气候变化领域集成服务门户(CCPortal): Modeling the Sources of the 2018 Palu, Indonesia, Tsunami Using Videos From Social Media

CCPortal

DOI	10.1029/2019JB018675
	Modeling the Sources of the 2018 Palu, Indonesia, Tsunami Using Videos From Social Media
	Sepúlveda I.; Haase J.S.; Carvajal M.; Xu X.; Liu P.L.F.
发表日期	2020
ISSN	21699313
卷号	125 期号:3
英文摘要	The 2018 Palu tsunami contributed significantly to the devastation caused by the associated MW 7.5 earthquake. This began a debate about how the moderate size earthquake triggered such a large tsunami within Palu Bay, with runups of more than 10 m. The possibility of a large component of vertical coseismic deformation and submarine landslides have been considered as potential explanations. However, scarce instrumental data have made it difficult to resolve the potential contributions from either type of source. We use tsunami waveforms derived from social media videos in Palu Bay to model the possible sources of the tsunami. We invert InSAR data with different fault geometries and use the resulting seafloor displacements to simulate tsunamis. The coseismic sources alone cannot match both the video-derived time histories and surveyed runups. Then we conduct a tsunami source inversion using the video-derived time histories and a tide gauge record as inputs. We specify hypothetical landslide locations and solve for initial tsunami elevation. Our results, validated with surveyed runups, show that a limited number of landslides in southern Palu Bay are sufficient to explain the tsunami data. The Palu tsunami highlights the difficulty in accurately capturing with tide gauges the amplitude and timing of short period waves that can have large impacts at the coast. The proximity of landslides to locations of high fault slip also suggests that tsunami hazard assessment in strike-slip environments should include triggered landslides, especially for locations where the coastline morphology is strongly linked to fault geometry. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	crowdsourcing; landslide tsunami; Palu tsunami; social media videos; strike fault environments; tsunami inversion
语种	英语
来源期刊	Journal of Geophysical Research: Solid Earth
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/187884
作者单位	Cecil H. and Ida M. Green Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California, San Diego, CA, United States; Escuela de Ciencias del Mar, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile; Millennium Nucleus The Seismic Cycle Along Subduction Zones, Chile; Department of Civil and Environmental Engineering, National University of Singapore, Singapore; School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, United States; Institute of Hydrological and Oceanic Sciences, National Central University, Jhongli, Taiwan
推荐引用方式 GB/T 7714	Sepúlveda I.,Haase J.S.,Carvajal M.,et al. Modeling the Sources of the 2018 Palu, Indonesia, Tsunami Using Videos From Social Media[J],2020,125(3).
APA	Sepúlveda I.,Haase J.S.,Carvajal M.,Xu X.,&Liu P.L.F..(2020).Modeling the Sources of the 2018 Palu, Indonesia, Tsunami Using Videos From Social Media.Journal of Geophysical Research: Solid Earth,125(3).
MLA	Sepúlveda I.,et al."Modeling the Sources of the 2018 Palu, Indonesia, Tsunami Using Videos From Social Media".Journal of Geophysical Research: Solid Earth 125.3(2020).