globalchange  > 气候变化与战略
DOI: 10.1007/s11069-020-04209-z
论文题名:
Rapid prediction of alongshore run-up distribution from near-field tsunamis
作者: Lee J.-W.; Irish J.L.; Weiss R.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 104, 期:2
起始页码: 1157
结束页码: 1180
语种: 英语
中文关键词: Puerto Rico ; Response surface methodology ; Run-up ; Tsunami
英文关键词: bathymetry ; computer simulation ; numerical model ; prediction ; response surface methodology ; spatial distribution ; topography ; tsunami ; wave runup ; Puerto Rico
英文摘要: Rapid prediction of the spatial distribution of the run-up from near-field tsunamis is critically important for tsunami hazard characterization. Even though significant advances have been made over the last decade, physics-based numerical models are still computationally intensive. Here, we present a response surface methodology (RSM)-based model called the tsunami run-up response function (TRRF). Derived from a discrete set of tsunami simulations, TRRF can produce a rapid prediction of a near-field tsunami run-up distribution that takes into account the influence of variable local topographic and bathymetric characteristics in a given region. This new method reduces the number of simulations required to build an RSM model by separately modeling the leading order contribution and the residual part of the tsunami run-up distribution. Using the northern region of Puerto Rico as a case study, we investigated the performance (accuracy, computational time) of the TRRF. The results reveal that the TRRF achieves reliable prediction while reducing the prediction time by six orders of magnitude (computational time: < 1 s per earthquake). © 2020, Springer Nature B.V.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168580
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: Department of Civil and Environmental Engineering, Virginia Tech, 750 Drillfield Dr, Blacksburg, VA 24061, United States; Department of Geosciences, Virginia Tech, 926 W Campus Dr, Blacksburg, VA 24061, United States; Center for Coastal Studies, Virginia Tech, 926 W Campus Dr, Blacksburg, VA 24061, United States

Recommended Citation:
Lee J.-W.,Irish J.L.,Weiss R.. Rapid prediction of alongshore run-up distribution from near-field tsunamis[J]. Natural Hazards,2020-01-01,104(2)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Lee J.-W.]'s Articles
[Irish J.L.]'s Articles
[Weiss R.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Lee J.-W.]'s Articles
[Irish J.L.]'s Articles
[Weiss R.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Lee J.-W.]‘s Articles
[Irish J.L.]‘s Articles
[Weiss R.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.