| Summary: | 博士 === 國立中興大學 === 土木工程學系所 === 101 === Taiwan faces long term exposure to natural hazards, such as floods, droughts and earthquakes, especially severe flooding which jeopardize the peoples’ properties and lives.
As a result, the government initiated long–term project to regulate and monitor 130 rivers in flood-prone areas.
However, the fiscal budget is limited and unable to meet the demand of the overall rectification costs for 130 rivers. How to objectively and efficiently prioritize these rivers for rectification works remains a major challenge for the government.
This research collected all possible information of the regulated 130 rivers, then utilizing dynamic programming and Pareto front analysis, as well as binary linear programming and the Pareto front analysis, to develop a budget allocation model.
The result shows this evaluation model can assist the government save up to NT $1.898~$1.979 billion, and achieve the same outcomes.
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