Maurizio mazzoleni

About me

I am a hydrologist, specialised in flood risk management, aiming at understanding and representing the complex interactions between floods, droughts and society at global and local scales. During my university studies, I moved to IHE Delft with the support of a scholarship awarded by University of Brescia to carry out my MSc Thesis on probabilistic flood hazard due to levee failure. After my MSc, I was involved in the KULTURisk Project as research fellow at the University of Brescia, proposing an innovative method for estimating probability of failure of levee systems in case of piping. Afterwards, I joined IHE Delft as PhD fellow, under the FP7 Project WeSenseIt, working on the assimilation of crowdsourced observations in hydrological and hydraulic models. After my PhD, I worked as Junior Lecturer at IHE Delft for the BPutra and H2020 GroundTruth 2.0 Project. Currently, I am involved in the “HydroSocialExtremes: Unravelling the mutual shaping of hydrological extremes and society (2018-2023)”.


My research interests include flood forecasting, data assimilation, large scale distributed hydrological modelling, remote sensing, flood risk and uncertainty analysis and reliability analysis of flood defence systems.

In the ERC project HydroSocialExtremes, I am working on understanding the complex feedback mechanisms between human, floods and droughts by using both global available datasets and dynamic modelling approaches such as system dynamics and Agent Based Models. In addition, I am also working on large-scale hydrological modelling and data assimilation for improving flood forecasting.

Key publications

  • Mazzoleni, M., Amaranto, A., and Solomatine, D. P. (2019). Integrating qualitative flow observations in a lumped hydrologic routing model. Water Resources Research, 55. DOI: 10.1029/2018WR023768
  • Mård, J, Di Baldassarre, G., and Mazzoleni, M. (2018). Nighttime light data reveal how flood protection shapes human proximity to rivers. Science Advances. 4, eaar5779. DOI: 10.1126/sciadv.aar5779
  • Mazzoleni, M., Verlaan, M., Alfonso, L., Monego, M., Norbiato, D., Ferri, M., and Solomatine, D. P. (2017). Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?, Hydrol. Earth Syst. Sci., 21, 839-861, DOI: 10.5194/hess-21-839-2017

More info