1. Assessment of groundwater vulnerability to contamination using the DRASTIC model and GIS functions in Doukkala Plain, Morocco
- Author
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Jamaa, Hasna, Hamdouni, Tahar, El Achheb, Abderrahim, and Ibno Namr, Khalid
- Abstract
The Doukkala Plain is an important agricultural region in Morocco. Accordingly, the excessive use of fertilizers and chemical compounds in irrigated agriculture has led to groundwater contamination, increasing the harmful substances such as nitrates and salinity in groundwater. In the study area, groundwater contamination can also be caused by animal waste, poor sanitation practices, and industrial activities. Therefore, the groundwater vulnerability to contamination was evaluated by employing the DRASTIC model and GIS programming language to extract and map the DRASTIC seven thematic maps using Kriging interpolation and the DRASTIC index vulnerability map using Raster Calculator functions on GIS. Then, the DRASTIC model was validated by electrical conductivity (EC) and nitrate concentrations in 160 groundwater samples. The calculated DRASTIC index (Di) range is 48–141. Consequently, the Doukkala aquifer is divided into three zones of very low, low, and moderate vulnerability covering, respectively, 78%, 9%, and 3% of the Plain. The sensitivity analysis indicates that Depth to water, net Recharge, Soil media, and Topography were the most effective in the DRASTIC index variation. The result also demonstrates that the Doukkala aquifer is exposed to a growing risk of contamination in large irrigation schemes where 0 < D < 30 m, 100 < R < 175 mm/year, and 0 < T < 2%. The increasing likelihood of pollution is confirmed by the high groundwater contents of EC (> 1500 µS/cm) and nitrates (> 50 mg/l), highlighting the negative impact of anthropic activities on groundwater quality. Overall, the DRASTIC approach will strengthen the monitoring of the groundwater resources in Doukkala Plain to ensure their sustainability and protect them from contamination.
- Published
- 2024
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