<i>A Comparison of Daily Streamflow Prediction by an Artificial Neural Network and the Soil and Water Assessment Tool (SWAT) in Two Small Watersheds in Central South Texas</i>

2021 ◽  
Author(s):  
Xiaohan Mei ◽  
Patricia K. Smith
2021 ◽  
Vol 5 (2) ◽  
pp. 173-182
Author(s):  
Shehu Usman Haruna ◽  
Aliyu Kasim Abba ◽  
Rabi'u Aminu

The present study compared the performance of two different models for streamflow simulation namely: Soil Water Assessment Tool (SWAT) and the Artificial Neural Network (ANN). During the calibration periods, the Nash-Sutcliff (NS) and Coefficient of Determination (R2) for SWAT was 0.74 and 0.81 respectively, whereas for ANN, it was 0.99 and 0.85 respectively. The ANN performs better during the validation period as the result revealed with NS and R2 having 0.98 and 0.89 respectively, while for the SWAT model it was 0.71 and 0.74 respectively. Based on the recommended comparison of graphical and statistical evaluation performances of both models, the ANN model performed better in estimating peak flow events than the SWAT model in the Upper Betwa Basin. Furthermore, the rigorous time required and expertise for calibration of the SWAT is much less as compared with the ANN. Moreover, the results obtained from both models demonstrate the performances of the


2016 ◽  
Vol 15 (1) ◽  
pp. 175-188 ◽  
Author(s):  
Mohsen Salarpour ◽  
Milad Jajarmizadeh ◽  
Sobri Harun ◽  
Rozi Abdullah

2010 ◽  
Vol 44 (18) ◽  
pp. 7138-7144 ◽  
Author(s):  
Tze Ling Ng ◽  
J. Wayland Eheart ◽  
Ximing Cai ◽  
Fernando Miguez

Author(s):  
Narayan K. Shrestha ◽  
Taimoor Akhtar ◽  
Uttam Ghimire ◽  
Ramesh P. Rudra ◽  
Pradeep K. Goel ◽  
...  

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