRATED MODELS THROUGH MACHINE LEARNING SURROGATES

Maile McCann, Patrick Lynett, Behzad Ebrahimi
{"title":"FREQUENCY DISPERSION IN DEPTH-INTEGRATED MODELS THROUGH MACHINE LEARNING SURROGATES","authors":"Maile McCann, Patrick Lynett, Behzad Ebrahimi","doi":"10.9753/icce.v37.waves.54","DOIUrl":null,"url":null,"abstract":"Boussinesq- type wave models have the accuracy to resolve wave propagation in coastal zones, having the ability to capture nearshore dynamics that include both nonlinear and dispersive effects for relatively short waves. The accuracy of Boussinesq type models over their counterparts which utilize the non- linear shallow water (NLSW) equations provides a clear advantage in studying nearshore processes. However, the computational expense of finding the Boussinesq solution over the NLSW solution hinders fast and/ or real time simulation using Boussinesq type models.","PeriodicalId":497926,"journal":{"name":"Proceedings of ... Conference on Coastal Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ... Conference on Coastal Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9753/icce.v37.waves.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Boussinesq- type wave models have the accuracy to resolve wave propagation in coastal zones, having the ability to capture nearshore dynamics that include both nonlinear and dispersive effects for relatively short waves. The accuracy of Boussinesq type models over their counterparts which utilize the non- linear shallow water (NLSW) equations provides a clear advantage in studying nearshore processes. However, the computational expense of finding the Boussinesq solution over the NLSW solution hinders fast and/ or real time simulation using Boussinesq type models.
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
基于机器学习代理的深度集成模型的频散
Boussinesq型波浪模型具有解析沿海地区波浪传播的准确性,能够捕捉近岸动力学,包括相对短波的非线性和色散效应。与利用非线性浅水(NLSW)方程的对应模型相比,Boussinesq型模型的精度为研究近岸过程提供了明显的优势。然而,在NLSW解决方案上寻找Boussinesq解决方案的计算费用阻碍了使用Boussinesq类型模型的快速和/或实时仿真。
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
自引率
0.00%
发文量
0
期刊最新文献
SUBMESOSCALE SURFACE TIDAL, VORTICAL, AND RESIDUAL CIRCULATIONS IN A SEMI-ENCLOSED BAY CASE STUDY - WYE RIVER, VIC GEOCONTAINER SHORT TERM PORTECTION WORKS USING SHALLOW NEARSHORE BERM NOURISHMENTS TO ENHANCE BEACH WIDTH ANALYSIS OF STORM SURGE CHARACTERISTICS BASED ON TYPHOON PROPERTIES INNOVATIVE SEAWALL DESIGN DEVELOPMENT IN NSW, AUSTRALIA: 4 RECENT CASE STUDIES
×
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