M
Marjolein H. J. van Huijgevoort
Researcher at Princeton University
Publications - 10
Citations - 317
Marjolein H. J. van Huijgevoort is an academic researcher from Princeton University. The author has contributed to research in topics: Environmental science & Flood myth. The author has an hindex of 4, co-authored 6 publications receiving 183 citations. Previous affiliations of Marjolein H. J. van Huijgevoort include Wageningen University and Research Centre.
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Journal ArticleDOI
Human–water interface in hydrological modelling : current status and future directions
Yoshihide Wada,Yoshihide Wada,Marc F. P. Bierkens,Ad de Roo,Paul A. Dirmeyer,James S. Famiglietti,Naota Hanasaki,Megan Konar,Junguo Liu,Junguo Liu,Hannes Müller Schmied,Taikan Oki,Taikan Oki,Yadu Pokhrel,Murugesu Sivapalan,Tara J. Troy,Albert van Dijk,Tim van Emmerik,Marjolein H. J. van Huijgevoort,Henny A. J. Van Lanen,Charles J. Vörösmarty,Charles J. Vörösmarty,Niko Wanders,Niko Wanders,Howard Wheater +24 more
TL;DR: In this article, the authors provide a synthesis of progress in the development and application of human impact modelling in hydrological models and highlight a number of key challenges and discuss possible improvements in order to better represent the human-water interface.
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The challenge of unprecedented floods and droughts in risk management
Heidi Kreibich,Anne Van Loon,Kai Schröter,Philip J. Ward,Maurizio Mazzoleni,Nivedita Sairam,G. W. Abeshu,S. A. Agafonova,Amir AghaKouchak,Hafzullah Aksoy,Camila Alvarez-Garreton,Blanca Aznar,L. Balkhi,Marlies Barendrecht,Sylvain Biancamaria,Liduin Bos-Burgering,Chris Bradley,Yus Budiyono,Wouter Buytaert,Lucinda Capewell,H. L. Carlson,Yonca Cavus,Anaïs Couasnon,Gemma Coxon,Ioannis N. Daliakopoulos,Marleen de Ruiter,Claire Delus,Mathilde Erfurt,Giuseppe Esposito,Didier Francois,Frédéric Frappart,Jim Freer,Natalia Frolova,Animesh K. Gain,Manolis Grillakis,Jordi Oriol Grima,Diego Guzmán,Laurie S. Huning,Monica Ionita,M. A. Kharlamov,Dao Nguyen Khoi,N. Kieboom,Maria Kireeva,Aristeidis Koutroulis,W. Lavado-Casimiro,Hongyi Li,Maria Carmen Llasat,David Macdonald,Johanna Mård,Hannah Mathew-Richards,Andrew P. Mackenzie,Alfonso Mejia,Eduardo Mario Mendiondo,Marjolein Mens,Shifteh Mobini,Guilherme Samprogna Mohor,Viorica Nagavciuc,Thanh Ngo-Duc,Thi Thao Nguyen Huynh,Pham Thi Nhi,Olga Petrucci,Hong Quan Nguyen,Pere Quintana-Seguí,Saman Razavi,Elena Ridolfi,J. Riegel,Md. Shibly Sadik,Elisa Savelli,A. A. Sazonov,Sanjib Sharma,Johanna Sörensen,Felipe Augusto Arguello Souza,Kerstin Stahl,Max Steinhausen,Michael Stoelzle,Wiwiana Szalińska,Qiuhong Tang,Fuqiang Tian,Tammy Tokarczyk,Carolina Tovar,Thierry Tran,Marjolein H. J. van Huijgevoort,Michelle T. H. van Vliet,Sergiy Vorogushyn,Thorsten Wagener,Yueling Wang,Doris Wendt,Elliot Wickham,Long Yang,Mauricio Zambrano-Bigiarini,Günter Blöschl,Giuliano Di Baldassarre +91 more
TL;DR: In this article , the authors show that risk management generally reduces the impacts of floods and droughts, but faces difficulties in reducing impacts of unprecedented events of a magnitude not previously experienced.
Journal ArticleDOI
Harnessing big data to rethink land heterogeneity in Earth system models
Nathaniel W. Chaney,Marjolein H. J. van Huijgevoort,Elena Shevliakova,Sergey Malyshev,Paul C.D. Milly,Paul P. G. Gauthier,Benjamin N. Sulman +6 more
TL;DR: In this paper, a hierarchical multivariate clustering approach (HMC) is introduced that summarizes the high-dimensional environmental data space into hydrologically interconnected representative tiles (i.e., tiles) and their associated properties are used to parameterize the sub-grid heterogeneity of the LM4-HB land model.
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Hydrological Classification, a Practical Tool for Mangrove Restoration.
TL;DR: A simple, but robust methodology to determine hydrological suitability for mangrove species is presented, which can guide restoration practice and a number of recommendations are given to improve the effectiveness ofMangrove restoration projects.
Journal ArticleDOI
Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands
TL;DR: In this paper , a time series modelling-based method for data preparation was developed and applied to map the spatio-temporal development of the 2018-2019 groundwater drought in the south-eastern Netherlands, based on a large set of monitoring data.