The quantitative assessment of agricultural water balance is a key component of water management policies for agricultural water resources. However, accurately estimating agricultural water usage remains challenging due to conventional water managemen...
The quantitative assessment of agricultural water balance is a key component of water management policies for agricultural water resources. However, accurately estimating agricultural water usage remains challenging due to conventional water management practices and the lack of fundamental data. Currently, agricultural water is estimated through water balance analyses conducted as part of major national water management plans. However, these analyses have methodological and data limitations, which can be categorized into three major issues. First, the agricultural water analysis in the First National Water Management Plan does not distinguish between water sources, such as reservoirs and river facilities, leading to an unrealistic representation of agricultural water supply and causing distortions in the estimation of water deficits and return flows. Second, the application of a uniform return flow rate results in inaccuracies in both supply and return flow estimations. Third, the Agricultural and Rural Water Use Rationalization Plan excludes river water balance assessments, overlooking the interconnections between facilities and river-based water systems. This study aims to develop a model that addresses these limitations. The research focuses on the mid-watershed of Anseongcheon, establishing the topological relationships of individual facilities based on river flow within sub-watersheds and constructing a water balance network that reflects watershed connectivity. The annual water demand and return flow rates, derived from rural water district water balance analyses, were integrated into the national water supply model, allowing for the incorporation of daily demand patterns on an annual scale for agricultural water balance analysis. Finally, the applicability of the developed model was assessed by comparing conventional MODSIM analysis results with integrated analysis results for the Anseongcheon mid-watershed.