Application of HYSEP Model to Prediction of StreamflowComponents
Category | Hydrogeology |
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Group | GSI.IR |
Location | 21th symposium on geosciences |
Holding Date | 24 May 2008 |
Abstract:
Total stream flow comprises two main components in which total base flow and direct runoff. The former component includes secondary components resulted from groundwater discharging, overland flow produced by slow melting of snow and delayed interflow. The later component, the direct runoff component, consists of secondary components; surface runoff resulted from precipitation and prompt interflow. Separation of main components of total stream flow has been performed by HYSEP model on basis of daily stream flow data.This software employs three methods to compute values of above-mentioned main components; separate by fixed interval method, sliding interval method and local minimum method. For the reason that flood intensity related to maximum value of direct runoff and drought intensity related to minimum value of total base flow, both of them can analyze for different return period using Zayandeh-roud stream flow long term data as a case study.
General:
Total stream flow comprises two main components in which total base flow and direct runoff. The former component includes secondary components resulted from groundwater discharging, overland flow produced by slow melting of snow and delayed interflow. The later component, the direct runoff component, consists of secondary components; surface runoff resulted from precipitation and prompt interflow. Separation of main components of total stream flow has been performed by HYSEP model on basis of daily stream flow data.
This software employs three methods to compute values of above-mentioned main components; separate by fixed interval method, sliding interval method and local minimum method. For the reason that flood intensity related to maximum value of direct runoff and drought intensity related to minimum value of total base flow, both of them can analyze for different return period using Zayandeh-roud stream flow long term data as a case study.