CCPortal
DOI10.1029/2021JC017289
Probabilistic Near-Field Tsunami Source and Tsunami Run-up Distribution Inferred From Tsunami Run-up Records in Northern Chile
Lee J.-W.; Irish J.L.; Weiss R.
发表日期2021
ISSN21699275
卷号126期号:6
英文摘要Understanding a tsunami source and its impact is vital to assess a tsunami hazard. Thanks to the efforts of the tsunami survey teams, high-quality tsunami run-up data exist for contemporary events. Still, it has not been widely used to infer a tsunami source and its impact mainly due to the computational burden of the tsunami forward model. In this study, we propose a TRRF-INV (Tsunami Run-up Response Function-based INVersion) model that can provide probabilistic estimates of a near-field tsunami source and tsunami run-up distribution from a small number of run-up records. We tested the TRRF-INV model with synthetic tsunami scenarios in northern Chile and applied it to the 2014 Iquique, Chile, tsunami event as a case study. The results demonstrated that the TRRF-INV model can provide a reasonable tsunami source estimate to first order and estimate tsunami run-up distribution well. Moreover, the case-study results agree well with the United States Geological Survey report and the global Centroid Moment Tensor solution. We also analyzed the performance of the TRRF-INV model depending on the number and the uncertainty of run-up records. We believe that the TRRF-INV model has the potential for supporting accurate hazard assessment by (1) providing new insights from tsunami run-up records into the tsunami source and its impact, (2) using the TRRF-INV model as a tool to support existing tsunami inversion models, and (3) estimating a tsunami source and its impact for ancient events where no data other than estimated run-up from sediment deposit data exist. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词inversion; near-field tsunami; run-up
语种英语
来源期刊Journal of Geophysical Research: Oceans
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/186287
作者单位Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, United States; Center for Coastal Studies, Virginia Tech, Blacksburg, VA, United States; Department of Geosciences, Virginia Tech, Blacksburg, VA, United States
推荐引用方式
GB/T 7714
Lee J.-W.,Irish J.L.,Weiss R.. Probabilistic Near-Field Tsunami Source and Tsunami Run-up Distribution Inferred From Tsunami Run-up Records in Northern Chile[J],2021,126(6).
APA Lee J.-W.,Irish J.L.,&Weiss R..(2021).Probabilistic Near-Field Tsunami Source and Tsunami Run-up Distribution Inferred From Tsunami Run-up Records in Northern Chile.Journal of Geophysical Research: Oceans,126(6).
MLA Lee J.-W.,et al."Probabilistic Near-Field Tsunami Source and Tsunami Run-up Distribution Inferred From Tsunami Run-up Records in Northern Chile".Journal of Geophysical Research: Oceans 126.6(2021).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Lee J.-W.]的文章
[Irish J.L.]的文章
[Weiss R.]的文章
百度学术
百度学术中相似的文章
[Lee J.-W.]的文章
[Irish J.L.]的文章
[Weiss R.]的文章
必应学术
必应学术中相似的文章
[Lee J.-W.]的文章
[Irish J.L.]的文章
[Weiss R.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。