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Prioritization of surface water distribution in irrigation districts to mitigate crop yield reduction during water scarcity

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  • Avargani, Habib Karimi
  • Hashemy Shahdany, S. Mehdy
  • Kamrani, Kazem
  • Maestre, Jose, M.
  • Hashemi Garmdareh, S. Ebrahim
  • Liaghat, Abdolmajid

Abstract

The vulnerability of conventional operational systems in agricultural water distribution systems becomes controversial under successive water shortages. Accordingly, inadequate, unfair, and unreliable surface water distribution has led to crop yield reduction and economic damage. To address these issues, a novel configuration of an automated operating system was developed to mitigate crop yield reductions during times of water scarcity. Using centralized model predictive control (CMPC), an automatedwater distribution control system was developed in MATLAB version (2018a) and integrated with the Aquacrop model to provide an intelligent daily water distribution prioritization within irrigation districts. This study also investigated technical and environmental perspectives in enriching the resilience of agricultural water distribution systems influenced by the water shortage periods. A controversial irrigation district located in central Iran was selected as the test case located in a basin where reported socio-economic and environmental concerns are among the highest in Iran. Application of the developed configuration of the CMPC led to 4.1%, 5.7%, 5.6%, and 7.3%, increasing the crop yield under the water shortage scenarios of 15%, 20%, 25%, and 30%, respectively. Likewise, employing the intelligent operation led to the economic benefit of 8.5, 11.3, 11.9, and 16.8 M US$ by conserving crop production of 3841.4, 5104.8, 5367.6, and 7543.0 tons, respectively, under the scenarios as mentioned above. The proposed method enables water authorities to promote the surface water distribution system in practical, implementable, and step-by-step planning to increase individual and public profits and environmental achievements by reducing water extraction from tube-wells based on the actual water demand potential.

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  • Avargani, Habib Karimi & Hashemy Shahdany, S. Mehdy & Kamrani, Kazem & Maestre, Jose, M. & Hashemi Garmdareh, S. Ebrahim & Liaghat, Abdolmajid, 2022. "Prioritization of surface water distribution in irrigation districts to mitigate crop yield reduction during water scarcity," Agricultural Water Management, Elsevier, vol. 269(C).
    • Handle: RePEc:eee:agiwat:v:269:y:2022:i:c:s0378377422002001
    DOI: 10.1016/j.agwat.2022.107653
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    References listed on IDEAS

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    1. Han, Congying & Zhang, Baozhong & Chen, He & Liu, Yu & Wei, Zheng, 2020. "Novel approach of upscaling the FAO AquaCrop model into regional scale by using distributed crop parameters derived from remote sensing data," Agricultural Water Management, Elsevier, vol. 240(C).
    2. S. Hashemy Shahdany & J. Maestre & P. van Overloop, 2015. "Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3315-3328, July.
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    9. Sara Azargashb Lord & Seied Mehdy Hashemy Shahdany & Abbas Roozbahani, 2021. "Minimization of Operational and Seepage Losses in Agricultural Water Distribution Systems Using the Ant Colony Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 827-846, February.
    10. Hassani, Yousef & Hashemy Shahdany, Seied Mehdy & Maestre, J.M. & Zahraie, Banafsheh & Ghorbani, Mohammad & Henneberry, Shida Rastegari & Kulshreshtha, Suren N., 2019. "An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing," Agricultural Water Management, Elsevier, vol. 221(C), pages 348-361.
    11. Kamrani, Kazem & Roozbahani, Abbas & Hashemy Shahdany, Seied Mehdy, 2020. "Using Bayesian networks to evaluate how agricultural water distribution systems handle the water-food-energy nexus," Agricultural Water Management, Elsevier, vol. 239(C).
    12. Yaltaghian Khiabani, M. & Hashamy Shahadany, S.M. & Maestre, J.M. & Stepanian, R. & Mallakpour, I., 2020. "Potential assessment of non-automatic and automatic modernization alternatives for the improvement of water distribution supplied by surface-water resources: A case study in Iran," Agricultural Water Management, Elsevier, vol. 230(C).
    13. Jin, Xiuliang & Li, Zhenhai & Feng, Haikuan & Ren, Zhibin & Li, Shaokun, 2020. "Estimation of maize yield by assimilating biomass and canopy cover derived from hyperspectral data into the AquaCrop model," Agricultural Water Management, Elsevier, vol. 227(C).
    14. 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).
    15. Morteza Babaei & Abbas Roozbahani & S. Mehdy Hashemy Shahdany, 2018. "Risk Assessment of Agricultural Water Conveyance and Delivery Systems by Fuzzy Fault Tree Analysis Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 4079-4101, September.
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