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Volume 9, issue 2
Earth Syst. Sci. Data, 9, 657-666, 2017
https://doi.org/10.5194/essd-9-657-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 9, 657-666, 2017
https://doi.org/10.5194/essd-9-657-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 04 Sep 2017

Review article | 04 Sep 2017

floodX: urban flash flood experiments monitored with conventional and alternative sensors

Matthew Moy de Vitry1,2, Simon Dicht1, and João P. Leitão1 Matthew Moy de Vitry et al.
  • 1Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
  • 2Institute of Civil, Environmental and Geomatic Engineering, ETH Zurich, 8093 Zurich, Switzerland

Abstract. The data sets described in this paper provide a basis for developing and testing new methods for monitoring and modelling urban pluvial flash floods. 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. The potential of surveillance infrastructure and social media is starting to draw attention for this purpose. In the floodX project, 22 controlled urban flash floods were generated in a flood response training facility and monitored with state-of-the-art sensors as well as standard surveillance cameras. With these data, it is possible to explore the use of video data and computer vision for urban flood monitoring and modelling. The floodX project stands out as the largest documented flood experiment of its kind, providing both conventional measurements and video data in parallel and at high temporal resolution. The data set used in this paper is available at https://doi.org/10.5281/zenodo.830513.

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Pluvial flash floods are a growing hazard in urban areas but the lack of appropriate data collection methods hinders the improvement of flood risk mapping and early warning systems. In the floodX project, 22 controlled urban flash floods were generated in a flood response training facility and monitored with state-of-the-art sensors complemented with standard surveillance cameras. The data can be used to explore vision-based monitoring concepts and flood model calibration strategies.
Pluvial flash floods are a growing hazard in urban areas but the lack of appropriate data...
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