SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Performance assessment of spatial interpolation of precipitation for hydrological process simulation in Three Gorges Basin 
Authors:Cheng, M., Y. Wang, B. Engel, W. Zhang, H. Peng, X. Chen and H. Xia 
Year:2017 
Journal:Water 
Volume:9(11) 
Pages: 
Article ID:836 
DOI:10.3390/w9110838 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:climate data effects 
Secondary Application Category:hydrologic assessment 
Watershed Description:5,173 km^2 Pengxi River, a tributary of the Yangtze River located in the Three Gorges Reservoir drainage area in central China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Accurate assessment of spatial and temporal precipitation is crucial for simulating hydrological processes in basins, but is challenging due to insufficient rain gauges. Our study aims to analyze different precipitation interpolation schemes and their performances in runoff simulation during light and heavy rain periods. In particular, combinations of different interpolation estimates are explored and their performances in runoff simulation are discussed. The study was carried out in the Pengxi River basin of the Three Gorges Basin. Precipitation data from 16 rain gauges were interpolated using the Thiessen Polygon (TP), Inverse Distance Weighted (IDW), and Co-Kriging (CK) methods. Results showed that streamflow predictions employing CK inputs demonstrated the best performance in the whole process, in terms of the Nash–Sutcliffe Coefficient (NSE), the coefficient of determination (R2), and the Root Mean Square Error (RMSE) indices. The TP, IDW, and CK methods showed good performance in the heavy rain period but poor performance in the light rain period compared with the default method (least sophisticated nearest neighbor technique) in Soil and Water Assessment Tool (SWAT). Furthermore, the correlation between the dynamic weight of one method and its performance during runoff simulation followed a parabolic function. The combination of CK and TP achieved a better performance in decreasing the largest and lowest absolute errors compared to any single method, but the IDW method outperformed all methods in terms of the median absolute error. However, it is clear from our findings that interpolation methods should be chosen depending on the amount of precipitation, adaptability of the method, and accuracy of the estimate in different rain periods. 
Language:English 
Keywords:precipitation interpolation; runoff simulation; SWAT; the Three Gorges Basin