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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/hess-2020-59
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-59
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  04 Mar 2020

04 Mar 2020

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This discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

Using unmanned aerial vehicle and volunteered geographic information to sophisticate urban flood modelling

Yuan-Fong Su1, Yan-Ting Lin2, Jiun-Huei Jang3, and Jen-Yu Han2 Yuan-Fong Su et al.
  • 1Slopeland and Hydrological Hazards Division, National Science and Technology Center for Disaster Reduction, New Taipei City, 231, Taiwan
  • 2Department of Civil Engineering, National Taiwan University, Taipei, 106, Taiwan
  • 3Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 701, Taiwan

Abstract. Sophisticated flood simulation in urban areas is a challenging task due to the difficulties in data acquisition and model verification. This study incorporates three rapid-growing technologies, i.e. volunteered geographic information (VGI), unmanned aerial vehicle (UAV), and computational flood simulation (CFS) to reconstruct the flash flood event occurred in 14 June 2015, GongGuan, Taipei. The high-resolution digital elevation model (DEM) generated by a UAV and the real-time VGI photos acquired from social network are served to establish and validate the CFS model, respectively. The DEM data are resampled based on two grid sizes to evaluate the influence of terrain resolution on flood simulations. The results show that flood scenario can be more accurately modelled as DEM resolution increases with better agreement between simulation and observation in terms of flood occurrence time and water depth. The incorporation of UAV and VGI lower the barrier of sophisticated CFS and shows great potential in flood impact and loss assessment in urban areas.

Yuan-Fong Su et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Yuan-Fong Su et al.

Yuan-Fong Su et al.

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Short summary
This study incorporates volunteered geographic information (VGI), unmanned aerial vehicle (UAV), and computational flood simulation (CFS) for flood analysis in urban areas. The digital elevation model (DEM) generated by a UAV and the VGI photos acquired from social network are served to establish and validate the CFS model, respectively. The results show that the flood scenarios can be more accurately modeled and the cost of sophisticated CFS can be greatly reduced with the help of UAV and VGI.
This study incorporates volunteered geographic information (VGI), unmanned aerial vehicle (UAV),...
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