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Large national budgets are required for flood damage reduction projects, making it critical to ensure that public money used therein be spent efficiently. Accordingly, reliable assessment of flood damage is a critical issue in analysis of the economic aspects of flood damage reduction projects. To this end, this study aims to provide a GIS (geographical information system)-based technique for distributed flood damage assessment. We consider two aspects of flood damage assessment from an engineering and economic perspective, i.e. flood inundation analysis and multi-dimensional flood damage analysis (MD-FDA). To perform this assessment, we used a GIS-based framework and data processing method to assess damages. The proposed methodology was applied to flood control channel projects for flood disaster prevention in the Anyang Stream Basin in Korea and presents detailed GIS data processing and assessment results. Findings from this study may contribute to the improvement of usability of MD-FDA and may provide research directions for integrating economic and engineering factors. This distributed technique will also assist in the decision-making process when evaluating the economic feasibility of flood damage reduction projects for structural and non-structural measures.

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This study presents a framework for optimum scale determination for small hydropower development in a river basin. The framework includes the construction of hydrology and topography data, the simulation of hydropower operation, the economic analysis, and the determination of optimum scale of the small hydropower.The optimum scale of design flow and facility are determined by Net Present Value among economic analysis indices. The investment cost is estimated by the cost function derived from the construction cost of existing small hydropower plants. The benefit from power generation is estimated by the price announced by government.The presented framework is applied to the two potential sites in Cho River basin for the dam and run-of-river type of plants. Finally, the sensitivity analysis for a design flow and scale of the plant is performed for the each site. The usage of the framework presented in the study is highly expected for the estimation of potential hydropower resources or the decision support tool for a proprietor by estimating the optimum scale and economical feasibility in advance.keywords : small hydropower, optimum scale, economic analysis

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