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GIS – based multicriteria decision analysis for the delimitation of an agricultural perimeter irrigated with treated wastewater

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  • Neji, Hella Ben Brahim
  • Turki, Sami Yassine

Abstract

Treated wastewater resource is underexploited in Cebala’s Irrigated scheme (Northern Tunisia) and farmers are reluctant to reuse it. The delimitation of the irrigated area will help enhance the global economic profitability of the perimeter not only by reducing the operation and maintenance costs but also by optimizing the reuse activity according to the farmers’ demands, their aspirations and aims. Thus, the aim of this paper is to consider reducing the surface of the irrigated area, keeping only the parcels where the resource is highly demanded. A spatial data analysis using a multicriteria decision technique (compromise programming—CP) and a geographical information system was carried out to choose the best scenario. To this end, five zones where breeding activity is well developed and the non-conventional resource highly demanded were identified as the closest delimitations to the ideal solution.

Suggested Citation

  • Neji, Hella Ben Brahim & Turki, Sami Yassine, 2015. "GIS – based multicriteria decision analysis for the delimitation of an agricultural perimeter irrigated with treated wastewater," Agricultural Water Management, Elsevier, vol. 162(C), pages 78-86.
  • Handle: RePEc:eee:agiwat:v:162:y:2015:i:c:p:78-86
    DOI: 10.1016/j.agwat.2015.08.020
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    References listed on IDEAS

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    1. Ben Brahim-Neji, Hella & Ruiz-Villaverde, Alberto & González-Gómez, Francisco, 2014. "Decision aid supports for evaluating agricultural water reuse practices in Tunisia: The Cebala perimeter," Agricultural Water Management, Elsevier, vol. 143(C), pages 113-121.
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    4. Various, 1973. "Conference Programs," NBER Chapters, in: The New Realities of the Business Cycle, pages 126-131, National Bureau of Economic Research, Inc.
    5. Uyan, Mevlut, 2013. "GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 11-17.
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    1. 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.
    2. Paul, Manashi & Negahban-Azar, Masoud & Shirmohammadi, Adel & Montas, Hubert, 2020. "Assessment of agricultural land suitability for irrigation with reclaimed water using geospatial multi-criteria decision analysis," Agricultural Water Management, Elsevier, vol. 231(C).
    3. Zolfaghary, Parvin & Zakerinia, Mahdi & Kazemi, Hossein, 2021. "A model for the use of urban treated wastewater in agriculture using multiple criteria decision making (MCDM) and geographic information system (GIS)," Agricultural Water Management, Elsevier, vol. 243(C).

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