Related Links
Application of Flow Function Model in Optimization of Human Resources for Operation of Irrigation Networks | ||
| تحقیقات مهندسی سازه های آبیاری و زهکشی | ||
| Article 7, Volume 19, Issue 72, November 2018, Pages 87-100 PDF (1.02 M) | ||
| Document Type: Original Article | ||
| DOI: 10.22092/idser.2018.115322.1253 | ||
| Authors | ||
| mohamad bazaz1; ebrahim amiri tokaldany* 2 | ||
| 1university of Tehran- college of agriculture and natural resources-faculty of irrigation and reclamation | ||
| 2null | ||
| Abstract | ||
| In this research, distribution of flow in irrigation networks with the aim of optimizing the covered distance to open and close the gates for irrigation, as well as the regulation number of control gates inside distributor channel was investigated. In order to simulate the flow distribution, flow function model was used because it simulates the flow distribution by considering the existing restrictions in irrigation networks such as canal flow capacity and the operation time, there is possibility to provide optimized irrigation planning. The optimization was carried out using Genetic Algorithm and in order to verify the performance of the provided model, the flow distribution in AMX canal of Varamin Irrigation Network was simulated and the optimized value of the relevant parameters was determined. According to the results obtained from the model, it was found that to achieve optimized irrigation planning, the number of regulation gates in distributer canal could be reduced to 7, while the covered distance for opening and closing the gates, the discharge of main canal, and the operation time of the canal should be 37526 m, 1244 litre per second, and 216 respectively. Comparing the results with those provided from previous researches showed that the model presented in this research can be used as a powerful tool for modelling some functions of the flow distribution in irrigation networks. | ||
| Keywords | ||
| Flow Distribution; Flow Function Based Model; Gate Regulation; Operation Time; Optimized Irrigation Planning | ||
| References | ||
|
Anil, W. P., Yogesh, P. M. and Komar, R. 2013. Optimal water scheduling canal network using particle swarm optimization. Irrig. Drain. 62, 135-144.
Anwar, A. and Clarke, D. 2001. Irrigation scheduling using mixed-integer linear programming. J. Irrig. Drain. Eng. 127(2): 63-69.
Kakooi, S. and Emadi, A. R. 2013. Optimal water delivery and distribution in AMX canal of Varamin irrigation network using ACS algorithm. Iranian Water Res. J. 13, 51-58. (in Persian)
Kanooni, A. and Monem, M. J. 2014. Integrated stepwise approach for optimal water allocation in irrigation canals. Irrig. Drain. 63, 12-21.
Kanooni, A. 2013. Development of an integrated optimal water allocation and distribution model at different levels of irrigation networks. Ph. D. Thesis. Faculty of Agriculture. Tarbiat Modares University. Tehran, Iran. (in Persian)
Monem, M. J. and Namdarian, R. 2005. Application of simulated annealing (SA) techniques for optimal water distribution in irrigation canals. Irrig. Drain. 54, 365-373.
Monem, M. J. and Nouri, M. A. 2010. Application of PSO method for optimal water delivery in irrigation networks. Iranian J. Irrig. Drain. 1(4): 73-82. (in Persian)
Moti-Ghader, H., Lotfi, S. H. and Seyyed-Asfahlan, M. 2010. An Overview of Some Intelligent Optimization Method. Islamic Azad University Press. Shabestar, Iran. (in Persian)
Reddy, J. M., Wilamowski, B. and Sharmasarkar, F. C. 1999. Optimal scheduling irrigation for lateral canals. ICID J. Irrig. Drain. 48, 1- 12.
Sothea, H., Pierreo, M., Gilles, B. and Cyril, G. 2012. Optimization of irrigation scheduling for complex water distribution using mixed integer quadratic programming (MIPQ). Proceeding of the International Conference on Hydroinformatics . July 14-18. Hamburg, Germany.
Suryavanshi, A. R. and Reddy, J. M. 1986. Optimal operation scheduling of irrigation distribution system. Agr. Water Manage. 11, 23-30.
Wang, Z. R., Mohan, J. and Feyan, J. 1995. Improved 0-1 programing model for optimal flow scheduling in irrigation canals. J. Irrig. Drain. Sys. 9, 105-116.
Zia, U. H. and Anvar, A. 2010. Irrigation scheduling with genetic algorithms. J. Irrig. Drain. Eng. | ||
|
Statistics Article View: 379 PDF Download: 299 |
||
Journal management system. designed by sinaweb