H
H. de Moel
Researcher at VU University Amsterdam
Publications - 53
Citations - 3783
H. de Moel is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Flood myth & Climate change. The author has an hindex of 23, co-authored 42 publications receiving 3043 citations.
Papers
More filters
Journal ArticleDOI
The world’s road to water scarcity: shortage and stress in the 20th century and pathways towards sustainability
Matti Kummu,Joseph H. A. Guillaume,Joseph H. A. Guillaume,H. de Moel,Stephanie Eisner,Martina Flörke,Miina Porkka,Stefan Siebert,Ted Veldkamp,Philip J. Ward +9 more
TL;DR: This study provides a first assessment of continuous sub-national trajectories of blue water consumption, renewable freshwater availability, and water scarcity for the entire 20th century to suggest measures for alleviating water scarcity and increasing sustainability.
Journal ArticleDOI
Flood maps in Europe – methods, availability and use
TL;DR: An overview of existing flood mapping practices in 29 countries in Europe and shows what maps are already available and how such maps are used can be found in this article, where the authors present a survey of the available flood maps and their use in emergency planning, spatial planning, and awareness raising.
Journal ArticleDOI
Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates
H. de Moel,Jeroen C. J. H. Aerts +1 more
TL;DR: In this paper, the influence of uncertainty in these four components on the final damage estimate was assessed and it was shown that the value of elements at risk and depth-damage curves are the most important sources of uncertainty.
Journal ArticleDOI
Flood risk assessments at different spatial scales.
H. de Moel,Brenden Jongman,Heidi Kreibich,Bruno Merz,Edmund C. Penning-Rowsell,Philip J. Ward +5 more
TL;DR: A priori flood risk assessments have become an important part of flood management practices, but there are also notable differences between assessments at different spatial scales, for instance those related to the methodology, use of assessments and uncertainties.
Journal ArticleDOI
Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes : A multi-model validation study
Ted Veldkamp,Ted Veldkamp,Fang Zhao,Philip J. Ward,H. de Moel,Jeroen C. J. H. Aerts,Jeroen C. J. H. Aerts,H. Müller Schmied,Felix T. Portmann,Yoshimitsu Masaki,Yadu Pokhrel,Xingcai Liu,Yusuke Satoh,Dieter Gerten,Dieter Gerten,Simon N. Gosling,Jamal Zaherpour,Yoshihide Wada,Yoshihide Wada +18 more
TL;DR: In this article, the authors compare the results of five state-of-the-art global hydrological models (GHMs) with observations to examine the role of human impact parameterizations (HIP) in the simulation of the mean, high, and low flows.