Real-time tsunami inundation forecast system for tsunami disaster prevention and mitigation

Musa, Akihiro; Watanabe, Osamu; Matsuoka, Hiroshi; Hokari, Hiroaki; Inoue, Takuya; Murashima, Yoichi; Ohta, Yusaku; Hino, Ryota; Koshimura, Shunichi; Kobayashi, Hiroaki

doi:10.1007/s11227-018-2363-0

Cited by 50 publications

(22 citation statements)

References 18 publications

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“…Fast tsunami inundation simulation using a high-performance computing system (Musa et al 2015) or data-based tsunami inundation forecast are also needed to be combined Figure 11 Maximum tsunami height distributions and tsunami inundation area at a El Retiro (R4.a in Fig. 9) and b Espino (R4.b in Fig.…”

Section: Discussionmentioning

confidence: 99%

Method to Determine Appropriate Source Models of Large Earthquakes Including Tsunami Earthquakes for Tsunami Early Warning in Central America

Tanioka

Miranda

Gusman

et al. 2017

Pure Appl. Geophys.

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Abstract-Large earthquakes, such as the Mw 7.7 1992 Nicaragua earthquake, have occurred off the Pacific coasts of El Salvador and Nicaragua in Central America and have generated distractive tsunamis along these coasts. It is necessary to determine appropriate fault models before large tsunamis hit the coast. In this study, first, fault parameters were estimated from the W-phase inversion, and then an appropriate fault model was determined from the fault parameters and scaling relationships with a depth dependent rigidity. The method was tested for four large earthquakes, the 1992 Nicaragua tsunami earthquake (Mw7.7), the 2001 El Salvador earthquake (Mw7.7), the 2004 El Astillero earthquake (Mw7.0), and the 2012 El Salvador-Nicaragua earthquake (Mw7.3), which occurred off El Salvador and Nicaragua in Central America. The tsunami numerical simulations were carried out from the determined fault models. We found that the observed tsunami heights, run-up heights, and inundation areas were reasonably well explained by the computed ones. Therefore, our method for tsunami early warning purpose should work to estimate a fault model which reproduces tsunami heights near the coast of El Salvador and Nicaragua due to large earthquakes in the subduction zone.

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Section: Discussionmentioning

confidence: 99%

Method to Determine Appropriate Source Models of Large Earthquakes Including Tsunami Earthquakes for Tsunami Early Warning in Central America

Tanioka

Miranda

Gusman

et al. 2017

Pure Appl. Geophys.

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“…Furthermore, TVA represents a low-cost tool, ready to be implemented on existing high-rate GNSS real-time networks and to push forward the installation of new dense GNSS real-time networks. Finally, TVA main goal is to represent an additional resource to classic methods, such as tsunami forecast 62 , earthquake early warning for tsunami alert 63 , tsunami inundation simulation and damage estimation 64,65 ; in this context, the synergic use of all the available tools could really enhance the already existing tsunami warning systems.…”

Section: Discussionmentioning

confidence: 99%

GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation

Ravanelli

Occhipinti

Savastano

et al. 2021

Sci Rep

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Global Navigation Satellite System (GNSS) is used in seismology to study the ground displacements as well as to monitor the ionospheric total electron content (TEC) perturbations following seismic events. The aim of this work is to combine these two observations in one real-time method based on the Total Variometric Approach (TVA) to include the GNSS real-time data stream in future warning systems and tsunami genesis estimation observing both, ground motion and TEC. Our TVA couples together the Variometric Approach for Displacement Analysis Stand-alone Engine (VADASE) with the Variometric Approach for Real-Time Ionosphere Observation (VARION) algorithms. We apply the TVA to the Mw 8.3 Illapel earthquake, that occurred in Chile on September 16, 2015, and we demonstrate the coherence of the earthquake ground shaking and the TEC perturbation by using the same GNSS data stream in a real-time scenario. Nominally, we also highlight a stronger kinetic energy released in the north of the epicenter and visible in both, the ground motion and the TEC perturbation detect at 30 s and around 9.5 min after the rupture respectively. The high spatial resolution of ionospheric TEC measurement seems to match with the extent of the seismic source. The GNSS data stream by TVA of both the ground and ionospheric measurement opens today new perspectives to real-time warning systems for tsunami genesis estimation.

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“…Each configuration consists of the number of CPUs required by the job and the job length, which is the running time of the job. These values are adopted from the empirical results of tsunami simulations obtained in related studies [32], [33]. As shown in these studies, the tsunami simulation is expected to finish with a 10-minute deadline to mitigate the loss caused by the tsunami event.…”

Section: B a Motivating Example With Tsunami Simulationsmentioning

confidence: 99%

“…The evaluation uses three workloads of real systems, SDSC-DS, LANL-CM5, and SX-ACE. The first two workloads are obtained from the parallel workloads archive [29], [53], while the SX-ACE workload is obtained from the SX-ACE supercomputer of Tohoku University [32]. The LANL-CM5 workload is composed of 201,387 jobs, which are executed on the CM-5 cluster.…”

Section: B Job Scheduling Performancementioning

confidence: 99%

Preemptive Parallel Job Scheduling for Heterogeneous Systems Supporting Urgent Computing

et al. 2021

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Dedicated infrastructures are commonly used for urgent computations. However, using dedicated resources is not always affordable due to budget constraints. As a result, utilizing shared infrastructures becomes an alternative solution for urgent computations. Since the infrastructures are meant to serve many users, the urgent jobs may arrive when regular jobs are using the necessary resources. In such a case, it is necessary to preempt the regular jobs so that urgent jobs can be executed immediately. Most conventional methods for job scheduling have focused on reducing the response times and waiting times of all jobs. However, these methods can delay urgent jobs and hinder them from being completed within a stipulated deadline. Furthermore, in heterogeneous systems with coprocessors, preemption becomes more difficult because coprocessors rely on several system software functionalities provided by the host processor. In this paper, we propose a parallel job scheduling method to effectively use shared heterogeneous systems for urgent computations. Our method employs an in-memory process swapping mechanism to preempt jobs running on the coprocessor devices. The results of our simulations show that our method can achieve a significant reduction in the response time and slowdown of regular jobs without substantial delays of urgent jobs. INDEX TERMS job scheduling, urgent computing, heterogeneous systems, preemption, process swapping.

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Real-time tsunami inundation forecast system for tsunami disaster prevention and mitigation

Abstract: The tsunami disasters that occurred in Indonesia, Chile, and Japan have inflicted serious casualties and damaged social infrastructures. Tsunami forecasting systems are thus urgently required worldwide. We have developed a real-time

Cited by 50 publications

References 18 publications

Method to Determine Appropriate Source Models of Large Earthquakes Including Tsunami Earthquakes for Tsunami Early Warning in Central America

Method to Determine Appropriate Source Models of Large Earthquakes Including Tsunami Earthquakes for Tsunami Early Warning in Central America

GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation

Preemptive Parallel Job Scheduling for Heterogeneous Systems Supporting Urgent Computing

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