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Geosciences 2017, 7(2), 20; doi:10.3390/geosciences7020020

Assessment of Groundwater Vulnerability to Nitrate Based on the Optimised DRASTIC Models in the GIS Environment (Case of Sidi Rached Basin, Algeria)

1
Division of Hydraulic and Bioclimatology, National Institute of Agronomic Research (INRA), 2 Rue des Frères Ouaddek, BP.200 Hacen Badi El Harrach, Algeria
2
Research Laboratory of Hydraulic, National Higher Institution for Agriculture (ENSAA), Hassan-Badi1 6200 Algiers, Algeria
*
Author to whom correspondence should be addressed.
Academic Editors: Peiyue Li, John A. Luczaj, Michael Schneider and Jesus Martinez-Frias
Received: 2 November 2016 / Revised: 15 March 2017 / Accepted: 21 March 2017 / Published: 31 March 2017
View Full-Text   |   Download PDF [13044 KB, uploaded 31 March 2017]   |  

Abstract

The DRASTIC model was tested on the Mitidja aquifer to assess vulnerability to nitrate pollution. Vulnerability indexes were obtained from classic DRASTIC (MDC) and pesticide DRASTIC (MDP) coupled with a geographic information system in which the weights of the model’s parameters were calculated using two weighting techniques: analytic hierarchy process (AHP) and single parameter sensitivity analysis (SPSA). The correlations between vulnerability indexes produced by both models and actual nitrate concentration values—measured from 34 system aquifers—show that the best combination is obtained from MDP–AHP (R = 0.72) followed by MDP–SPSA (R = 0.68), MDC–AHP (R = 0.67), MDC–SPSA (R =0.65), MDP (R = 0.64) and lastly MDC (R = 0.60). Pesticide DRASTIC/Analytic hierarchy Process (MDP–AHP) may be recommended as the best model for this case study. This result is important for the spatial analysis of nitrate pollution and will contribute to better management of intensive agricultural plans. View Full-Text
Keywords: classic DRASTIC; pesticide DRASTIC; GIS; groundwater vulnerability; analytic hierarchy process; single-parameter sensitivity analysis classic DRASTIC; pesticide DRASTIC; GIS; groundwater vulnerability; analytic hierarchy process; single-parameter sensitivity analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Saida, S.; Tarik, H.; Abdellah, A.; Farid, H.; Hakim, B. Assessment of Groundwater Vulnerability to Nitrate Based on the Optimised DRASTIC Models in the GIS Environment (Case of Sidi Rached Basin, Algeria). Geosciences 2017, 7, 20.

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