Joao Paulo Leitao

Dr. Joao Paulo Leitao

Department Urban Water Management

About Me

Research scientist (on tenure-track)

Systems Engineering and Intelligent Network Operations, Department of Urban Water Management

ResearcherID: F-5292-2012

Scopus author ID: 34870089600

ORCID: 0000-0002-7371-0543

Google Scholar

Research interests

My research involves 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.

I am also interested in 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.

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.

Recent publications

de Sousa L. M., Leitão J.P. (in press). HexASCII: a file format for cartographical hexagonal grids. Transactions in GIS. doi: 10.1111/tgis.12304

Leitão, J.P., Carbajal, J.P., Rieckermann, J., Simões, N.E., Sá Marques, A., de Sousa, L.M. (2018). Identifying the best locations to install flow control devices in sewer networks to enable in-sewer storage. Journal of Hydrology, 556, 371-383. doi: 10.1016/j.jhydrol.2017.11.020

Moy de Vitry, M., Dicht, S., Leitão, J. P. (2017). floodX: Urban flash flood experiments monitored with conventional and alternative sensors. Earth System Science Data, 9, 657-666. doi: 10.5194/essd-9-657-2017

Carbajal, J. P., Leitão, J. P., Albert, C., Rieckermann, J. (2017). Appraisal of data-driven and mechanistic emulators of nonlinear simulators: The case of hydrodynamic urban drainage models. Environmental Modelling & Software, 92, 17–27. doi: 10.1016/j.envsoft.2017.02.006

Nariné Torres, M., Rodríguez, J.P., Leitão, J. P. (2017). Statistical analysis to identify sewer system characteristics involved in sewer pipes and urban trees interactions. Urban Forestry & Urban Greening. doi: 10.1016/j.ufug.2017.04.013

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Cost Effective Neural Technique to Alleviate Urban flood Risk
Urban flood experiments and alternative data acquisition methods
Hexagonal Grids for urban flood modelling

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Phone: +41 58 765 6714
Fax: +41 58 765 5802
Address: Eawag
Überlandstrasse 133
8600 Dübendorf
Office: BU C15

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Research Focus

Urban flood modelling and risk assessment

Urban water infrastructure planning 

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