Journal of Wetland Ecobiology
Volume 15, Issue 3 (Autumn 2023)
2023, 15(3): 39-46 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Fathian H. Continuous Maroon River flow modeling using the conceptual HEC-HMS model. Wetland Ecobiology 2023; 15 (3) : 5
URL: http://jweb.ahvaz.iau.ir/article-1-1129-en.html
URL: http://jweb.ahvaz.iau.ir/article-1-1129-en.html
Abstract: (238 Views)
Prediction of streamflow is essential for the effective operation of flood control reservoirs and earthen and concrete levee systems. Therefore, forecasting streamflow in watersheds is of great importance. In this study, daily streamflow prediction in the Marun watershed was carried out using the HEC-HMS model, in order to evaluate the capability and accuracy of this model in streamflow forecasting. For this purpose, continuous rainfall–runoff simulation on a daily basis prior to the prediction period was performed using the Soil Moisture Accounting (SMA) loss model. Calibration of the HEC-HMS model was conducted using daily discharge data from 2001 to 2006, and model validation was performed with data from 2007 to 2011 at the Idenak hydrometric station. Daily streamflow at the Idenak station was predicted for the period from November 5, 2011 to November 5, 2012. The results show that the statistical indices Nash–Sutcliffe efficiency, coefficient of determination, and root mean square error during the prediction stage at the Idenak station were 0.56, 0.67, and 32.2 cubic meters per second, respectively. Therefore, the HEC-HMS model demonstrates good accuracy and capability in predicting daily streamflow.
Article number: 5
Type of Study: Research |
Subject:
Special
Received: 2026/01/2 | Accepted: 2026/01/17 | Published: 2026/01/17
Received: 2026/01/2 | Accepted: 2026/01/17 | Published: 2026/01/17
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |