OPTIMIZATION PARAMETERS OF RAINFALL-RUNOFF MODEL OF HEC-HMS THROUGH PSO ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

GARMEI REZA; FARIDHOSSEINI ALI REZA

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2015 | Volume:46 | Issue:2 Page(s): 255-264

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

2,072

Download:

Cites:

Information Journal Paper

Title

OPTIMIZATION PARAMETERS OF RAINFALL-RUNOFF MODEL OF HEC-HMS THROUGH PSO ALGORITHM

Author(s)

GARMEI REZA | FARIDHOSSEINI ALI REZA | Issue Writer Certificate

Keywords

SWARM INTELLIGENCE ALGORITHMS OF PSOQ2

HEC-HMS SIMULATION MODELQ2

AUTOMATIC CALIBRATIONQ2

Abstract

Structural constraints of hydrological models and a lack of access to all the parameters of watershed along with an impossibility of determining the boundary and initial conditions, necessitates the need for calibration of hydrological models. As manual calibration is tedious, especially in the face of limited data and plenty of parameters, AUTOMATIC CALIBRATION methods, employing a systematic search in a multidementional space, could be in finding suitable parameter sets through at least one objective function. Throughout the present work HEC-HMS acts as the simulation model and PSO as the optimization one. The HEC-HMS programming was done through MATLAB. The proposed integrated model was implemented for Kardeh dam basin in Khorasan Razavi province. The Model calibrated through RMSE objective function in three-event different scenarios led to the bunch of different parameters. All scenarios were validated and a comparison of objective function values as well as correlation coefficient between the observed and simulated discharge done. Results indicated three sets of solutions as an optimal solution, which emphasized the impossibility of obtaining unique parameters for a river basin. This method of solution, because of non-unique solution for calibration, would be helpful as an inverse problem which can limit the number of candidate answers.

Cites

No record.

References

No record.

Cite

APA: Copy

GARMEI, REZA, & FARIDHOSSEINI, ALI REZA. (2015). OPTIMIZATION PARAMETERS OF RAINFALL-RUNOFF MODEL OF HEC-HMS THROUGH PSO ALGORITHM. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 46(2), 255-264. SID. https://sid.ir/paper/225556/en

Vancouver: Copy

GARMEI REZA, FARIDHOSSEINI ALI REZA. OPTIMIZATION PARAMETERS OF RAINFALL-RUNOFF MODEL OF HEC-HMS THROUGH PSO ALGORITHM. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2015;46(2):255-264. Available from: https://sid.ir/paper/225556/en

IEEE: Copy

REZA GARMEI, and ALI REZA FARIDHOSSEINI, “OPTIMIZATION PARAMETERS OF RAINFALL-RUNOFF MODEL OF HEC-HMS THROUGH PSO ALGORITHM,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 46, no. 2, pp. 255–264, 2015, [Online]. Available: https://sid.ir/paper/225556/en

Related Journal Papers