海啸淹没图的正演能量等级线分析

IF 4.2 2区 工程技术 Q1 ENGINEERING, CIVIL
María F. Estrada , Rodrigo Cienfuegos , Alejandro Urrutia , Patricio A. Catalán , Patricio Winckler
{"title":"海啸淹没图的正演能量等级线分析","authors":"María F. Estrada ,&nbsp;Rodrigo Cienfuegos ,&nbsp;Alejandro Urrutia ,&nbsp;Patricio A. Catalán ,&nbsp;Patricio Winckler","doi":"10.1016/j.coastaleng.2024.104673","DOIUrl":null,"url":null,"abstract":"<div><div>A simplified model using 1D topobathymetric profiles for generating tsunami inundation maps is implemented and evaluated. The approach is a modification of the ASCE Energy Grade Line Analysis, that allows estimation of the maximum inundation distances using an iterative method. The modified methodology is implemented in three coastal cities in central Chile and compared with a database of 5400 full tsunami simulations obtained from a Nonlinear Shallow Water Equations solver. The key parameter of the model is based on the Froude number, for which three parameterizations and a range of values are tested. Results show that errors in the estimation of the areal extent of the inundation can be as low as 4%, after calibration. However, calibration is site specific and the optimal solution depends on the geographical characteristics of the area of interest. A sensitivity analysis based on the aleatoric sampling of the full tsunami simulation database show that as little as 100 inundation maps are required to perform the calibration of the model. This is a manageable number that offers reduced computational costs when compared with full tsunami simulations, and even those required to train other surrogate models using machine learning.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104673"},"PeriodicalIF":4.2000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forward energy grade line analysis for tsunami inundation mapping\",\"authors\":\"María F. Estrada ,&nbsp;Rodrigo Cienfuegos ,&nbsp;Alejandro Urrutia ,&nbsp;Patricio A. Catalán ,&nbsp;Patricio Winckler\",\"doi\":\"10.1016/j.coastaleng.2024.104673\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A simplified model using 1D topobathymetric profiles for generating tsunami inundation maps is implemented and evaluated. The approach is a modification of the ASCE Energy Grade Line Analysis, that allows estimation of the maximum inundation distances using an iterative method. The modified methodology is implemented in three coastal cities in central Chile and compared with a database of 5400 full tsunami simulations obtained from a Nonlinear Shallow Water Equations solver. The key parameter of the model is based on the Froude number, for which three parameterizations and a range of values are tested. Results show that errors in the estimation of the areal extent of the inundation can be as low as 4%, after calibration. However, calibration is site specific and the optimal solution depends on the geographical characteristics of the area of interest. A sensitivity analysis based on the aleatoric sampling of the full tsunami simulation database show that as little as 100 inundation maps are required to perform the calibration of the model. This is a manageable number that offers reduced computational costs when compared with full tsunami simulations, and even those required to train other surrogate models using machine learning.</div></div>\",\"PeriodicalId\":50996,\"journal\":{\"name\":\"Coastal Engineering\",\"volume\":\"197 \",\"pages\":\"Article 104673\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Coastal Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378383924002217\",\"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":"Coastal Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378383924002217","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

提出了一种利用一维地形高程剖面生成海啸淹没图的简化模型,并对其进行了评价。该方法是对ASCE能源等级线分析的修改,允许使用迭代方法估计最大淹没距离。改进后的方法在智利中部的三个沿海城市实施,并与非线性浅水方程求解器获得的5400个完整海啸模拟数据库进行了比较。模型的关键参数基于弗劳德数,对其进行了三种参数化和一系列值的测试。结果表明,校正后的淹没面积估算误差可低至4%。然而,校准是具体地点的,最佳解决方案取决于感兴趣地区的地理特征。基于对整个海啸模拟数据库的任意抽样的敏感性分析表明,只需100张淹没图就可以对模型进行校准。与完整的海啸模拟相比,这是一个可管理的数字,可以降低计算成本,甚至可以使用机器学习训练其他代理模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forward energy grade line analysis for tsunami inundation mapping
A simplified model using 1D topobathymetric profiles for generating tsunami inundation maps is implemented and evaluated. The approach is a modification of the ASCE Energy Grade Line Analysis, that allows estimation of the maximum inundation distances using an iterative method. The modified methodology is implemented in three coastal cities in central Chile and compared with a database of 5400 full tsunami simulations obtained from a Nonlinear Shallow Water Equations solver. The key parameter of the model is based on the Froude number, for which three parameterizations and a range of values are tested. Results show that errors in the estimation of the areal extent of the inundation can be as low as 4%, after calibration. However, calibration is site specific and the optimal solution depends on the geographical characteristics of the area of interest. A sensitivity analysis based on the aleatoric sampling of the full tsunami simulation database show that as little as 100 inundation maps are required to perform the calibration of the model. This is a manageable number that offers reduced computational costs when compared with full tsunami simulations, and even those required to train other surrogate models using machine learning.
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
Coastal Engineering
Coastal Engineering 工程技术-工程:大洋
CiteScore
9.20
自引率
13.60%
发文量
0
审稿时长
3.5 months
期刊介绍: Coastal Engineering is an international medium for coastal engineers and scientists. Combining practical applications with modern technological and scientific approaches, such as mathematical and numerical modelling, laboratory and field observations and experiments, it publishes fundamental studies as well as case studies on the following aspects of coastal, harbour and offshore engineering: waves, currents and sediment transport; coastal, estuarine and offshore morphology; technical and functional design of coastal and harbour structures; morphological and environmental impact of coastal, harbour and offshore structures.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信