Spatio-Temporal Analysis of the Operator-Centered Manual Operational System in Surface Water Distribution under Water Supply Shortage: A Case Study of the NekooAbad Irrigation District, Isfahan

Document Type : Research Article

Authors

Department of Water Engineering, Faculty of Agricultural Technology (Aburaihan), University College of Agriculture & Natural Resources, University of Tehran, Iran

Abstract

The research conducted was aimed at developing a comprehensive method to evaluate the technical performance of an operator-centered Operation. The study was conducted under different water supply shortage conditions. The NekooAbad irrigation District was selected for simulation purposes using the Integral-Delay model to simulate flow distribution in the canals. The boundary conditions were based on historical statistics of surface water supply at the source. Seven scenarios were created, ranging from normal to severe water shortage. The technical assessment was based on two aspects: temporal analysis of the daily average water distribution adequacy in 13 main and 149 secondary off-takes. The second aspect included spatial analysis of the distribution of the mentioned index throughout the district. The study classified water distribution adequacy under each scenario. The results showed a pattern of reduced water distribution adequacy from the source to the downstream in all 13 secondary and the main canal. The daily average of the surface water distribution adequacy index ranged from over 10% in the normal scenario to less than 40% in the water scarcity scenarios. The percentage changes ranged from -95% to 64%, 90% to 56%, 89% to 54%, 89% to 50%, 86% to 49%, 86% to 46%, and 33% to 77%. The study also revealed a clear pattern of the operational system's inefficiency in the adequate distribution of surface water under water scarcity scenarios. Furthermore, it identified the vulnerable areas of the district through spatial regionalization maps of water distribution adequacy.

Keywords

Main Subjects

References

[1]. Eftekhari SH, Monem MJ. Determination Irrigation Canal Capacity and Achievable Flexibility for Arranged Delivery. Water and Irrigation Management. 2023 Sep 23;13(3):801-16. [Persian]
[2]. Orojloo M, Shahdany SM, Roozbahani A. Developing an integrated risk management framework for agricultural water conveyance and distribution systems within fuzzy decision making approaches. Science of the Total Environment. 2018 Jun 15;627:1363-76.
[3]. Bozorgi A, Roozbahani A, Hashemy Shahdany SM, Abbassi R. Development of multi-hazard risk assessment model for agricultural water supply and distribution systems using bayesian network. Water Resources Management. 2021 Aug;35(10):3139-59.
[4]. Ministry of Energy, Iran Water Resources Management CO. Deputy of Research, Office of Standard and Technical Criteria. General Design Criteria of Irrigation and Drainage System (Bulletin 281). Iranian Management and Planning Organization, 1994. Publication No.107, Tehran, Iran
[5]. Ostovari S, Monem MJ. Management and performance improvement of irrigation canals in water‐scarce conditions considering hydraulic drawbacks: A case study for the Eastern Aghili secondary canal, Iran. Irrigation and Drainage. 2022 Dec;71(5):1294-303.
[6]. Shahverdi K, Mollazeiynali H, Marofi M. Design of Operation Strategy for Canal Structures. Journal of Hydraulics. 2023 Dec 22;18(4).
 [7]. Fipps G. Potential water savings in irrigated agriculture for the Rio grande planning region (Region M). Texas Water Resources Institute. 2005.
[8]. Akkuzu E, Ünal HB, Karataş BS. Determination of water conveyance losses in the Menemen open canal irrigation network. Turkish Journal of Agriculture and Forestry. 2014;31(1):11-22.
[9]. Kedir Y. estimation of conveyance losses of Wonji-Shoa Sugar Cane Irrigation Scheme in Ethiopia. Journal of Environment and Earth Science. 2015;5(17):2224-3216.
[10]. Jadhav PB, Thokal RT, Mane MS, Bhange HN, Kale SR. improving conveyance efficiency through canal lining in command area: A Case Study. International Journal of Engineering Innovation & Research. 2014;3(6):820-826.
[11]. Karimi Avargani H, Hashemy Shahdany SM, Hashemi Garmdareh SE, Liaghat A. determination of water losses through the agricultural water conveyance, distribution, and delivery system, Case study of Roodasht Irrigation District, Isfahan. Water and Irrigation Management. 2020;10(1):143-156. [Persian]
[12]. Serra P, Salvati L, Queralt E, Pin C, Gonzalez O, Pons X. estimating water consumption and irrigation requirements in a Long‐Established Mediterranean Rural Community by remote sensing and field data. Irrigation and Drainage. 2016;65(5):578-88.
[13]. Shahrokhnia MA, Olyan Ghiasi A. methods of seepage estimation in canals and evaluation of seepage and distribution efficiency in Doroodzan irrigation system. Journal of Water Management in Agriculture. 2018;4(2):27-36. [Persian]
[14]. Kaghazchi A, Shahdany SM, Roozbahani A. Simulation and evaluation of agricultural water distribution and delivery systems with a Hybrid Bayesian network model. Agricultural Water Management; 2021; 28(8):106578.
[15]. Ghumman AR, Ahmad S, Rahman S, Khan Z. Investigating management of irrigation water in the upstream control system of the upper swat canal. Iranian Journal of Science and Technology, Transactions of Civil Engineering; 2018; 42(1):153-64.
[16]. Dejen ZA. Hydraulic and operational performance of irrigation schemes in view of water saving and sustainability: sugar estates and community managed schemes In Ethiopia. Wageningen University and Research; 2015.
[17]. Soler, J., Gamazo, P., Rodellar, J., and Gómez, M. Operation of an irrigation canal by means of the passive canal control. Irrigation science; 2018; 33(2): 95-106
[18]. Shahverdi K, Maestre JM. Holistic Framework for Canal Modernization: Operation Optimization, and Economic and Environmental Analyses. Water Resources Management. 2023; 30(1):1-20.
[19]. Marashi A, Kouchakzadeh S, Yonesi HA. Rotary gate discharge determination for inclusive data from free to submerged flow conditions using ENN, ENN–GA, and SVM–SA. Journal of Hydroinformatics. 2023; 25(4): 1312–1328.
[20]. Akbari, M. Soil Water Balance and Crop Yield of Winter Wheat Using AquaCrop Simulation Model. Journal of Agricultural Engineering Research. 2012; 12(4):19-34.
 [21]. Van Overloop PJ, Negenborn RR., De Schutter B, Van De Giesen NC. Predictive control for national water flow optimization in the Netherlands. Intelligent Infrastructures. 2010; 42(4):439-461.
[22]. Schuurmans J, Schuurmans W, Berger H, Meulenberg M, Brouwer R. Control of water levels in the Meuse river. Journal of Irrigation and Drainage Engineering. 1997;123(3):180-184.
[23]. Isapoor S, Montazer A, Van Overloop PJ, Van De Giesen N. Designing and evaluating control systems of the Dez main canal. Irrig. Drain. 2011;60(1):70-79.
[24]. Molden DJ, Gates TK. Performance measures for evaluation of irrigation-water-delivery systems. Journal of Irrigation and Drainage Engineering.1990;116(6):804-823.
[25]. Daneshfaraz R, Norouzi R, Abbaszadeh H, Azamathulla HM. Theoretical and experimental analysis of applicability of sill with different widths on the gate discharge coefficients. Water Supply. 2022; 22(10):7767-81.
[26]. Hassanzadeh, Yousef, and Hamidreza Abbaszadeh. Investigating Discharge Coefficient of Slide Gate-Sill Combination Using Expert Soft Computing Models. Journal of Hydraulic Structures. 2023; 9(1): 63-80.
Iranian journal of Ecohydrology
Volume 10, Issue 4
January 2024
Pages 493-510

Files

History

  • Receive Date: 03 October 2023
  • Revise Date: 02 November 2023
  • Accept Date: 02 December 2023
  • First Publish Date: 13 February 2024
  • Publish Date: 15 March 2024

Share

How to cite

Statistics