floodX: Urban flash flood experiments monitored with conventional
and alternative sensors
Matthew Moy de Vitry1,2, Simon Dicht1, and João P. Leitão11Eawag: Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland 2Institute of Civil, Environmental and Geomatic Engineering, ETH Zürich, 8093 Zurich, Switzerland
Received: 01 Feb 2017 – Accepted for review: 22 Feb 2017 – Discussion started: 23 Feb 2017
Abstract. The datasets described in this paper are intended to provide a basis on which new methods for monitoring and modelling urban pluvial flash floods can be developed. Pluvial flash floods are a growing hazard to property and inhabitants' well-being in urban areas. However, the lack of appropriate data collection methods is often cited as an impediment for reliable flood modelling, thereby hindering the improvement of flood risk mapping and early warning systems. In the floodX project, 37 controlled urban flash floods were generated and monitored in a flood response training facility with state-of-the-art conventional sensors in the drainage network, as well as alternative sensors on the surface, namely temperature probes and surveillance cameras. With these data, the technical feasibility of utilizing citizen science and computer vision for urban flood monitoring can be explored. The floodX project stands out as the largest documented flood experiment of its kind, providing both conventional and alternative data types in parallel and at high temporal resolution. Besides describing the flash flood experiments and the resulting datasets, weaknesses in the data and lessons learned are also described. The main data package is openly available at http://doi.org/10.5281/zenodo.236878<\a>.
Moy de Vitry, M., Dicht, S., and Leitão, J. P.: floodX: Urban flash flood experiments monitored with conventional
and alternative sensors, Earth Syst. Sci. Data Discuss., doi:10.5194/essd-2017-7, in review, 2017.