Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 8
Articles | Volume 26, issue 8
https://doi.org/10.5194/nhess-26-3943-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-3943-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 8
Research article
 | 
20 Aug 2026
Research article |  | 20 Aug 2026

Using machine learning for the prediction of flood-related 112 calls

Jordi Morales, Andreas Kaltenbrunner, Àgata Lapedriza, and Xavier Llort

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Short summary
In this work, we employ machine learning (ML) techniques to develop models combining meteorological data, population characteristics, and historical 112 call records to predict which municipalities will report emergencies within the next hour. Compared to operational, hazard-based systems, our approach demonstrates a substantial improvement, particularly in moderately to highly populated areas. This highlights the potential for ML to provide timely, localized anticipation of flood impacts.
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