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João P. Leitão
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Overland flow and pathway analysis for modelling of urban pluvial flooding
Č Maksimović, D Prodanović, S Boonya-Aroonnet, JP Leitao, S Djordjević, ...
Journal of Hydraulic Research 47 (4), 512-523, 2009
2002009
Statistical failure models for water distribution pipes – A review from a unified perspective
A Scheidegger, JP Leitão, L Scholten
Water Research 83, 237-247, 2015
932015
Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas
JP Leitão, M Moy de Vitry, A Scheidegger, J Rieckermann
Hydrology and Earth System Sciences 20 (4), 1637, 2016
902016
High-quality observation of surface imperviousness for urban runoff modelling using UAV imagery
P Tokarczyk, JP Leitao, J Rieckermann, K Schindler, F Blumensaat
Hydrology and Earth System Sciences 19 (10), 4215-4228, 2015
542015
Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry
JP Leitão, S Peña-Haro, B Lüthi, A Scheidegger, MM de Vitry
Journal of Hydrology 565, 791-804, 2018
532018
Sewer asset management–state of the art and research needs
F Tscheikner-Gratl, N Caradot, F Cherqui, JP Leitão, M Ahmadi, ...
Urban Water Journal 16 (9), 662-675, 2019
512019
How urban storm-and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond-a horizon scan
F Blumensaat, JP Leitão, C Ort, J Rieckermann, A Scheidegger, ...
Environmental science & technology 53 (15), 8488-8498, 2019
512019
Flood-water level estimation from social media images
P Chaudhary, S D'Aronco, M Moy de Vitry, JP Leitão, JD Wegner
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
512019
Prioritization of rehabilitation interventions for urban water assets using multiple criteria decision-aid methods
N Carriço, DIC Covas, MC Almeida, JP Leitão, H Alegre
Water Science and Technology 66 (5), 1007-1014, 2012
442012
Real-time forecasting urban drainage models: full or simplified networks?
J Leitao, N Simoes, C Maksimovic, F Ferreira, D Prodanovic, J Matos, ...
Water Science & Technology 62 (9), 2106–2114, 2010
402010
Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network
M Moy de Vitry, S Kramer, JD Wegner, JP Leitão
Hydrology and Earth System Sciences 23 (11), 4621-4634, 2019
352019
Appraisal of data-driven and mechanistic emulators of nonlinear simulators: The case of hydrodynamic urban drainage models
JP Carbajal, JP Leitão, C Albert, J Rieckermann
Environmental modelling & software 92, 17-27, 2017
352017
Not all SuDS are created equal: Impact of different approaches on combined sewer overflows
P Joshi, JP Leitão, M Maurer, PM Bach
Water Research 191, 116780, 2021
332021
Towards the optimal fusion of high-resolution Digital Elevation Models for detailed urban flood assessment
JP Leitão, LM De Sousa
Journal of Hydrology 561, 651-661, 2018
332018
Stochastic urban pluvial flood hazard maps based upon a spatial-temporal rainfall generator
NE Simões, S Ochoa-Rodríguez, LP Wang, RD Pina, A Sá Marques, ...
Water 7 (7), 3396-3406, 2015
332015
The influence of digital elevation model resolution on overland flow networks for modelling urban pluvial flooding
J Leitão, S Boonya-Aroonnet, D Prodanovic, C Maksimovic
Water Science & Technology 60 (12), 3137–3149, 2009
332009
Smart urban water systems: what could possibly go wrong?
M Moy de Vitry, MY Schneider, OF Wani, L Manny, JP Leitão, S Eggimann
Environmental Research Letters 14 (8), 081001, 2019
322019
Methodology for qualitative urban flooding risk assessment
JP Leitão, MC Almeida, NE Simões, A Martins
Water science and technology 68 (4), 829-838, 2013
322013
Stochastic evaluation of the impact of sewer inlets’ hydraulic capacity on urban pluvial flooding
JP Leitão, NE Simões, RD Pina, S Ochoa-Rodriguez, C Onof, ...
Stochastic environmental research and risk assessment 31 (8), 1907-1922, 2017
302017
Data‐driven flood emulation: Speeding up urban flood predictions by deep convolutional neural networks
Z Guo, JP Leitão, NE Simões, V Moosavi
Journal of Flood Risk Management 14 (1), e12684, 2021
272021
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Articles 1–20