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Diagnostic Analysis of Spatial and Temporal Variations in Crop Water Productivity: a Regional Scale Analysis of the Rain Fed Wheat

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  • Nazarifar, M.H.
  • Kanani, M. H.
  • Momeni, R.

Abstract

Water productivity is a suitable indicator in water potential analysis at a location in a region. In this study, changes in water use productivity are studied in spatial and temporal scale simultaneously. To evaluate temporal changes in water productivity in Hamadan region (Iran), Standard Precipitation Index (SPI) was analyzed and evaluated for drought, wet and normal conditions. To estimate regional water productivity, GIS and Kassam methods were coupled to estimate the Potential yield of rain-fed wheat in a developed rasterized grid network with 30×30 -km resolution. Results of this study indicate that the amount of water productivity in drought condition in comparison with the other two conditions was higher and from geographical point of view the southern parts of the region have higher potential production with compare to other locations of the province. The analysis shows the variation in amount of active radiation received by the earth surface is causing these differences.

Suggested Citation

  • Nazarifar, M.H. & Kanani, M. H. & Momeni, R., 2012. "Diagnostic Analysis of Spatial and Temporal Variations in Crop Water Productivity: a Regional Scale Analysis of the Rain Fed Wheat," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 4(4), pages 1-9, December.
    • Handle: RePEc:ags:aolpei:146266
    DOI: 10.22004/ag.econ.146266
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    References listed on IDEAS

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    1. Oweis, T. Y. & Hachum, A. Y., 2003. "Improving water productivity in the dry areas of West Asia and North Africa," IWMI Books, Reports H032642, International Water Management Institute.
    2. Ines, Amor V. M. & Gupta, Ashim Das & Loof, Rainer, 2002. "Application of GIS and crop growth models in estimating water productivity," Agricultural Water Management, Elsevier, vol. 54(3), pages 205-225, April.
    3. Heinemann, A. B. & Hoogenboom, G. & de Faria, R. T., 2002. "Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil," Agricultural Water Management, Elsevier, vol. 52(3), pages 177-196, January.
    4. Kijne, Jacob W. & Barker, Randolph & Molden, David J. (ed.), 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, International Water Management Institute, number 138054.
    5. Kijne, J. W. & Barker, R. & Molden. D., 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, Reports H032631, International Water Management Institute.
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    Cited by:

    1. Papagera, A. & Ioannou, K. & Zaimes, G. & Iakovoglou, V. & Simeonidou, M., 2014. "Simulation and Prediction of Water Allocation Using Artificial Neural Networks and a Spatially Distributed Hydrological Model," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(4), pages 1-11, December.

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