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Water Resources Sustainability and Optimal Cropping Pattern in Farming Systems; A Multi-Objective Fractional Goal Programming Approach

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  • Abbas Amini Fasakhodi
  • Seyed Nouri
  • Manouchehr Amini

Abstract

Water resources sustainability has the main contribution to the existence and durability of the farming systems and strongly depends on the cropping pattern practices. A comprehensive cropping pattern planning takes in to account the high level of interrelation of the environmental, economic and social aspects of farming systems. In order to assess the sustainability of water resources and determine an optimal pattern of cropping in a rural farming system, this paper introduces two ratios of “net return/water consumption” and “labor employment/water consumption” and attempts to simultaneously optimize them as the sustainability indicators. To this purpose, a multi-objective fractional goal programming (MOFGP) procedure is considered as the main approach of the study to be accomplished by several other single and multi-objective linear and fractional programming models. The results show that the FP models are more significant to contribute in assessing the sustainability indicators compared to the LP models, and the MOFGP solution is considered better, compared to the single objective FP solutions. The results will be illustrated quantitatively. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Abbas Amini Fasakhodi & Seyed Nouri & Manouchehr Amini, 2010. "Water Resources Sustainability and Optimal Cropping Pattern in Farming Systems; A Multi-Objective Fractional Goal Programming Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4639-4657, December.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:15:p:4639-4657
    DOI: 10.1007/s11269-010-9683-z
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    4. Hossein Mikhak & Mehdi Rahimian & Saeed Gholamrezai, 2022. "Implications of changing cropping pattern to low water demand plants due to climate change: evidence from Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 9833-9850, August.
    5. Hassanli, Mohammad & Ebrahimian, Hamed & Mohammadi, Ehsan & Rahimi, Amirreza & Shokouhi, Amirhossein, 2016. "Simulating maize yields when irrigating with saline water, using the AquaCrop, SALTMED, and SWAP models," Agricultural Water Management, Elsevier, vol. 176(C), pages 91-99.
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    8. Li, Mo & Guo, Ping & Singh, Vijay P. & Yang, Gaiqiang, 2016. "An uncertainty-based framework for agricultural water-land resources allocation and risk evaluation," Agricultural Water Management, Elsevier, vol. 177(C), pages 10-23.
    9. Safavi, Hamid R. & Enteshari, Sajad, 2016. "Conjunctive use of surface and ground water resources using the ant system optimization," Agricultural Water Management, Elsevier, vol. 173(C), pages 23-34.
    10. U. Behera & P. Panigrahi & A. Sarangi, 2012. "Multiple Water Use Protocols in Integrated Farming System for Enhancing Productivity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2605-2623, July.
    11. Feng Guo & Liguo Jiao, 2023. "A new scheme for approximating the weakly efficient solution set of vector rational optimization problems," Journal of Global Optimization, Springer, vol. 86(4), pages 905-930, August.
    12. Heidari, Mohammad Davoud & Turner, Ian & Ardestani-Jaafari, Amir & Pelletier, Nathan, 2021. "Operations research for environmental assessment of crop-livestock production systems," Agricultural Systems, Elsevier, vol. 193(C).
    13. Nikouei, Alireza & Asgharipour, Mohammad Reza & Marzban, Zahra, 2022. "Modeling land allocation to produce crops under economic and environmental goals in Iran: a multi-objective programming approach," Ecological Modelling, Elsevier, vol. 471(C).
    14. Li, Mo & Guo, Ping & Singh, Vijay P., 2016. "An efficient irrigation water allocation model under uncertainty," Agricultural Systems, Elsevier, vol. 144(C), pages 46-57.
    15. Fan, Yunfei & He, Liuyue & Liu, Yi & Wang, Sufen, 2022. "Optimal cropping patterns can be conducive to sustainable irrigation: Evidence from the drylands of Northwest China," Agricultural Water Management, Elsevier, vol. 274(C).
    16. Mehri Raei & Javad Hossienzad & Mohammad Ali Ghorbani, 2023. "An Uncertainty-Based Random Boundary Interval Multi-Stage Stochastic Programming for Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4571-4587, September.
    17. S. Dutta & B.C. Sahoo & Rajashree Mishra & S. Acharya, 2016. "Fuzzy Stochastic Genetic Algorithm for Obtaining Optimum Crops Pattern and Water Balance in a Farm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4097-4123, September.

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