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Optimization of Applied Water Depth Under Water Limiting Conditions

Author

Listed:
  • Mohammad Ismaeil Kamali

    (Ferdowsi University of Mashhad)

  • Hossein Ansari

    (Ferdowsi University of Mashhad)

  • Rouzbeh Nazari

    (University of Alabama at Birmingham (UAB)
    University of Alabama at Birmingham (UAB)
    University of Alabama at Birmingham (UAB))

Abstract

Water productivity is a major challenge in all agricultural regions and despite water shortages, farmers do not welcome water management strategies due to a lack of knowledge of possible economic consequences. This study aimed to introduce the optimum applied water depths under limiting conditions through mathematical optimization. The effects of optimization were coupled with irrigation scheduling to assess yield, water productivity, and net income. Production and cost functions were created based on two scenarios for the applied water. According to the results, the best applied water depth under water limiting conditions depends on land limiting conditions and how severe water limitation is. In mild to moderate water limiting conditions, by using the optimum applied water depth (Ww), water can be saved by 26% causing a 3 to 4% decrease in the net income per unit of land and a 16% increase in the net income per unit of water. As water supply is severely limited, using the equivalent optimum applied water depth (Wew) results in the highest productivity. Although using Wew causes a 14 to 17% decrease in the net income per unit of land, it saves water by 46%. In water limiting conditions, if the land is not limited, using Wew causes the maximum net income per unit of land. A sensitivity analysis was conducted for the net income and the optimum applied water depths, as well. Furthermore, irrigation scheduling caused a 27% increase in the net income per unit of land. Overall, using optimum applied water depths and irrigation scheduling are highly recommended for addressing water scarcity.

Suggested Citation

  • Mohammad Ismaeil Kamali & Hossein Ansari & Rouzbeh Nazari, 2022. "Optimization of Applied Water Depth Under Water Limiting Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4081-4098, September.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:11:d:10.1007_s11269-022-03241-x
    DOI: 10.1007/s11269-022-03241-x
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    References listed on IDEAS

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    1. Wu, Wanping & Liu, Minguo & Wu, Xiaojuan & Wang, Zikui & Yang, Huimin, 2022. "Effects of deficit irrigation on nitrogen uptake and soil mineral nitrogen in alfalfa grasslands of the inland arid area of China," Agricultural Water Management, Elsevier, vol. 269(C).
    2. Zamani, Omid & Azadi, Hossein & Mortazavi, Seyed Abolghasem & Balali, Hamid & Moghaddam, Saghi Movahhed & Jurik, Lubos, 2021. "The impact of water-pricing policies on water productivity: Evidence of agriculture sector in Iran," Agricultural Water Management, Elsevier, vol. 245(C).
    3. Kamali, Mohammad Ismaeil & Nazari, Rouzbeh, 2018. "Determination of maize water requirement using remote sensing data and SEBAL algorithm," Agricultural Water Management, Elsevier, vol. 209(C), pages 197-205.
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    Cited by:

    1. Bennie Grové & Johannes Jacobus Bezuidenhout & Nicolette Matthews, 2023. "Farm-level Hydroeconomic Analysis of Alternative Water Tariff Charges Using a Hybrid Solution Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4679-4692, September.

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