| Title: | Application of SWAT model with CMADS data to estimate hydrological elements and parameter uncertainty based on SUFI-2 algorithm in the Lijiang River Basin, China |
| Authors: | Cao, Y., J. Zhang, M. Yang, X. Lei, B. Guo, L. Yang, Z. Zeng and J. Qu |
| Year: | 2018 |
| Journal: | Water |
| Volume (Issue): | 10(6) |
| Pages: | |
| Article ID: | 742 |
| DOI: | 10.3390/w10060742 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 6,050 km^2 Lijiang River, a tributary of the Guijiang River (and larger Pearl River system) located in the northeast part of Guangxi Province in south central China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | The China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment
Tool model (CMADS) have been widely applied in recent years because of their accuracy.
An evaluation of the accuracy and efficiency of the Soil and Water Assessment Tool (SWAT) model
and CMADS for simulating hydrological processes in the fan-shaped Lijiang River Basin, China, was
carried out. The Sequential Uncertainty Fitting (SUFI-2) algorithm was used for parameter sensitivity
and uncertainty analysis at the daily scale. The pair-wise correlation between parameters and
the uncertainties associated with equifinality in model parameter estimation were investigated.
The results showed that the SWAT model performed well in predicting daily streamflow for
the calibration period (2009–2010). The correlation coefficient (R2) was 0.92, and the Nash-Sutcliffe
model efficiency coefficient (NSE) was 0.89. For the validation period (2011–2018), R2 = 0.89,
NSE = 0.88, and reasonable values for the P-factor, R-factor, and percent bias (PBIAS) were obtained.
In addition, the spatial and temporal variation of evapotranspiration (ET), surface runoff, and
groundwater discharge were analyzed. The results clearly showed that spatial variation in surface
runoff and groundwater discharge are strongly related to precipitation, while ET is largely controlled
by land use types. The contributions to the water budget by surface runoff, groundwater discharge,
and lateral flow were very different in flood years and dry years. |
| Language: | English |
| Keywords: | SWAT model; CMADS; Lijiang River; runoff; uncertainty analysis; hydrological elements |