IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v36y2022i11d10.1007_s11269-022-03241-x.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-022-03241-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-022-03241-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. 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).
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Yang & Wang, Lu & Tong, Ling & Hao, Xinmei & Wu, Xuanyi & Ding, Risheng & Kang, Shaozhong & Li, Sien, 2023. "Effects of biochar addition and deficit irrigation with brackish water on yield-scaled N2O emissions under drip irrigation with mulching," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Sabzchi-Dehkharghani, Hamed & Nazemi, Amir Hossein & Sadraddini, Ali Ashraf & Majnooni-Heris, Abolfazl & Biswas, Asim, 2021. "Recognition of different yield potentials among rain-fed wheat fields before harvest using remote sensing," Agricultural Water Management, Elsevier, vol. 245(C).
    3. Changchun Xu & Xicheng Zhang & Jinxia Zhang & Yapeng Chen & Teshome L. Yami & Yang Hong, 2021. "Estimation of Crop Water Requirement Based on Planting Structure Extraction from Multi-Temporal MODIS EVI," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2231-2247, May.
    4. de Oliveira Costa, Jéfferson & José, Jefferson Vieira & Wolff, Wagner & de Oliveira, Niclene Ponce Rodrigues & Oliveira, Rafaella Conceição & Ribeiro, Nathália Lopes & Coelho, Rubens Duarte & da Silva, 2020. "Spatial variability quantification of maize water consumption based on Google EEflux tool," Agricultural Water Management, Elsevier, vol. 232(C).
    5. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Xiang, Youzhen & Liu, Xiaoqiang & Liao, Zhenqi & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun, 2022. "Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies," Agricultural Water Management, Elsevier, vol. 274(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:36:y:2022:i:11:d:10.1007_s11269-022-03241-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.