Senior scientist (Group Leader), Siedlungswasserwirtschaft / T +41 58 765 6714 / joaopaulo.leitao@eawag.ch
Senior researcher (tenured)
ResearcherID: F-5292-2012
Scopus author ID: 34870089600
ORCID: 0000-0002-7371-0543
Google Scholar
Research interests
My research involves the development of new methods to improve urban hydrology/ hydraulic modelling accuracy, taking advantage of newly available data resources: (i) identify urban water systems features (e.g. sewer inlets and manholes) from aerial imagery obtained using Unmanned Aerial Vehicles (UAVs), and (ii) estimate flow velocity and surface water depth from videos acquired from urban surveillance cameras and social media images, respectively.
I am also interested in the development of urban flood models to more realistically assess urban flood risk. This focus on the improvement of one-dimensional (1D) overland flow models and development of novel data-driven flood models. The ultimate goal is to investigate fast but accurate models targeted to be used in real-time flood forecasting applications.
In addition, I am also investigating Infrastructure Asset Management methods aiming at improving the industry’s perennial need for more efficient infrastructure, geared to reducing costs and risks while increasing its performance and flexibility.
Recent publications
Figueroa, A., Hadengue, B., Leitão, J.P., Blumensaat, F. (2023). A framework for modelling in-sewer thermal-hydraulic dynamic anomalies driven by stormwater runoff and seasonal effects. Water Resaearch, 229. doi: 10.1016/j.watres.2022.119492
Probst, N., Bach, P.M., Cook, L.M., Maurer, M., Leitão, J.P. (2022). Blue Green Systems for urban heat mitigation: mechanisms, effectiveness and research directions. Blue-Green Systems, 4(2), doi: 10.2166/bgs.2022.028
Chaudhary, P., Leitão, J.P., D’Aronco, S., Perraudin, N., Obozinski, G., Perez-Cruz, F., Schindler, K., Wegner, J.D., Russo, S. (2022). Flood Uncertainty Estimation using Deep Ensembles. Water, 14, 2980. doi: 10.3390/w14192980
Guo, Z., Moosavi, V., Leitão, J.P. (2022). Data-driven rapid flood prediction mapping with catchment generalizability. Journal of Hydrology, 609, 127726. doi: 10.1016/j.jhydrol.2022.127726
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