Senior researcher (tenured)
Systems Engineering and Intelligent Network Operations, Department of Urban Water Management
Scopus author ID: 34870089600
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 and development of Cellular Automata urban drainage/ flood models and one-dimensional (1D) overland flow models. The ultimate goal is to investigate fast but accurate models targeted to be used in real-time flood forecasting applications.
More recently, 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.
Moy de Vitry, M., Leitão, J.P. (2020). The potential of proxy water level measurements for calibrating urban pluvial flood models. Water Research, 175, 115669. doi: 10.1016/j.watres.2020.115669
Tscheikner-Gratl, F., Caradot, N., Cherqui, F., Leitão, J.P., Ahmadi, M., Langeveld, J.G., Le Gat, Y., Scholten, L., Roghani, B., Rodriguez, J.P., Lepot, M., Stegeman, B., Heinrich-sen, A., Kropp, I., Kerres, K., Almeida, M.C., Bach, P.M., Moy de Vitry, M., Sá Marques, A., Simões, N.E., Rouault, P., Hernandez, N., Torres, A., Werey, C., Rulleau, B., Clemens, F. (2020). Sewer asset management – State of the art and research needs. Urban Water Journal, 16(8), 564–574. doi: 10.1080/1573062X.2020.1713382
Cheng, T., Xu, Z., Yang, H., Hong, S., Leitão, J.P. (2020). Analysis of the effect of rain-fall patterns on the urban flood process by coupled hydrological and hydrodynamic modelling. Journal of Hydrologic Engineering, 25(1). doi: 10.1061/(ASCE)HE.1943-5584.0001867
Moy de Vitry, M., Kramer, S., Dirk Wegner, J., Leitão, J.P. (2019). Scalable Flood Level Trend Monitoring with Surveillance Cameras using a Deep Convolutional Neural Network. Hydrology and Earth Systems Science, 23, 4621–4634. doi: 10.5194/hess-2018-570
Boller, D., Moy de Vitry, M., Wegner, J.D., Leitão, J.P. (2019). Automated localization of sewer infrastructure from public-access street-level images. Urban Water Journal, 16(7), 480-493. doi: 10.1080/1573062X.2019.1687743
Moy de Vitry, M., Schneider, M.Y., Wani, O., Manny, L., Leitão, J.P., Eggimann, S. (2019). Smart urban water systems: What could possibly go wrong? Environmental Research Letters, 14, 081001. doi: 10.1088/1748-9326/ab3761