Volume 23, Issue 3 (Fall 2019)                   jwss 2019, 23(3): 141-155 | Back to browse issues page

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Barkhordari S, Hashemy Shahdany M, Bagherzadeh Khalkhali A. Performance Evaluation of Two Strategies of “Lining” and “Automated Operation” in Reducing the Water Conveyance and Distribution Losses within the Main Canals, Case Study of Moghan Main Canal. jwss 2019; 23 (3) :141-155
URL: http://jstnar.iut.ac.ir/article-1-3699-en.html
1. Water Engineering Department, College of Aburaihan, University of Tehran, Tehran, Iran. , mehdi.hashemy@ut.ac.ir
Abstract:   (4277 Views)
Seepage losses and poor operational activities are the two main source of water losses throughout the agricultural water conveyance and distribution systems in irrigation districts. This study aims to investigate the performances of two strategies of “canal lining” and employing the “Canal Automation” in order to reduce the losses mentioned above. The investigation was carried out on a couple of main canal reaches of Moghan Irrigation Districts. Two numerical models were simulated by Seep/w software to compare the seepage rate between the canal with and without concrete lining. The results reveal that the ability of concrete lining to reduce seepage losses along the canal is about 10%. Performance assessment of the “Canal Automation” strategy to minimize operational losses within the main canal was carried out employing Model Predictive Control (MPC). The results of the latter strategy indicate that employing the MPC not only reduces the operational losses along the canal by 15% but also improves the operation of the main canal so that the minimum efficiency and adequacy performance indicator was obtained 100% and 83% respectively. Therefore; due to Executive considerations and financial constraints in the same cases, the potential of each of the two strategies can be considered to reduce the conveyance and distribution losses and ultimately choose the most suitable option.
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Type of Study: Research | Subject: Ggeneral
Received: 2018/04/18 | Accepted: 2018/10/29 | Published: 2019/12/23

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