Abstract
Global climate changesfrequently cause severe floodingwhich damage peoples propertiesand livesin Taiwan. As a result, the Taiwan government initiated a long-term plan to prevent flooding by regulating 130 rivers in flood-prone areas. However, the budget is limited and cannot meet the total cost of the hydraulic engineering of the 130 rivers. How to objectively and efficiently prioritize rivers that need to be regulated remains a major challenge for the government. This research collected the information of regulating 130 rivers in terms of their costs and benefits; then it utilized a hybrid method that integratesboththedynamic programming and the Paretofront analysis (designated as DPPF here) to develop a budget allocation model.The results show that this model can help the government to save up to NT$ 2.153 billionannually.
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