Water Distribution Management in Irrigation and Drainage Networks, Using Geospatial Information Systems, Ant Colony Optimization and Travelling Salesman Problem Approach

Document Type : Research Article

Authors

1 Postgraduate Student, Faculty of Civil Engineering, Shahid Beheshti University, Tehran, Iran

2 Associate Professor, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University. Tehran. Iran

Abstract

Population increase, excessive consumption, agriculture development and climate change have caused a severe decrease in water sources. This dilemma is more tangible in developing countries such as Iran. Therefore it is necessary to adopt important policies in order to improve water management and decrease the water loss. The aim of this research is helping to improve the management of water distribution in irrigation and drainage network in GharaZia-addin city using Spatial Information Systems and Ant Colony Optimization. In this paper, the optimum area for each crop was calculated by designing an objective function and applying constraints such as minimum and maximum plant area for each crop. Then these areas were prioritized by Ant Colony Optimization method and particularly by the travelling salesman problem’s approach in a way that the crops with higher irrigation water demands and more irrigation periods to be planted in the beginning of the network channel. The aim of prioritization is to prevent the water loss during the transportation of water in the water network system. At the end, the obtained areas were used as the input data into GIS to analyze and evaluate the results on the case study field. The results of the study show that by applying Ant Colony Optimization method and the Travelling Salesman Problem, it is possible to improve water management in irrigation and drainage networks. In addition to prevention of water loss in the pipes, the net profit of the agricultural activities has increased 10% by using the method mentioned above

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Main Subjects

References

  • Abbasi, F, Sohrab F. Evaluation of Irrigation Efficiencies in Iran. Irrigation and Drainage Structures Engineering‏ 2017;17 (67):113 - 128. [Persian].
  • Davari K, Salarian M. Basics of Irrigation and Drainage Management. 1st ed, Mashhad University: Publication of University Jihad; 2014 [Persian].
  • Biniaz A, Ahmadpour Borazjani M, Ziaei S, Mohammadi H. The Impact of Agricultural Water Pricing on Sustainability of Its Resources. Eco Hydrology. 2020; 7(1): 195- 207 [Persian].
  • Mostofi N, Saberian J. Using GIS for Optimization the Irrigation Program from Repository Dams. Geospatial Engineering Journal. 2016; 7 (3): 117-125 [Persian].
  • Mahmoudi Jam S, Ghoreyshi Najaf Abadi H, Vafaeinejad A, Moridi A, Khazaee S. Potential Evaluation of Underground Water Resource with the Hybrid Approach to Particle Swarm Optimization Algorithm and Geospatial Information Systems. 2017; 4(4): 1199-1213. [Persian].
  • Goodarzi Z, Vafaeinejad A. Using Shuffled Frog-Leaping Algorithm (SFLA) And Geospatial Information System (GIS) To Help Optimally Operation of The Dam Reservoir. Eco Hydrology. 2019; 6(4): 983-991. [Persian].
  • Karamouz M, Krachian R. Planning and Management of Water Resources Systems. 7th Tehran: Publication of Amirkabir University. 2018. [Persian].
  • Rajabi M, Mansourian A, Talei M, Alimohammadi A. A New Innovative Method for Solving Traveling Salesman Problem. Remote Sensing and GIS. 2013; 4(4): 1-20. [Persian].
  • Kosari M,Ekhtesasi M,Malekinejad H. Investigation of Long Term Drought Trend in Semi-arid, Arid and Hyper-arid regions of the World. Desert Management. 2017; 4 (8): 36 - 53. [Persian].
  • Masoumi F, Salimi N, Zafari N. Evaluation of Grasshopper Optimization Algorithm for Optimal Operation of Surface Water Reservoirs with Reliability Constraints. Iranian Journal of Irrigation and Drainage. 2020; 14(2): 579 - 592. [Persian].
  • Kord M, Asghari A, Nakhaei M. Numerical Modeling of the Ardabil Plain Aquifer and its Management Using Optimization of Groundwater Extraction. 2019; 4(1): 153-167. [Persian]
  • Javan Salehi M, Zarghami M, Keighobadi J. Utilization of Model Predictive Control to Improve Optimization – Simulation Models for Managing Water Transfer Systems: Case Study of Zarinehrood Water Transfer Line to Tabriz. Water Resources Research. 2019; 15(4):18-34. [Persian]
  • Naghdi S, Haddad O, Khorsandi M , Chu X. Multi-objective optimization for allocation of surface water and ground water resources. Science of the Total Environment. 2021; 776(1): 1-12.
  • Cong D, Ascough J, Mayer H, Dandy, G, Andales A. Optimization of irrigation scheduling using ant colony algorithms and an advanced cropping system model. Environmental modeling & system. 2017; 97(3): 32-45.
  • Dehghanipour A , Schoups G, Zahabiyoun B, Babazadeh H. Meeting Agricultural and Environmental Water Demand in Endorheic Irrigated River Basins: A Simulation-Optimization Approach Applied to the Urmia Lake Basin in Iran. Agricultural Water Management. 2020; 241(1): 1-15.
  • Jiang Y, Xiong L, Yao F, Xu Z. Optimizing regional irrigation water allocation for multi-stage pumping-water irrigation system based on multi-level optimization-coordination model. Journal of Hydrology. 2019; 4(1): 1-66.
  • Vafaeinejad A. Cropping Pattern Optimization by Using of TOPSIS and Genetic Algorithm Based on the Capabilities of GIS. Eco Hydrology. 2016; 3(1): 69-82. [Persian].
  • Yousefzadeh J, Yousofi H, Mohammadi Varzaneh N, Vafaeinejad A. Using GIS and Linear Programming to Manage Water Distribution in Irrigation Networks and Cropping Pattern Allocation. Eco Hydrology. 2014;1 (2): 123-132. [Persian].
  • Mohamadi Varzaneh N, Vafaeinejad A. Water Allocation in Irrigation Networks by using of Decision Support System Based on the Geospatial Information System (GIS) and Particle Swarm Optimization (PSO). Eco Hydrology. 2015; 2(1): 39-49. [Persian].
Iranian journal of Ecohydrology
Volume 8, Issue 4
January 2022
Pages 941-952

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History

  • Receive Date: 02 May 2021
  • Revise Date: 09 November 2021
  • Accept Date: 09 November 2021
  • First Publish Date: 09 November 2021
  • Publish Date: 22 December 2021

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