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A GIS-based susceptibility indexing method for irrigation and drinking water management planning: Application to Chebba-Mellouleche Aquifer, Tunisia

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  • Saidi, Salwa
  • Bouri, Salem
  • Ben Dhia, Hamed
  • Anselme, Brice

Abstract

Locating high quality groundwater resources in semi-arid regions with growing population and agricultural development is an expensive undertaking. Simple susceptibility indexing method, based on vulnerability and quality index, can be used to facilitate this application. The GIS technique provides an efficient environment to reach this objective. The contamination susceptibility index was calculated by taking the product of the vulnerability index (VI) and the quality index (QI). The VI index was calculated using DRASTIC method to evaluate the hydrogeological characteristics of the Aquifer. The quality index calculation procedure, based on the water classification, was introduced to evaluate hydrochemical data. The susceptibility indexing method was applied in the Chebba-Mellouleche Aquifer, located in Eastern Tunisia. The results show a clear degradation of the water quality throughout the Aquifer. In addition, the susceptibility indexing map which incorporates hydrogeological and hydrochemical datasets reveals a similarity with areas of high anthropogenic activities. Thus, it is more realistic to estimate the groundwater contamination. The main aim of this study is to give an overview of the drinking and irrigation water quality in relation to the hydrogeological characteristics of the Chebba-Mellouleche Aquifer. This overview can form the basis for further investigations.

Suggested Citation

  • Saidi, Salwa & Bouri, Salem & Ben Dhia, Hamed & Anselme, Brice, 2009. "A GIS-based susceptibility indexing method for irrigation and drinking water management planning: Application to Chebba-Mellouleche Aquifer, Tunisia," Agricultural Water Management, Elsevier, vol. 96(12), pages 1683-1690, December.
    • Handle: RePEc:eee:agiwat:v:96:y:2009:i:12:p:1683-1690
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    References listed on IDEAS

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    1. Causape, J. & Quilez, D. & Aragues, R., 2006. "Groundwater quality in CR-V irrigation district (Bardenas I, Spain): Alternative scenarios to reduce off-site salt and nitrate contamination," Agricultural Water Management, Elsevier, vol. 84(3), pages 281-289, August.
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    Cited by:

    1. Gdoura, Khadija & Anane, Makram & Jellali, Salah, 2015. "Geospatial and AHP-multicriteria analyses to locate and rank suitable sites for groundwater recharge with reclaimed water," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 19-30.
    2. Bo Zhang & Guoxiu Li & Pin Cheng & Tian-Chyi Jim Yeh & Mei Hong, 2016. "Landfill Risk Assessment on Groundwater Based on Vulnerability and Pollution Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1465-1480, March.
    3. Saidi, S. & Bouri, S. & Ben Dhia, H. & Anselme, B., 2011. "Assessment of groundwater risk using intrinsic vulnerability and hazard mapping: Application to Souassi aquifer, Tunisian Sahel," Agricultural Water Management, Elsevier, vol. 98(10), pages 1671-1682, August.
    4. M. Annie Jenifer & Madan Kumar Jha, 2022. "A Novel GIS-Based Modeling Approach for Evaluating Aquifer Susceptibility to Anthropogenic Contamination," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    5. Bo Zhang & Guoxiu Li & Pin Cheng & Tian-Chyi Yeh & Mei Hong, 2016. "Landfill Risk Assessment on Groundwater Based on Vulnerability and Pollution Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1465-1480, March.
    6. Matzeu, Anna & Secci, Romina & Uras, Gabriele, 2017. "Methodological approach to assessment of groundwater contamination risk in an agricultural area," Agricultural Water Management, Elsevier, vol. 184(C), pages 46-58.

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