Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ علوم و مهندسی آب و ف...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Daily Runoff Prediction in Maroun Basin Using HEC-HMS Model

Authors: Abbas Ahmadpor; Seyyedhassan Mirhashemi; Parviz Haghighat jou;

Daily Runoff Prediction in Maroun Basin Using HEC-HMS Model

Abstract

The prediction of stream-flow have incessantly attracted water engineer studies with due regard to its importance in the design of water structures, water intake from the rivers, planning and operation of reservoirs of dams, and erosion and sedimentation control measures in rivers. In this research, HEC-HMS model was used in prediction of daily stream-flow in the Maroun Basin, evaluating the ability and precision of this model in predicting stream-flow. For this purpose, continuous simulation of daily rainfall-runoff was performed before the prediction period using soil moisture accounting algorithm (SMA). In order to calibrate and verify the HEC-HMS model, daily stream-flow data from 1995 to 2006 and from 2007 to 2011 at the Idenak hydrometric Station were respectively used. Then, daily stream-flow at Idenak Station was predicted from 2011 to 2012. The results showed that the goodness of fit tests including Nash-Sutcliffe efficiency index, coefficient of determination and root mean square error in the runoff prediction process at Idenak station are equal to 0.56, 0.67 and 32.2 m3/s, respectively. Therefore, the HEC-HMS model has acceptable ability and precision in predicting runoff.

Keywords

idanak station, Water supply for domestic and industrial purposes, hec-hms model, nash-sutcliffe coefficient, simulation of rainfall-runoff, prediction of stream-flow, TD201-500

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold