Optimal allocation of water resources using Water Cycle Algorithm (WCA) (Case study: Gorganrood basin)

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.

AKBARIFARD SAEED; ghaderi kourosh; BAKHTIARI BAHRAM

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

Journal Paper

Paper Information

Journal: Journal of Water Resources Engineering Year:2018 | Volume:11 | Issue:36 Page(s): 33-46

Download Full-Text

Persian Verion

View:

1,555

Download:

Cites:

Information Journal Paper

Title

Optimal allocation of water resources using Water Cycle Algorithm (WCA) (Case study: Gorganrood basin)

Author(s)

AKBARIFARD SAEED | ghaderi kourosh | BAKHTIARI BAHRAM | Issue Writer Certificate

Keywords

Water Cycle AlgorithmQ1

Optimal allocationQ2

Gorganrood basinQ1

Golestan and Voshmgir DamsQ1

Abstract

In this research, a metaheuristic algorithm, called Water Cycle Algorithm (WCA), was developed in MATLAB software, with the purpose of Optimal allocation strategies of a multi-reservoirs system (Golestan and Voshmgir Dams) located at Gorganrood basin (north of Iran), for a five year period (from 2007-2008 to 2011-2012). At the first step, the performance of the developed algorithm was successfully assessed through several benchmark functions. Next, it was applied to the monthly allocation of Gorganrood multi-reservoirs system. The objective function was defined as the minimizing of the total deficit for the study period. The results of all applied algorithms were evaluated by reliability and vulnerability criteria. The results of WCA were compared with other developed evolutionary algorithms including Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The WCA, GA and PSO were capable to supply 97. 73, 87. 07 and 94. 3 percent of Golestan dam water demand, respectively. For the Voshmgir dam, the mentioned models could supply 97. 06, 87. 59 and 94. 47 percent of water demand, in same order. The temporal reliability (α =0. 9) for WCA, GA and PSO models, was obtained 95, 26. 67 and 58. 33 percent for Golestan dam and 91. 67, 38. 33 and 66. 67 percent for Voshmgir dam, respectively, revealed that the WCA was superior in Optimal allocation of multi-reservoirs system.

Cites

No record.

References

No record.

Cite

APA: Copy

AKBARIFARD, SAEED, ghaderi, kourosh, & BAKHTIARI, BAHRAM. (2018). Optimal allocation of water resources using Water Cycle Algorithm (WCA) (Case study: Gorganrood basin). WATER ENGINEERING, 11(36 ), 33-46. SID. https://sid.ir/paper/169635/en

Vancouver: Copy

AKBARIFARD SAEED, ghaderi kourosh, BAKHTIARI BAHRAM. Optimal allocation of water resources using Water Cycle Algorithm (WCA) (Case study: Gorganrood basin). WATER ENGINEERING[Internet]. 2018;11(36 ):33-46. Available from: https://sid.ir/paper/169635/en

IEEE: Copy

SAEED AKBARIFARD, kourosh ghaderi, and BAHRAM BAKHTIARI, “Optimal allocation of water resources using Water Cycle Algorithm (WCA) (Case study: Gorganrood basin),” WATER ENGINEERING, vol. 11, no. 36 , pp. 33–46, 2018, [Online]. Available: https://sid.ir/paper/169635/en

Related Journal Papers