Abstract
This study compares the capability of simple data-driven and process-driven models to simulate daily discharge in a snow dominated semi-arid watershed in relation to its hydro-meteorological characteristics. M5 model tree was considered for daily discharge simulation of Taleghan watershed in north of Iran, and the results were compared with those of IHACRES and HSPF models. Results showed that with the same meteorological input data, the HSPF model performed best in predicting the daily runoff followed by the IHACRES model. M5 model overestimated the daily runoff in low flow season (May-December) as the water required to fill the watershed storage capacity was not considered by the model. Using the stream discharge of the prior day (Qt-1) as additional input to the M5 model resulted in much improved simulation of daily discharge (RMSE = 3.55, NSE = 0.94, KGE = 0.96).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Hydrology Science and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
