Articles | Volume 13, issue 1
https://doi.org/10.5194/nhess-13-53-2013
Special issue:
https://doi.org/10.5194/nhess-13-53-2013
Research article
 | 
11 Jan 2013
Research article |  | 11 Jan 2013

Multi-variate flood damage assessment: a tree-based data-mining approach

B. Merz, H. Kreibich, and U. Lall

Related authors

It could have been much worse: spatial counterfactuals of the July 2021 flood in the Ahr Valley, Germany
Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 25, 2007–2029, https://doi.org/10.5194/nhess-25-2007-2025,https://doi.org/10.5194/nhess-25-2007-2025, 2025
Short summary
Beyond Observed Extremes: Can Hybrid Deep Learning Models Improve Flood Prediction?
Xiaoxiang Guan, Baoying Shan, Viet Dung Nguyen, and Bruno Merz
EGUsphere, https://doi.org/10.5194/egusphere-2025-1509,https://doi.org/10.5194/egusphere-2025-1509, 2025
Short summary
Heavy-tailed flood peak distributions: what is the effect of the spatial variability of rainfall and runoff generation?
Elena Macdonald, Bruno Merz, Viet Dung Nguyen, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 29, 447–463, https://doi.org/10.5194/hess-29-447-2025,https://doi.org/10.5194/hess-29-447-2025, 2025
Short summary
Invited perspectives: safeguarding the usability and credibility of flood hazard and risk assessments
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 24, 4015–4030, https://doi.org/10.5194/nhess-24-4015-2024,https://doi.org/10.5194/nhess-24-4015-2024, 2024
Short summary
A non-stationary climate-informed weather generator for assessing future flood risks
Viet Dung Nguyen, Sergiy Vorogushyn, Katrin Nissen, Lukas Brunner, and Bruno Merz
Adv. Stat. Clim. Meteorol. Oceanogr., 10, 195–216, https://doi.org/10.5194/ascmo-10-195-2024,https://doi.org/10.5194/ascmo-10-195-2024, 2024
Short summary
Download
Share
Special issue
Altmetrics