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Simulation and evaluation of agricultural water distribution and delivery systems with a Hybrid Bayesian network model

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  • Kaghazchi, Afsaneh
  • Hashemy Shahdany, S. Mehdy
  • Roozbahani, Abbas

Abstract

Regular appraisal performance of the irrigation water distribution systems from the adequacy, equity, and sustainable operation perspectives are essential due to the significant water losses that has been led by the improper adjustments of the hydraulic structures. Appropriate operational strategies could be adapted when the irrigation district authorities have a pragmatic approach to assess the hydraulic behavior of the system. This study develops an intelligent model for i) hydraulic simulation and ii) operational performance evaluation of the agricultural water distribution systems by employing a Hybrid Bayesian Networks (HBNs). The developed model was tested on a real test case located in Iran and under the different operational scenarios. In this regard, firstly, a hydrodynamic model of the test case was developed, calibrated, and validated to simulate the hydraulic condition of the irrigation canal based on a wide range of the canal inflow variations, called operational scenarios. Then, performance assessment was conducted for the scenarios based on adequacy, equity, and efficiency of water distribution perspectives. The results were employed for the training of the HBNs model. The HBNs model configuration was selected based on the irrigation district manages expectations, where the performance indicators of "adequacy," "efficiency" and "equity" of water delivery, needs to be calculated for the canal inflow variations in different operational scenarios. Validation of the developed HBNs model reveals that Mean Absolute Percentage Error (MAPE) and Coefficient of Determination (R2) of the superior model within the entire output nodes are 17.31% and 0.96, respectively. The results indicated the ability of the HBNs Model for the "Simulation/Performance Appraisal" of any operating systems in the irrigation districts. The developed model is a useful tool for i) periodic appraisal performance of the distribution system, ii) operational personals and ditch-riders, and iii) regionalization of the district to facilitate the recurrent inspections and field visiting.

Suggested Citation

  • Kaghazchi, Afsaneh & Hashemy Shahdany, S. Mehdy & Roozbahani, Abbas, 2021. "Simulation and evaluation of agricultural water distribution and delivery systems with a Hybrid Bayesian network model," Agricultural Water Management, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:agiwat:v:245:y:2021:i:c:s0378377420321259
    DOI: 10.1016/j.agwat.2020.106578
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    5. Barkhordari, Soroush & Hashemy Shahdany, Seied Mehdy, 2021. "Developing a smart operating system for fairly distribution of irrigation water, based on social, economic, and environmental considerations," Agricultural Water Management, Elsevier, vol. 250(C).
    6. Hassan, Wasim & Manzoor, Talha & Muhammad, Abubakr, 2023. "Improving equity in demand-driven irrigation systems through a rights-preserving water allocation mechanism," Agricultural Water Management, Elsevier, vol. 287(C).
    7. Atiyeh Bozorgi & Abbas Roozbahani & Seied Mehdy Hashemy Shahdany & Rouzbeh Abbassi, 2021. "Development of Multi-Hazard Risk Assessment Model for Agricultural Water Supply and Distribution Systems Using Bayesian Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3139-3159, August.
    8. Karimi Avargani, Habib & Hashemy Shahdany, S. Mehdy & Hashemi Garmdareh, S. Ebrahim & Liaghat, Abdolmajid & Guan, Guanghua & Behzadi, Farhad & Milan, Sami Ghordoyee & Berndtsson, Ronny, 2023. "Operational loss estimation in irrigation canals by integrating hydraulic simulation and crop growth modeling," Agricultural Water Management, Elsevier, vol. 288(C).
    9. Seyed Mehdi Seyed Hoshiyar & Nader Pirmoradian & Afshin Ashrafzadeh & Atefeh Parvaresh Rizi, 2021. "Performance Assessment of a Water Delivery Canal to Improve Agricultural Water Distribution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2487-2501, June.
    10. Habibeh Sharifi & Abbas Roozbahani & Seied Mehdy Hashemy Shahdany, 2021. "Evaluating the Performance of Agricultural Water Distribution Systems Using FIS, ANN and ANFIS Intelligent Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1797-1816, April.
    11. Chen, Baili & Duan, Quntao & Zhao, Wenzhi & Wang, Lixin & Zhong, Yanxia & Zhuang, Yanli & Chang, Xueli & Dong, Chunyuan & Du, Wentao & Luo, Lihui, 2023. "Oasis sustainability is related to water supply mode," Agricultural Water Management, Elsevier, vol. 290(C).
    12. Jolfan, Mohsen Hosseini & Hashemy Shahdany, S. Mehdy & Javadi, Saman & Milan, Sami Ghordoyee & Neshat, Aminreza & Berndtsson, Ronny & Tork, Hamed, 2023. "Modernization in agricultural water distribution system for aquifer storage and recovery – A case study," Agricultural Water Management, Elsevier, vol. 282(C).
    13. Javad Shafiee Neyestanak & Abbas Roozbahani, 2021. "Comprehensive Risk Assessment of Urban Wastewater Reuse in Water Supply Alternatives Using Hybrid Bayesian Network Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 5049-5072, November.

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