An improved method for parameter identification of SWAT model
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
The sensitivity analysis and uncertainty analysis of model parameters are the preconditions for the construction of distributed hydrological model. In this study, a SWAT model was established for the Liao River Basin, and the parameters were calibrated via the SUFI-2 algorithm in SWAT-CUP. On this basis, a more convenient parameter identification method was proposed. The parameters of the main tributaries of Liao River were identified first, and then the best parameters calibrated from SWAT-CUP were applied to the TXINOUT files of each corresponding tributary sub-basin in the SWAT model. Thus a calibrated SWAT model was established with its parameters identified according to the main tributaries. This avoided the complexity of parameter identification in the original procedures of SWAT-CUP tool. The results showed that the average Nash coefficients at main hydrological stations in Zhaosutai River, Qing River, and Chai River were 0.60, 0.65, and 0.68 respectively in the calibration period, and 0.60, 0.72, and 0.77 respectively in the validation period. The results of parameter calibration improved much compared with the global parameter calibration. This parameter identification method can solve the problem that SWAT-CUP global calibration results cannot match both the upstream and downstream sections or the problem of pseudo match. It can avoid complicated parameter settings for land use type, soil texture, and slope of different sub-basins. At the same time, it can reduce the complexity of manual adjustment of SWAT model parameters. The method can be applied well to the process of SWAT model parameter identification.
Keywords:
Project Supported:
Clc Number:
Mobile website
® 2024 All Rights Reserved
冀公网安备13010502002656号
冀公网安备13010502002656号