NHESSD Natural Hazards and Earth System Sciences Discussions NHESSD Nat. Hazards Earth Syst. Sci. Discuss. 2195-9269 Göttingen, Germany 10.5194/nhess-2016-141 Data-driven Flood Analysis and Decision Support Tsai Meng-Han 1 Sung Er-Xuan 2 Kang Shih-Chung 2 Center for Weather Climate and Disaster Research, Taipei, 10617, Taiwan Department of Civil Engineering, National Taiwan University, Taipei, 10617, Taiwan 27 06 2016 2016 1 14 Copyright: © 2016 Meng-Han Tsai et al. 2016 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://nhess.copernicus.org/preprints/nhess-2016-141/ The full text article is available as a PDF file from https://nhess.copernicus.org/preprints/nhess-2016-141/nhess-2016-141.pdf

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.