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A GIS-based decision tool for reducing salinization risks in olive orchards

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  • Manuel Peragón, Juan
  • Delgado, Antonio
  • Antonio Rodríguez Díaz, Juan
  • Pérez-Latorre, Francisco J.

Abstract

This work was aimed at implementing a GIS based on an open-source software able to help in decision making in irrigation water management with a view of avoiding the excessive accumulation of salts in soils for olive tree production in South Spain (province of Jaen). The proposed model provides graphical and geostatistical analysis that can be easily performed by using different mathematical algorithms available in the gvSIG software. Leaching and mixing of water from different origin were taken into account in the model as strategies to decrease salinization risk in soil.

Suggested Citation

  • Manuel Peragón, Juan & Delgado, Antonio & Antonio Rodríguez Díaz, Juan & Pérez-Latorre, Francisco J., 2016. "A GIS-based decision tool for reducing salinization risks in olive orchards," Agricultural Water Management, Elsevier, vol. 166(C), pages 33-41.
    • Handle: RePEc:eee:agiwat:v:166:y:2016:i:c:p:33-41
    DOI: 10.1016/j.agwat.2015.12.005
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    References listed on IDEAS

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    1. Mirlas, V., 2012. "Assessing soil salinity hazard in cultivated areas using MODFLOW model and GIS tools: A case study from the Jezre’el Valley, Israel," Agricultural Water Management, Elsevier, vol. 109(C), pages 144-154.
    2. Qureshi, Asad Sarwar & Turral, Hugh & Masih, Ilyas, 2004. "Strategies for the management of conjunctive use of surface water and groundwater resources in semi-arid areas: a case study from Pakistan," IWMI Research Reports H036138, International Water Management Institute.
    3. Peragón, Juan Manuel & Delgado, Antonio & Pérez-Latorre, Francisco J., 2015. "A GIS-based quality assessment model for olive tree irrigation water in southern Spain," Agricultural Water Management, Elsevier, vol. 148(C), pages 232-240.
    4. Corwin, Dennis L. & Rhoades, James D. & Simunek, Jirka, 2007. "Leaching requirement for soil salinity control: Steady-state versus transient models," Agricultural Water Management, Elsevier, vol. 90(3), pages 165-180, June.
    5. Skaggs, T.H. & Suarez, D.L. & Goldberg, S. & Shouse, P.J., 2012. "Replicated lysimeter measurements of tracer transport in clayey soils: Effects of irrigation water salinity," Agricultural Water Management, Elsevier, vol. 110(C), pages 84-93.
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    Cited by:

    1. Peragón, J.M. & Pérez-Latorre, F.J. & Delgado, A., 2017. "A GIS-based tool for integrated management of clogging risk and nitrogen fertilization in drip irrigation," Agricultural Water Management, Elsevier, vol. 184(C), pages 86-95.
    2. Peragón, Juan M. & Pérez-Latorre, Francisco J. & Delgado, Antonio & Tóth, Tibor, 2018. "Best management irrigation practices assessed by a GIS-based decision tool for reducing salinization risks in olive orchards," Agricultural Water Management, Elsevier, vol. 202(C), pages 33-41.
    3. Singh, Ajay, 2016. "Managing the water resources problems of irrigated agriculture through geospatial techniques: An overview," Agricultural Water Management, Elsevier, vol. 174(C), pages 2-10.

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