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Stormwater management impacts of small urbanising towns: The necessity of investigating the 'devil in the detail'
Browne, S., Lintern, A., Jamali, B., Leitão, J. P., & Bach, P. M. (2021). Stormwater management impacts of small urbanising towns: The necessity of investigating the 'devil in the detail'. Science of the Total Environment, 757, 143835 (13 pp.). https://doi.org/10.1016/j.scitotenv.2020.143835
Not all SuDS are created equal: impact of different approaches on combined sewer overflows
Joshi, P., Leitão, J. P., Maurer, M., & Bach, P. M. (2021). Not all SuDS are created equal: impact of different approaches on combined sewer overflows. Water Research, 191, 116780 (13 pp.). https://doi.org/10.1016/j.watres.2020.116780
Water level prediction from social media images with a multi-task ranking approach
Chaudhary, P., D'Aronco, S., Leitão, J. P., Schindler, K., & Wegner, J. D. (2020). Water level prediction from social media images with a multi-task ranking approach. ISPRS Journal of Photogrammetry and Remote Sensing, 167, 252-262. https://doi.org/10.1016/j.isprsjprs.2020.07.003
Analysis of effect of rainfall patterns on urban flood process by coupled hydrological and hydrodynamic modeling
Cheng, T., Xu, Z., Yang, H., Hong, S., & Leitao, J. P. (2020). Analysis of effect of rainfall patterns on urban flood process by coupled hydrological and hydrodynamic modeling. Journal of Hydrologic Engineering, 25(1), 04019061 (14 pp.). https://doi.org/10.1061/(ASCE)HE.1943-5584.0001867
Data-driven flood emulation: speeding up urban flood predictions by deep convolutional neural networks
Guo, Z., Leitão, J. P., Simões, N. E., & Moosavi, V. (2020). Data-driven flood emulation: speeding up urban flood predictions by deep convolutional neural networks. Journal of Flood Risk Management, e12684 (14 pp.). https://doi.org/10.1111/jfr3.12684
The new town of Angra (Terceira, the Azores): confirming a contested urban planning history using reverse historical analysis and flood modelling tools
Leite, A., & Leitão, J. (2020). The new town of Angra (Terceira, the Azores): confirming a contested urban planning history using reverse historical analysis and flood modelling tools. Urban History. https://doi.org/10.1017/S0963926819001093
The potential of proxy water level measurements for calibrating urban pluvial flood models
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 (14 pp.). https://doi.org/10.1016/j.watres.2020.115669
How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan
Blumensaat, F., Leitão, J. P., Ort, C., Rieckermann, J., Scheidegger, A., Vanrolleghem, P. A., & Villez, K. (2019). How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan. Environmental Science and Technology, 53(15), 8488-8498. https://doi.org/10.1021/acs.est.8b06481
Automated localization of urban drainage infrastructure from public-access street-level images
Boller, D., Moy de Vitry, M., Wegner, J. D., & Leitão, J. P. (2019). Automated localization of urban drainage infrastructure from public-access street-level images. Urban Water Journal, 16(7), 480-493. https://doi.org/10.1080/1573062X.2019.1687743
Flood-water level estimation from social media images
Chaudhary, P., D'Aronco, S., Moy de Vitry, M., Leitão, J. P., & Wegner, J. D. (2019). Flood-water level estimation from social media images. In G. Vosselman, S. J. Oude Elberink, & M. Y. Yang (Eds.), ISPRS annals of the photogrammetry, remote sensing and spatial information sciences: Vol. IV-2/W5. ISPRS geospatial week (pp. 5-12). https://doi.org/10.5194/isprs-annals-IV-2-W5-5-2019
Public surveillance and the future of urban pluvial flood modelling
Moy de Vitry, M. (2019). Public surveillance and the future of urban pluvial flood modelling [Doctoral dissertation, ETH Zurich]. https://doi.org/10.3929/ethz-b-000397587
Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network
Moy de Vitry, M., Kramer, S., Wegner, J. D., & Leitão, J. P. (2019). Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network. Hydrology and Earth System Sciences, 23(11), 4621-4634. https://doi.org/10.5194/hess-23-4621-2019
Smart urban water systems: what could possibly go wrong?
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(8), 081001 (4 pp.). https://doi.org/10.1088/1748-9326/ab3761
Generalizing multi-reward functions aimed at identifying the best locations to install flow control devices in sewer systems
Muñoz, D. F., Simões, N. E., de Sousa, L. M., Maluf, L., Sá Marques, A., & Leitão, J. P. (2019). Generalizing multi-reward functions aimed at identifying the best locations to install flow control devices in sewer systems. Urban Water Journal, 16(8), 564-574. https://doi.org/10.1080/1573062X.2019.1700284
Abflussmessungen mittels Videos. Einsatz von Webcams und Smartphones
Peña-Haro, S., Carrel, M., Lüthi, B., Wang, L., Dicht, S., & Leitão, J. P. (2019). Abflussmessungen mittels Videos. Einsatz von Webcams und Smartphones. Aqua & Gas, 99(10), 42-45.
Es überschwemmt und keiner sieht zu?! Oberflächenabflussmessungen im urbanen Raum mittels Videomaterial von Überwachungskameras
Peña-Haro, S., Lüthi, B., Carrel, M., Scheidegger, A., de Vitry, M. M., & Leitão, J. P. (2019). Es überschwemmt und keiner sieht zu?! Oberflächenabflussmessungen im urbanen Raum mittels Videomaterial von Überwachungskameras. Aqua & Gas, 99(5), 44-50.
Sewer asset management - state of the art and research needs
Tscheikner-Gratl, F., Caradot, N., Cherqui, F., Leitão, J. P., Ahmadi, M., Langeveld, J. G., … Clemens, F. (2019). Sewer asset management - state of the art and research needs. Urban Water Journal, 16(9), 662-675. https://doi.org/10.1080/1573062X.2020.1713382
Analysing the importance of variables for sewer failure prediction
Amado, C., Carvalho, G., Brito, R. S., Coelho, S. T., & Leitão, J. P. (2018). Analysing the importance of variables for sewer failure prediction. Urban Water Journal, 15(4), 338-345. https://doi.org/10.1080/1573062X.2018.1459748
Automatisierte Erfassung von Siedlungsentwässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks
Boller, D., Moy de Vitry, M., Wegner, J. D., & Leitão, J. P. (2018). Automatisierte Erfassung von Siedlungsentwässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks. In T. G. Schmitt (Ed.), Schriftenreihe Wasser Infrastruktur Ressourcen: Vol. 1. Regenwasser in urbanen Räumen. aqua urbanica trifft RegenwasserTage 2018. Tagungsband (pp. 251-254). Institut Wasser Infrastruktur Ressourcen.
Automatisierte Erfassung von Siedlungsentwässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks
Leitão, J. P., Peña, S., Lüthi, B., & Moy de Vitry, M. (2018). Automatisierte Erfassung von Siedlungsentwässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks. In T. G. Schmitt (Ed.), Schriftenreihe Wasser Infrastruktur Ressourcen: Vol. 1. Regenwasser in urbanen Räumen. aqua urbanica trifft RegenwasserTage 2018. Tagungsband (pp. 269-272). Institut Wasser Infrastruktur Ressourcen.