SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Long-term simulation of daily streamflow using radar rainfall and the SWAT model: A case study of the Gamcheon Basin of the Nakdong River, Korea 
Authors:Noh, H., J. Lee, N. Kang, D. Lee, H.S. Kim and S. Kim 
Journal:Advances in Meteorology 
Volume (Issue):2016 
Article ID:2485251 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:climate data effects 
Secondary Application Category:hydrologic assessment 
Watershed Description:1,005.3 km^2 Gamcheon River, a tributary of the Nakdong River located in north central South Korea. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:In recent years, with the increasing need for improving the accuracy of hydrometeorological data, interests in rain-radar are also increasing. Accordingly, with high spatiotemporal resolution of rain-radar rainfall data and increasing accumulated data, the application scope of rain-radar rainfall data into hydrological fields is expanding. To evaluate the hydrological applicability of rain-radar rainfall data depending on the characteristics of hydrological model, this study applied 𝑅gauge and 𝑅radar to a SWAT model in the Gamcheon stream basin of the Nakdong River and analyzed the effect of rainfall data on daily streamflow simulation. The daily rainfall data for 𝑅gauge, 𝑍, and 𝐾DP were utilized as input data for the SWAT model. As a result of the daily runoff simulation for analysis periods using 𝑍(P) and 𝐾DP(P), the simulation which utilized 𝑅gauge reflected the rainfall-runoff characteristics better than the simulations which applied 𝑍(P) or 𝐾DP(P). However, in the rainy or wet season, the simulations which utilized 𝑍(P) or 𝐾DP(P) were similar to or better than the simulation that applied 𝑅gauge. This study reveals that analysis results and degree of accuracy depend significantly on rainfall characteristics (rainy season and dry season) and QPE algorithms when conducting a runoff simulation with radar.