Real-time monitoring of earthquake nucleation for faults near urban areas
QUAKE-HUNTER aims to develop AI-based methods to detect precursory signals of earthquakes in north-western Turkey, enhancing real-time forecasting and civil protection measures for urban areas.
Projectdetails
Introduction
A longstanding, lingering question in geoscience is whether earthquakes show a precursory nucleation process. Precursory signals from well-recorded large earthquakes displayed widely different amplitude or duration, and some large earthquakes displayed no detectable precursors.
Objectives
The main objectives of QUAKE-HUNTER are:
- To determine the most effective approaches to detect fault-related transients preceding moderate to large earthquakes.
- To monitor seismic and aseismic processes and infer from them the fault conditions under which earthquake nucleation processes emerge, and the optimal instrumentation required to capture them.
Methodology
To achieve these objectives, we will develop different methodologies based on a combination of supervised and unsupervised artificial intelligence to identify retrospectively earthquake nucleation processes for active faults near earthquake-threatened urban areas. The ultimate goal will be to test the performance of this novel earthquake forecasting methodology in near-real time.
Study Area
We will analyze data from north-western Turkey, where the North Anatolian Fault is overdue for a magnitude M>7 earthquake directly adjacent to the Istanbul megalopolis with its >15M inhabitants.
Significance
The groundbreaking part of QUAKE-HUNTER is that if earthquake nucleation processes could be discerned prior to large earthquakes in the Marmara region, then automated near-real-time detection could provide extended warning and preparation time. If successful, this could become an essential ingredient for activating civil protection protocols to mitigate seismic risk.
Impact
QUAKE-HUNTER aims at having a strong scientific impact on earthquake physics: we will be able to refine our knowledge on the physics of earthquakes shortly before their start, as well as the fault conditions favoring the identification of earthquake precursors. The first-time testing of such methodology in real-time will have a strong societal impact, potentially advancing earthquake forecasting.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.731 |
Totale projectbegroting | € 1.499.731 |
Tijdlijn
Startdatum | 1-3-2023 |
Einddatum | 29-2-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- HELMHOLTZ ZENTRUM POTSDAM DEUTSCHES GEOFORSCHUNGSZENTRUM GFZpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
FrOm RupturE procesS to Earthquake Early warnINGFORESEEING aims to understand earthquake nucleation processes through interdisciplinary research to enhance Earthquake Early Warning systems, ultimately saving lives and reducing damage. | ERC Starting... | € 1.231.718 | 2024 | Details |
Observing the Mechanisms of Earthquake NucleationOMEN aims to directly observe earthquake nucleation using innovative rock-deformation techniques to enhance understanding of seismic slip and improve hazard mitigation strategies. | ERC Starting... | € 2.143.975 | 2025 | Details |
HOw Predictable are EarthquakesThis project aims to enhance earthquake predictability through a multidisciplinary approach combining laboratory experiments and machine learning to improve hazard mitigation and understand seismic behavior. | ERC Starting... | € 2.498.856 | 2023 | Details |
Monitoring megathrust faults with abyssal distributed acoustic sensingThis project aims to enhance earthquake prediction and early warning systems in Chile by using Distributed Acoustic Sensing to monitor fault activity through a dense ocean-bottom seismic observatory. | ERC Starting... | € 2.134.970 | 2022 | Details |
Boxing Earthquakes and Faults in ACtive TectonicsThis project aims to enhance understanding of earthquake ruptures and fault geometry by generating experimental earthquakes and using neural networks to analyze real seismic data for improved hazard mitigation. | ERC Advanced... | € 2.489.125 | 2024 | Details |
FrOm RupturE procesS to Earthquake Early warnING
FORESEEING aims to understand earthquake nucleation processes through interdisciplinary research to enhance Earthquake Early Warning systems, ultimately saving lives and reducing damage.
Observing the Mechanisms of Earthquake Nucleation
OMEN aims to directly observe earthquake nucleation using innovative rock-deformation techniques to enhance understanding of seismic slip and improve hazard mitigation strategies.
HOw Predictable are Earthquakes
This project aims to enhance earthquake predictability through a multidisciplinary approach combining laboratory experiments and machine learning to improve hazard mitigation and understand seismic behavior.
Monitoring megathrust faults with abyssal distributed acoustic sensing
This project aims to enhance earthquake prediction and early warning systems in Chile by using Distributed Acoustic Sensing to monitor fault activity through a dense ocean-bottom seismic observatory.
Boxing Earthquakes and Faults in ACtive Tectonics
This project aims to enhance understanding of earthquake ruptures and fault geometry by generating experimental earthquakes and using neural networks to analyze real seismic data for improved hazard mitigation.
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