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Comparison of Two Methods for Groundwater Pollution Intrinsic Vulnerability Mapping in Wadi Nil (Jijel, North-East Alger...

Published: 15 March 2019 by Springer Nature in Advances in Sustainable and Environmental Hydrology, Hydrogeology, Hydrochemistry and Water Resources

doi: 10.1007/978-3-030-01572-5_66

The excessive use of fertilizers in agriculture led to the increase of the nitrates pollution of wadi Nil groundwater (Jijel, North-East Algeria). The use of fertilizers in high quantities with respect to the plants’ needs will lead to the leaching and infiltration of the excess fertilizers towards groundwater by increasing the nitrate percentage, which ultimately leads the contaminant’s level to exceed the allowed norms of water consumption (50 mg/l). The aims of this work were to assess the aquifer’s vulnerability caused by pollution using DRASTIC and GOD methods. The study is based on the obtained measurements during the field surveys conducted during the hydrological year 2010–2011 and supplemented by the compilation of the information collected from various technical services of Jijel city. The comparison of nitrate-concentration distribution map and that of vulnerability levels obtained by each approach, showed that the DRASTIC method was the most appropriate in this case with a percentage of 71.4% versus 47.2% for GOD method. It was found that the studied water was characterized by a medium to high degree of vulnerability, which requires finding solutions to protect and preserve the water of this area.

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Flow Estimation in a Basin by Using a Hydrological Model: Application to the Basin of Wadi Djendjen (Jijel, North-East A...

Published: 19 July 2018 by Pleiades Publishing Ltd in Water Resources

doi: 10.1134/s0097807818040024

The aim of this study was to transform the rain into flow in the basin of Wadi Djendjen by using a simulation model in absence of the continuous measurements of the flow. The obtained results indicated and confirmed the strong adaptability of this model with varied hydroclimatic situations. The validation process showed an interesting result, which lead to conclude that the model is well calibrated and has a good performance to be used for the basins with Mediterranean climate. The obtained results for the simulation by the GR2M model over the studied period (1973–1986) showed that there no significant difference between the obtained value for the yearly average flow (197.70 hm3) and that measured at Missa hydrometric station (200.80 hm3), which allow us to estimate quantitatively the flow in Missa hydrometric station. While, for the period of 2000–2012, the results showed that the yearly average flow value (171.90 hm3), is significantly different (reduction of 15% for 12 years), in comparison with that measured at Missa hydrometric station (200.80 hm3). This can be due to the dryness which struck the region since 2000, and the local degradation of the forest ecosystem, which has considerably affected the runoff surface.

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Published new article

Statistical Characterization of Groundwater Quality in Jijel Plain Area (Northeastern Algeria)

Published: 01 January 2018 by Springer Nature in Advances in Sustainable and Environmental Hydrology, Hydrogeology, Hydrochemistry and Water Resources

doi: 10.1007/978-3-319-70548-4_197

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Published new article


Application of Groundwater Vulnerability Overlay and Index Methods to the Jijel Plain Area (Algeria)

Published: 21 August 2017 by Wiley in Groundwater

doi: 10.1111/gwat.12582

Today, scientists are deeply concerned by the vulnerability of groundwater reservoirs to pollution. Relatively simple overlay and index methods can be used to produce groundwater vulnerability maps in geographic information system. In addition, this study deals with contamination from nonpoint sources. In this study, two such models, DRASTIC and GOD, were applied in the Jijel Plain area of northeast Algeria and compared with measured groundwater nitrate concentrations. This showed that results from DRASTIC were better than GOD, 69% correlation with nitrate compared to 56%. DRASTIC was better able to identify vulnerable zones along the river valleys. The DRASTIC model was then modified using the nitrate concentrations to optimize the rating score given within each parameter range and sensitivity analysis to change the weighting given for each parameter. These combined changes gave a final Pearson's correlation of 83% with nitrate. This showed that recharge, aquifer type, and topography were the key factors in controlling vulnerability to nitrate pollution.

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