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The Integrated Approach of Simulation and Optimization in Determining the Optimum Dimensions of Canal for Seepage Control

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  • Mahmoud Mohammad Rezapour Tabari

    (Shahrekord University)

  • Mohsen Mazak Mari

    (Shahrekord University)

Abstract

The appropriate management of water resources in the world is a policy that can be used in the line of optimum water consumption. One of these management instructions is optimum designing of canal sections for transferring water in irrigation networks. Since water losses in an irrigation network include seepage and evaporation losses, and regarding that the seepage losses depends on the geometry of canal and evaporation losses depends on the free water level, the designing of canal section will be done with the minimum water loss which include minimizing the seepage and evaporation from the canal under uniform flow. Until now, the optimum designing has been done based on relations some of which have high errors in exact estimation of seepage value, so it is necessary to apply a more exact method in optimization process for estimating the seepage value in canal. In this study, the canal seepage value for different states have been modeled by using SEEP/W software package, then the most appropriate soft model have been extracted between the input data (the geometry of canal and the technical characteristics of the bed soil) and output data (seepage). The extracted soft model had been compared to other experimental relations of seepage estimation, and beside confirming its high exactness in estimating seepage compared to other methods, it also have been used as a more efficient method for estimating seepage in optimization process with the aim of minimizing water losses in canals. In the proposed structure, Manning equation has been introduced as the major constraint, allowed minimum velocity, and Froude number as the minor constraint of the problem. The results of this study have been presented in form of dimensionless diagrams that made it possible to design the canal’s dimensions simply. Investigating the results of present study and previously conduced researches indicate the significant changes of canal’s optimum dimension in the present study compared to other researches due to using the proposed method for estimating the seepage.

Suggested Citation

  • Mahmoud Mohammad Rezapour Tabari & Mohsen Mazak Mari, 2016. "The Integrated Approach of Simulation and Optimization in Determining the Optimum Dimensions of Canal for Seepage Control," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1271-1292, February.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:3:d:10.1007_s11269-016-1225-x
    DOI: 10.1007/s11269-016-1225-x
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    References listed on IDEAS

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    1. A. kumar & Manish Goyal & C. Ojha & R. Singh & P. Swamee & R. Nema, 2013. "Application of ANN, Fuzzy Logic and Decision Tree Algorithms for the Development of Reservoir Operating Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(3), pages 911-925, February.
    2. Gokmen Tayfur & Ata Nadiri & Asghar Moghaddam, 2014. "Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1173-1184, March.
    3. M. Rezapour Tabari & Shiva Tavakoli & Mohsen Mazak Mari, 2014. "Optimal Design of Concrete Canal Section for Minimizing Costs of Water Loss, Lining and Earthworks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3019-3034, August.
    4. Kinzli, Kristoph-Dietrich & Martinez, Matthew & Oad, Ramchand & Prior, Adam & Gensler, David, 2010. "Using an ADCP to determine canal seepage loss in an irrigation district," Agricultural Water Management, Elsevier, vol. 97(6), pages 801-810, June.
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    Cited by:

    1. Aly K. Salem & Yehya E. Imam & Ashraf H. Ghanem & Abdallah S. Bazaraa, 2022. "Genetic Algorithm Based Model for Optimal Selection of Open Channel Design Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5867-5896, December.
    2. Gaiqiang Yang & Mo Li & Lijuan Huo, 2019. "Decision Support System Based on Queuing Theory to Optimize Canal Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4367-4384, September.

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