Received: 24 Apr 2016 – Accepted for review: 19 Jun 2016 – Discussion started: 27 Jun 2016
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This preprint has been withdrawn.
How to cite. Tsai, M.-H., Sung, E.-X., and Kang, S.-C.: Data-driven Flood Analysis and Decision Support, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2016-141, 2016.
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.
Urban flash flooding tends to be more frequent than usual in Taiwan. This article hence purposed...