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Optimal Allocation of Farm Irrigation Water during Peak Seasons

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  • Dan Yaron
  • Ariel Dinar

Abstract

The paper presents a system analysis approach to the allocation of scarce water during peak seasons to alternative crops and plots, using soil moisture response functions for the key crops. The system contains a linear programming model intended to maximize the farm's income and a dynamic programming model, which generates new irrigation scheduling activities in response to the shadow prices of water given by linear programming solutions. The "generalized Wolfe" LP algorithm is applied. An application to a cotton farm is presented.

Suggested Citation

  • Dan Yaron & Ariel Dinar, 1982. "Optimal Allocation of Farm Irrigation Water during Peak Seasons," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(4), pages 681-689.
    • Handle: RePEc:oup:ajagec:v:64:y:1982:i:4:p:681-689.
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    File URL: http://hdl.handle.net/10.2307/1240577
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    1. Ajay Singh, 2014. "Irrigation Planning and Management Through Optimization Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 1-14, January.
    2. Timothy J. Lowe & Paul V. Preckel, 2004. "Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 201-208.
    3. Uri Shani & Yacov Tsur & Amos Zemel & David Zilberman, 2009. "Irrigation production functions with water‐capital substitution," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 55-66, January.
    4. Laxmi Sethi & D. Kumar & Sudhindra Panda & Bimal Mal, 2002. "Optimal Crop Planning and Conjunctive Use of Water Resources in a Coastal River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(2), pages 145-169, April.
    5. Juárez-Torres, Miriam & Sánchez-Aragón, Leonardo & Vedenov, Dmitry, 2017. "Weather Derivatives and Water Management in Developing Countries: An Application for an Irrigation District in Central Mexico," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2), May.
    6. Sadeh, Arye & Griffin, Wade L., 1997. "Value of feedback in agricultural decisions," Agricultural Systems, Elsevier, vol. 53(2-3), pages 285-301.
    7. Robert, Marion & Thomas, Alban & Bergez, Jacques Eric, 2016. "Processes of adpatation in farm decision-making models. A review," TSE Working Papers 16-731, Toulouse School of Economics (TSE).
    8. Iglesias, Eva & Garrido, Alberto & Gomez-Ramos, Almudena, 2003. "Evaluation of drought management in irrigated areas," Agricultural Economics, Blackwell, vol. 29(2), pages 211-229, October.
    9. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon & Zhang, Abraham, 2018. "Agribusiness supply chain risk management: A review of quantitative decision models," Omega, Elsevier, vol. 79(C), pages 21-42.
    10. Mahnoosh Moghaddasi & Shahab Araghinejad & Saeed Morid, 2013. "Water Management of Irrigation Dams Considering Climate Variation: Case Study of Zayandeh-rud Reservoir, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1651-1660, April.
    11. Lavee, Doron, 2010. "The effect of water supply uncertainty on farmers' choice of crop portfolio," Agricultural Water Management, Elsevier, vol. 97(11), pages 1847-1854, November.
    12. Jones, Randall E. & Crean, Jason & Aluwihare, Parakrama B. & Letcher, Rebecca A., 2007. "Economic cost of environmental flows in an unregulated river system," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(3), pages 1-17.
    13. Featherstone, Allen M. & Osunsan, Adeyinka W. & Biere, Arlo, 1992. "A Risk Analysis of Alternative Crop and Irrigation Strategies Using Biophysical Simulations," 1992 Occasional Paper Series No. 6 197739, International Association of Agricultural Economists.
    14. S. Mahendrarajah & P. G. Warr, 1991. "Water Management And Technological Change: Village Dams In Sri Lanka," Journal of Agricultural Economics, Wiley Blackwell, vol. 42(3), pages 309-324, September.
    15. Reynaud, Arnaud, 2009. "Adaptation à court et à long terme de l'agriculture au risque de sécheresse : une approche par couplage de modèles biophysiques et économiques," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 90(2).
    16. Reeling, Carson J. & Lee, John & Mitchell, Peter & Halimi, Ghulam Hazrat & Carver, Andrew, 2012. "Policy options to enhance agricultural irrigation in Afghanistan: A canal systems approach," Agricultural Systems, Elsevier, vol. 109(C), pages 90-100.
    17. Shami, Uri & Tsur, Yacov, 2002. "Optimal Dynamic Irrigation Schemes," Discussion Papers 15007, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    18. Christine Heumesser & Sabine Fuss & Jana Szolgayová & Franziska Strauss & Erwin Schmid, 2012. "Investment in Irrigation Systems under Precipitation Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3113-3137, September.

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