[HTML][HTML] Towards improved knowledge about water-related extremes based on news media information captured using artificial intelligence

JP Costa, L Rei, N Bezak, M Mikoš, MB Massri… - International Journal of …, 2024 - Elsevier
Recent advances in machine learning have enabled near real-time retrieval of information
from textual documents impacting a wide range of knowledge domains. This advantage …

Compound and consecutive drought-flood events at a global scale

A Matanó, WR Berghuijs, M Mazzoleni… - Environmental …, 2024 - iopscience.iop.org
Flooding during or after droughts poses significant challenges to disaster risk management.
However, interactions between droughts and floods are often overlooked as studies typically …

The testing of a multivariate probabilistic framework for reservoir safety evaluation and flood risks assessment in Slovakia: A study on the Parná and Belá Rivers

R Výleta, P Rončák, A Liová, P Valent… - Journal of Hydrology …, 2023 - sciendo.com
Intense floods represent a challenge to risk management. While they are multivariate in their
nature, they are often studied in practice from univariate perspectives. Classical frequency …

Drought can delay or speed-up riverine flooding

A Matanó, WR Berghuijs, M Mazzoleni, M de Ruiter… - 2023 - researchsquare.com
Flooding during or after droughts poses significant challenges to disaster risk management.
However, interactions between droughts and floods are often overlooked by studying these …

[PDF][PDF] Roman VÝLETA, Kamila HLAVČOVÁ, Silvia KOHNOVÁ, Tomáš BACIGÁL

A LIOVÁ, J SZOLGAY - pdfs.semanticscholar.org
Flood hazard connected with the failure of hydraulic structures and flood risk associated with
areas subject to flooding need to be estimated using flood hydrographs. Multivariate …