Groundwater Vulnerability and Risk Mapping of the Northern Sfax Aquifer, Tunisia

Brahim, Fatma Ben; Khanfir, Hafedh; Bouri, Salem

doi:10.1007/s13369-012-0261-y

Cited by 20 publications

(9 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…25) regions. This corroborates the results obtained by vulnerability assessment studies conducted in the shallow aquifer of Sfax [ 25 , 26 , 27 ]. These results confront those obtained other authors [ 22 ], in that they demonstrate that Jebeniana and Chaffar regions are characterized by the higher average of groundwater-level drawdown under climate change scenarios and are the most threatened by seawater intrusion hazard in the Sfax region.…”

Section: Resultssupporting

confidence: 90%

“…Processing with DRASTIC and GALDIT using geographic information system (GIS) tools, study conducted in the study region [ 24 ] allowed us to demonstrate that the Agareb–Chaffar–Mahares areas, which are known for rapid population growth and agricultural and industrial development, are characterized by a high-to-medium level of seawater intrusion sensitivity. This is also indicated by other works [ 25 , 26 , 27 ]. As mentioned above, previous studies tended to focus on aquifer seawater intrusion vulnerability evaluation and vulnerable zone mapping in the Sfax coastline shallow aquifer.…”

Section: Introductionsupporting

confidence: 87%

“…As the effects of agricultural and domestics activities on Sfax unconfined groundwater quality have been revealed by different authors [ 23 , 24 , 25 , 26 , 27 ], we only focus in the present paper on marine intrusion given its effect on the degradation of the groundwater quality.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of Seawater Intrusion in Coastal Aquifers Using Multivariate Statistical Analyses and Hydrochemical Facies Evolution-Based Model

Hajji

Allouche

Bouri

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

Groundwater (GW) studies have been conducted worldwide with regard to several pressures, including climate change, seawater intrusion, and water overexploitation. GW quality is a very important sector for several countries in the world, in particular for Tunisia. The shallow coastal aquifer of Sfax (located in Tunisia) was found to be under the combined conditions of continuous drop in GW and further deterioration of the groundwater quality (GWQ). This study was conducted to identify the processes that control GWQ mainly in relation to mineralization sources in the shallow Sfax coastal aquifer. To perform this task, 37 wells are considered. Data include 10 physico-chemical properties of groundwater analyzed in water samples: pH, EC, calcium (Ca), sodium (Na), magnesium (Mg), potassium (K), chloride (Cl), sulfate (SO4), bicarbonate (HCO3), and nitrate (NO3), i.e., investigation was based on a database of 370 observations. Principal component analysis (PCA) and hydrochemical facies evolution (HFE) were conducted to extract the main factors affecting GW chemistry. The results obtained using the PCA model show that GWQ is mainly controlled by either natural factors (rock–water interactions) or anthropogenic ones (agricultural and domestic activities). Indeed, the GW overexploitation generated not only the GWQ degradation but also the SWI. The inverse distance weighted (IDW) method, integrated in a geographic information system (GIS), is employed to achieve spatial mapping of seawater intrusion locations. Hydrochemical facies evolution (HFE) results corroborate the seawater intrusion and its spatial distribution. Furthermore, the mixing ratio showed that Jebeniana and Chaffar–Mahares localities are characterized by high SWI hazard. This research should be done to better manage GW resources and help to develop a suitable plan for the exploitation and protection of water resources.

show abstract

Section: Resultssupporting

confidence: 90%

Section: Introductionsupporting

confidence: 87%

See 1 more Smart Citation

Assessment of Seawater Intrusion in Coastal Aquifers Using Multivariate Statistical Analyses and Hydrochemical Facies Evolution-Based Model

Hajji

Allouche

Bouri

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to Sharaf [51] and Ben Brahim et al [52], the evolution of groundwater chemistry might be dependent upon the chemical weathering of rocks, precipitation, evaporation and recycling of water in an irrigated area. As expressed by SAR, Na%, RSC, MH and PI, the relative proportion of sodium to other principal cations was adopted in this study for evaluating the water's suitability for irrigation purposes [38,53,54].…”

Section: Water Quality For Irrigation Purposesmentioning

confidence: 99%

Use of Geographic Information System and Water Quality Index to Assess Groundwater Quality in Rawalpindi and Islamabad

Shabbir

Ahmad

2015

Arab J Sci Eng

View full text Add to dashboard Cite

Water quality assessment has always been a dominant part of environmental quality management. The present study involved the suitability assessment and mapping of groundwater quality for agricultural activities and drinking purposes in Rawalpindi and Islamabad area. A total of 22 samples were collected from borewells and open wells, and these water samples were further analysed for physical and chemical characteristics on the basis of which different indices were developed. Water quality index was calculated for overall water quality quantification from the perspective of human consumption. The results showed that a greater proportion exhibited poor quality for drinking due to overexploitation of groundwater resource, agricultural impact and direct release of contaminants. Further, evaluation of groundwater for its suitability for irrigation showed that majority of the groundwater was suitable for irrigation purposes.

show abstract

“…As mentioned above, most parts of Shiraz aquifer had very low and low vulnerability. Although depth of water table in these parts was shallow, they contained fine-grained sediments which led to decrease of surface recharge and the possibility of increase in occurrence of attenuation process, including chemical degradation, absorption, and dispersion [ 28 , 29 ]. This can be noticed from the rated maps of the aquifer media, vadose zone, and hydraulic conductivity (Figs.…”

Section: Resultsmentioning

confidence: 99%

Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran

Baghapour

Nobandegani

Talebbeydokhti

et al. 2016

J Environ Health Sci Engineer

View full text Add to dashboard Cite

BackgroundExtensive human activities and unplanned land uses have put groundwater resources of Shiraz plain at a high risk of nitrate pollution, causing several environmental and human health issues. To address these issues, water resources managers utilize groundwater vulnerability assessment and determination of protection. This study aimed to prepare the vulnerability maps of Shiraz aquifer by using Composite DRASTIC index, Nitrate Vulnerability index, and artificial neural network and also to compare their efficiency.MethodsThe parameters of the indexes that were employed in this study are: depth to water table, net recharge, aquifer media, soil media, topography, impact of the vadose zone, hydraulic conductivity, and land use. These parameters were rated, weighted, and integrated using GIS, and then, used to develop the risk maps of Shiraz aquifer.ResultsThe results indicated that the southeastern part of the aquifer was at the highest potential risk. Given the distribution of groundwater nitrate concentrations from the wells in the underlying aquifer, the artificial neural network model offered greater accuracy compared to the other two indexes. The study concluded that the artificial neural network model is an effective model to improve the DRASTIC index and provides a confident estimate of the pollution risk.ConclusionsAs intensive agricultural activities are the dominant land use and water table is shallow in the vulnerable zones, optimized irrigation techniques and a lower rate of fertilizers are suggested. The findings of our study could be used as a scientific basis in future for sustainable groundwater management in Shiraz plain.

show abstract

Groundwater Vulnerability and Risk Mapping of the Northern Sfax Aquifer, Tunisia

Cited by 20 publications

References 9 publications

Assessment of Seawater Intrusion in Coastal Aquifers Using Multivariate Statistical Analyses and Hydrochemical Facies Evolution-Based Model

Assessment of Seawater Intrusion in Coastal Aquifers Using Multivariate Statistical Analyses and Hydrochemical Facies Evolution-Based Model

Use of Geographic Information System and Water Quality Index to Assess Groundwater Quality in Rawalpindi and Islamabad

Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran

Contact Info

Product

Resources

About