Articles | Volume 25, issue 7
https://doi.org/10.5194/nhess-25-2421-2025
https://doi.org/10.5194/nhess-25-2421-2025
Research article
 | 
21 Jul 2025
Research article |  | 21 Jul 2025

An automated approach for developing geohazard inventories using news: integrating natural language processing (NLP), machine learning, and mapping

Aydoğan Avcıoğlu, Ogün Demir, and Tolga Görüm

Viewed

Total article views: 519 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
279 221 19 519 48 13 28
  • HTML: 279
  • PDF: 221
  • XML: 19
  • Total: 519
  • Supplement: 48
  • BibTeX: 13
  • EndNote: 28
Views and downloads (calculated since 21 Jan 2025)
Cumulative views and downloads (calculated since 21 Jan 2025)

Viewed (geographical distribution)

Total article views: 519 (including HTML, PDF, and XML) Thereof 517 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Jul 2025
Download
Short summary
We demonstrate an approach for the development of inventories from internet sources to geolocalize geohazard incidents. We created a tool that autonomously gets news, processes it using natural language processing, and then builds inventories. Consequently, we present spatiotemporal inventories for geohazards, resulting in a total of 13 940 incidents between 1997 and 2023 in Türkiye. Our alternative and easy-to-implement development inventory method aids geohazard management and resilience.
Share
Altmetrics
Final-revised paper
Preprint