IDEAS home Printed from https://ideas.repec.org/p/ags/uerstb/171000.html
   My bibliography  Save this paper

Determining Consumptive Use and Irrigation Water Requirements

Author

Listed:
  • Blaney, Harry F.
  • Criddle, Wayne D.

Abstract

No abstract is available for this item.

Suggested Citation

  • Blaney, Harry F. & Criddle, Wayne D., 1962. "Determining Consumptive Use and Irrigation Water Requirements," Technical Bulletins 171000, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:171000
    DOI: 10.22004/ag.econ.171000
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/171000/files/tb1275.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.171000?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
    ---><---

    Citations

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


    Cited by:

    1. Ahmed El-Shafie & Ali Najah & Humod Alsulami & Heerbod Jahanbani, 2014. "Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 947-967, March.
    2. Ogg, Clayton W. & Gollehon, Noel R., 1988. "Estimation Of Irrigation Water Demands For Western Climatic Regions," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270404, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Abhinaya Subedi & José Chávez, 2015. "Crop Evapotranspiration (ET) Estimation Models: A Review and Discussion of the Applicability and Limitations of ET Methods," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 7(6), pages 1-50, May.
    4. Wang Xiao-jun & Zhang Jian-yun & Shahid Shamsuddin & He Rui-min & Xia Xing-hui & Mou Xin-li, 2015. "Potential impact of climate change on future water demand in Yulin city, Northwest China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(1), pages 1-19, January.
    5. A. Alamanos & D. Latinopoulos & A. Loukas & N. Mylopoulos, 2020. "Comparing Two Hydro-Economic Approaches for Multi-Objective Agricultural Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4511-4526, November.
    6. Yang, Yang & Cui, Yuanlai & Luo, Yufeng & Lyu, Xinwei & Traore, Seydou & Khan, Shahbaz & Wang, Weiguang, 2016. "Short-term forecasting of daily reference evapotranspiration using the Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 177(C), pages 329-339.
    7. Moore, Michael R. & Negri, Donald H., 1992. "A Multicrop Production Model Of Irrigated Agriculture, Applied To Water Allocation Policy Of The Bureau Of Reclamation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-15, July.
    8. Kuşçu, Hayrettin & Turhan, Ahmet & Demir, Ali Osman, 2014. "The response of processing tomato to deficit irrigation at various phenological stages in a sub-humid environment," Agricultural Water Management, Elsevier, vol. 133(C), pages 92-103.
    9. DehghaniSanij, Hossein & Yamamoto, Tahei & Rasiah, Velu, 2004. "Assessment of evapotranspiration estimation models for use in semi-arid environments," Agricultural Water Management, Elsevier, vol. 64(2), pages 91-106, January.
    10. Adiku, Samuel G.K. & MacCarthy, Dilys S. & Kumahor, Samuel K., 2021. "A conceptual modelling framework for simulating the impact of soil degradation on maize yield in data-sparse regions of the tropics," Ecological Modelling, Elsevier, vol. 448(C).
    11. Panagiotis Christias & Ioannis N. Daliakopoulos & Thrassyvoulos Manios & Mariana Mocanu, 2020. "Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support," Mathematics, MDPI, vol. 8(5), pages 1-26, May.
    12. Chen, Mengting & Cui, Yuanlai & Wang, Xiaonan & Xie, Hengwang & Liu, Fangping & Luo, Tongyuan & Zheng, Shizong & Luo, Yufeng, 2021. "A reinforcement learning approach to irrigation decision-making for rice using weather forecasts," Agricultural Water Management, Elsevier, vol. 250(C).
    13. Zhang, Lei & Zhao, Xin & Zhu, Ge & He, Jun & Chen, Jian & Chen, Zhicheng & Traore, Seydou & Liu, Junguo & Singh, Vijay P., 2023. "Short-term daily reference evapotranspiration forecasting using temperature-based deep learning models in different climate zones in China," Agricultural Water Management, Elsevier, vol. 289(C).
    14. Seydou Traore & Yufeng Luo & Guy Fipps, 2017. "Gene-Expression Programming for Short-Term Forecasting of Daily Reference Evapotranspiration Using Public Weather Forecast Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4891-4908, December.
    15. Jenson, Earl Angus, 1971. "Programming models of irrigation development," ISU General Staff Papers 197101010800005888, Iowa State University, Department of Economics.
    16. Osama Mohawesh, 2010. "Spatio-temporal Calibration of Blaney–Criddle Equation in Arid and Semiarid Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2187-2201, August.
    17. Mohamed A. Mattar & A. A. Alazba & Bander Alblewi & Bahram Gharabaghi & Mohamed A. Yassin, 2016. "Evaluating and Calibrating Reference Evapotranspiration Models Using Water Balance under Hyper-Arid Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3745-3767, September.
    18. A. S. Giannikopoulou & F. K. Gad & E. Kampragou & D. Assimacopoulos, 2017. "Risk-Based Assessment of Drought Mitigation Options: the Case of Syros Island, Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(2), pages 655-669, January.
    19. Ali Rahimikhoob & Mohsen Hosseinzadeh, 2014. "Assessment of Blaney-Criddle Equation for Calculating Reference Evapotranspiration with NOAA/AVHRR Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3365-3375, August.
    20. Moore, Michael R. & Negri, Donald H., 1990. "The Bureau of Reclamation, Water, and Agriculture: Irrigation Water Conservation in the American West," 1990 Annual meeting, August 5-8, Vancouver, Canada 271012, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Mahmoud, El-Sayed A. & Hassanin, Mahmoud A. & Borham, Taha I. & Emara, Eman I.R., 2018. "Tolerance of some sugar beet varieties to water stress," Agricultural Water Management, Elsevier, vol. 201(C), pages 144-151.
    22. Yang, Yang & Luo, Yufeng & Wu, Conglin & Zheng, Hezhen & Zhang, Lei & Cui, Yuanlai & Sun, Ningning & Wang, Li, 2019. "Evaluation of six equations for daily reference evapotranspiration estimating using public weather forecast message for different climate regions across China," Agricultural Water Management, Elsevier, vol. 222(C), pages 386-399.

    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:ags:uerstb:171000. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    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.