SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Intercomparison of a lumped model and a distributed model for streamflow simulation in the Naoli River Watershed, northeast China 
Authors:Liu, G., Z. He, Z. Luan and S. Qi 
Article ID:1009 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:model comparison 
Secondary Application Category:hydrologic assessment 
Watershed Description:3688 km^2 Upper Naoli River, located in Sanjiang plain region in far northeast China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Water supply availability has significant impacts on the biggest base for commodity grain production: The Sanjiang Plain in northeast China. The SWAT (soil and water assessment tool) model and IHACRES (identification of unit hydrographs and component flows from rainfall, evapotranspiration and streamflow data) model were used for modelling streamflow variability in the upper Naoli River watershed to determine the applicability of hydrological models to the marsh rivers. Both the SWAT and IHACRES models were suitable for streamflow simulation, having R2 (coefficient of determination) and NS (Nash–Sutcliffe) values greater than 0.7, and PBIAS (percent bias) smaller than 25%. The IHACRES model was easy to use, with less data-preparation, and was found to be a better choice for runoff simulation in a watershed less affected by human activity. The simulation result was better in primeval times, i.e., 1956–1966, than the period 1967–2005, when its performance was found to be unfavorable. In contrast, the complex, processes-based SWAT model was found to be more appropriate for simultaneously simulating streamflow variability. In addition, the effects of land use change and human activities in the watershed—where agricultural activities are intensive—were evaluated. The study found that the SWAT model was potentially suitable for water resource planning and management. 
Keywords:hydrological modeling; upper Naoli River basin; runoff variability; SWAT model; IHACRES model