Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 11
Articles | Volume 26, issue 11
https://doi.org/10.5194/nhess-26-5507-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-5507-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 11
Research article
 | 
02 Nov 2026
Research article |  | 02 Nov 2026

Unravelling information on impactful geo-hydrological hazard events with HazMiner, a multilingual text mining method developed through a global scale coverage application

Bram Valkenborg, Olivier Dewitte, I Wayan Gita Krishna Dananjaya, and Benoît Smets

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Short summary
Data gaps in datasets on floods, landslides, and flash floods influence our understanding of these hazards. We present HazMiner, a new method to extract their location, timing, and impacts from online news articles. We applied HazMiner at the global scale to 6,366,905 news articles published from 2017 through 2024. This resulted in the detection of 15,313 floods, 6,836 landslides and 2,258 flash floods. HazMiner outperforms current hazard datasets, especially in data-scarce regions.
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