SOURCE-LINKED INTELLIGENCE
Real-time monitoring of earthquake nucleation for faults near urban areas
nucleation processes emerge, and the optimal instrumentation required to capture them. To achieve these, 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. 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. 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 in the future an essential ingredient for activating civil protection protocols to mitigate seismic risk. QUAKE-HUNTER aims at having a strong scientific impact on ea
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1499731
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.