Dr Marlies Barendrecht

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Marlies’ interests focus on the interactions between humans and water. She is interested in understanding how hydrology and hydrological extremes influence society and how society’s response and actions in turn influence the hydrology. She studies human-water systems using a variety of methods including the analysis of empirical data (both quantitative and qualitative), quantitative modelling of human-water systems, and the integration of empirical data and models. Marlies is working on modelling human-water systems experiencing drought-to-flood events as part of the PerfectSTORM project as a postdoctoral researcher at VU Amsterdam.

Previously, Marlies worked at the University of Cambridge on a study of flood resilience of the road transport network in Queensland, Australia as part of the Safer Complex Systems project funded by the Royal Academy of Engineering (UK) and the Lloyd’s Register Foundation.

Marlies obtained her PhD from the Technical University of Vienna where she was working on the integration of empirical data into the socio-hydrological modelling of the human-flood system. She holds a MSc. in Hydraulic Engineering and Water Resources Management from both Delft University of Technology and the National University of Singapore and a BSc. in Civil Engineering from Delft University of Technology.

Selected publications

• Barendrecht, M. H., McCarthy, S., & Viglione, A. (2021). A comparative analysis of the relationship between flood experience and private flood mitigation behaviour in the regions of England. Journal of Flood Risk Management, 14(2), e12700. https://doi.org/10.1111/jfr3.12700
• Barendrecht, M. H., Sairam, N., Cumiskey, L., Metin, A. D., Holz, F., Priest, S. J., & Kreibich, H. (2020). Needed: A systems approach to improve flood risk mitigation through private precautionary measures. Water Security, 11, 100080. https://doi.org/10.1016/j.wasec.2020.100080
• Barendrecht, M. H., Viglione, A., Kreibich, H., Merz, B., Vorogushyn, S., & Blöschl, G. (2019). The value of empirical data for estimating the parameters of a sociohydrological flood risk model. Water Resources Research, 55(2), 1312-1336. https://doi.org/10.1029/2018WR024128
• Barendrecht, M. H., Viglione, A., & Blöschl, G. (2017). A dynamic framework for flood risk. Water Security, 1, 3-11. https://doi.org/10.1016/j.wasec.2017.02.001