Preprints
https://doi.org/10.5194/nhess-2016-141
https://doi.org/10.5194/nhess-2016-141

  27 Jun 2016

27 Jun 2016

Review status: this preprint has been withdrawn by the authors.

Data-driven Flood Analysis and Decision Support

Meng-Han Tsai1, Er-Xuan Sung2, and Shih-Chung Kang2 Meng-Han Tsai et al.
  • 1Center for Weather Climate and Disaster Research, Taipei, 10617, Taiwan
  • 2Department of Civil Engineering, National Taiwan University, Taipei, 10617, Taiwan

Abstract. Flood management is a critical issue when facing natural disasters. In current practice, the evaluation of potential threat areas is a multi-disciplinary task. It requires much communication and coordination between institutions such as the meteorological unit and hydrological unit, which makes the process time-consuming and less efficient. This study developed a system called FloodViz, which integrates all the associated tasks. FloodViz collects the rainfall forecasts from the meteorological agency, analyzes the datasets of rainfall forecasts using the rainfall threshold to evaluate the potential flood areas, and then organizes the results through data visualization to make them user-friendly for decision makers. To validate FloodViz, we tested this system during Typhoon Feng-wong. The results showed that FloodViz can reduce the time spent during the flood management process by 17 minutes. Based on the results, FloodViz can improve the operating efficiency of decision-making and help decision makers in their flood response.

This preprint has been withdrawn.

Meng-Han Tsai 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

Meng-Han Tsai et al.

Meng-Han Tsai et al.

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This preprint has been withdrawn.

Short summary
Urban flash flooding tends to be more frequent than usual in Taiwan. This article hence purposed a flood early warning system to reduce the risk of flood. The three main components of the system are rainfall data acquisition, identifying the potential flood area, and visually display the flood hazard map. The goal is to improve the operating efficiency of decision-making process by reducing the time of flood hazard map production and improving practitioners' efficiency on understanding hazard.
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