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Urgent Supercomputing of Earthquakes: Use Case for Civil Protection

Published: 29 June 2020 Publication History

Abstract

Deadly earthquakes are events that are unpredictable, relatively rare and have a huge impact upon the lives of those who suffer their consequences. Furthermore, each earthquake has specific characteristics (location, magnitude, directivity) which, combined to local amplification and de-amplification effects, makes their outcome very singular. Empirical relations are the main methodology used to make early assessment of an earthquake's impact. Nevertheless, the lack of sufficient data registers for large events makes such approaches very imprecise. Physics-based simulators, on the other hand, are powerful tools that provide highly accurate shaking information. However, physical simulations require considerable computational resources, a detailed geological model, and accurate earthquake source information.
A better early assessment of the impact of earthquakes implies both technical and scientific challenges. We propose a novel HPC-based urgent seismic simulation workflow, hereafter referred to as Urgent Computing Integrated Services for EarthQuakes (UCIS4EQ), which can deliver, potentially, much more accurate short-time reports of the consequences of moderate to large earthquakes. UCIS4EQ is composed of four subsystems that are deployed as services and connected by means of a workflow manager. This paper describes those components and their functionality. The main objective of UCIS4EQ is to produce ground-shaking maps and other potentially useful information to civil protection agencies. The first demonstrator will be deployed in the framework of the Center of Excellence for Exascale in Solid Earth (ChEESE, https://cheese.coe.eu/, last access: 12 Feb. 2020).

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  • (2024)A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern CaliforniaCommunications Earth & Environment10.1038/s43247-024-01436-15:1Online publication date: 16-May-2024
  • (2024)The Multi‐Segment Complexity of the 2024 MW ${M}_{W}$ 7.5 Noto Peninsula Earthquake Governs Tsunami GenerationGeophysical Research Letters10.1029/2024GL10979051:21Online publication date: 4-Nov-2024
  • (2024)New 3D Velocity Model (mTAB3D) for Absolute Hypocenter Location in Southern Iberia and the Westernmost MediterraneanEarth and Space Science10.1029/2023EA00299311:10Online publication date: 10-Oct-2024
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      cover image ACM Conferences
      PASC '20: Proceedings of the Platform for Advanced Scientific Computing Conference
      June 2020
      169 pages
      ISBN:9781450379939
      DOI:10.1145/3394277
      This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0 License.

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      Published: 29 June 2020

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      Author Tags

      1. civil protection
      2. earthquakes
      3. urgent supercomputing

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      • European Union?s Horizon 2020 research and innovation programme

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      PASC '20 Paper Acceptance Rate 16 of 36 submissions, 44%;
      Overall Acceptance Rate 109 of 221 submissions, 49%

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      View all
      • (2024)A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern CaliforniaCommunications Earth & Environment10.1038/s43247-024-01436-15:1Online publication date: 16-May-2024
      • (2024)The Multi‐Segment Complexity of the 2024 MW ${M}_{W}$ 7.5 Noto Peninsula Earthquake Governs Tsunami GenerationGeophysical Research Letters10.1029/2024GL10979051:21Online publication date: 4-Nov-2024
      • (2024)New 3D Velocity Model (mTAB3D) for Absolute Hypocenter Location in Southern Iberia and the Westernmost MediterraneanEarth and Space Science10.1029/2023EA00299311:10Online publication date: 10-Oct-2024
      • (2023)The EU Center of Excellence for Exascale in Solid Earth (ChEESE)Future Generation Computer Systems10.1016/j.future.2023.04.006146:C(47-61)Online publication date: 1-Sep-2023
      • (2022)Analysis of Information Availability for Seismic and Volcanic Monitoring Systems: A ReviewSensors10.3390/s2214518622:14(5186)Online publication date: 11-Jul-2022
      • (2022)Seismology Perspectives on Integrated, Coordinated, Open, Networked (ICON) ScienceEarth and Space Science10.1029/2021EA0021099:3Online publication date: 10-Mar-2022
      • (2022)Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergenceFuture Generation Computer Systems10.1016/j.future.2022.04.014134:C(414-429)Online publication date: 1-Sep-2022
      • (2021)Fast scalable implicit solver with convergence of equation-based modeling and data-driven learningProceedings of the Platform for Advanced Scientific Computing Conference10.1145/3468267.3470616(1-12)Online publication date: 5-Jul-2021

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