ScholarWorks@경상국립대학교

초록

Rainfall data is one of the most important data in hydrologic modeling. In this study, the impacts of spatial resolution of precipitation data onhydrological responses were assessed using SWAT in the Santa Fe River Basin, Florida. High correlations were found between the FAWN and NLDASrainfall data, which are observed weather data and simulated weather data based on observed data, respectively. FAWN-based scenarios had highermaximum rainfall and more rainfall days and events compared to NLDAS-based scenarios. Downstream areas showed lower correlations between rainfalland peak discharge than upstream areas due to the characteristics of study site. All scenarios did not show significant differences in base flow, andshowed less than 5% of differences in high flows among NLDAS-based scenarios. The impact of resolution will appear differently depending on thecharacteristics of the watershed and topography and the applied model, and thus, is a process that must be considered in advance in runoff simulationresearch. The study suggests that applying the research method to watersheds in Korea may yield more pronounced results, and highlights theimportance of considering data resolution in hydrologic modeling.

키워드