Tsunami-HySEA: A Numerical Model Developed for Tsunami Early Warning Systems (TEWS)

被引：2

作者：

Gonzalez-Vida, J. M. ^{[1
]}

Castro, M. J. ^{[2
]}

Macias, J. ^{[2
]}

de la Asuncion, M. ^{[2
]}

Ortega, S. ^{[1
]}

Pares, C. ^{[2
]}

机构：

[1] Univ Malaga, Ind Engn Sch, Dept Appl Math, Malaga, Spain

[2] Univ Malaga, Fac Sci, Dept Math Anal Stat & Op Res & App Math, Malaga, Spain

来源：

PROGRESS IN INDUSTRIAL MATHEMATICS: SUCCESS STORIES: THE INDUSTRY AND THE ACADEMIA POINTS OF VIEW | 2021年 / 5卷

基金：

欧盟地平线“2020”;

关键词：

ADAPTIVE MESH REFINEMENT; ONE-LAYER; PERFORMANCE; LANDSLIDES; SIMULATION;

D O I：

10.1007/978-3-030-61844-5_12

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The aim of this work is to present the collaboration between the EDANYA research group of the University of Malaga and several international institutions regarding the implementation of computational tools in the framework of the TEWS (Tsunami EarlyWarning Systems). These collaborations have resulted in the development of the first GPU-based finite volumes numerical model, known as Tsunami-HySEA, able to accelerate tsunami numerical simulations to become a real operational tool in TWC (Tsunami Warning Centres). In this way, tsunami-HySEA is able to compute large tsunami scenarios with good accuracy in only few minutes, which has produced a change of paradigm in the operational assessment of tsunami risks and is making substantial improvements in the current alert systems and therefore, to our citizens security.

引用

页码：209 / 226

页数：18

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