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Sensitivity analysis for the GALDIT method based on the assessment of vulnerability to pollution in the northern Sfax coastal aquifer,Tunisia 总被引：1，自引：0，他引：1
Mona?GontaraEmail author Nabila?Allouche Ikram?Jmal Salelm?Bouri 《Arabian Journal of Geosciences》2016,9(5):416
Coastal aquifer of northern Sfax (Tunisia) suffers from the high risk to seawater intrusion and the water quality degradation due to the overexploitation. Hence, assessing the study area vulnerability to pollution is highly crucial so as to protect the groundwater resources. The assessment has been performed by applying the GALDIT method using Geographic Information System (GIS) software and multi-criteria evaluation techniques, and the sensitivity analysis approach to evaluate the effect of each GALDIT parameter on the vulnerability assessment. The GALDIT vulnerability map classifies the study area into three vulnerability classes: low vulnerability (30–50), moderate vulnerability (50–70), and high vulnerability (70–90), which represent 5, 30, and 65 % of the study area, respectively. The map illustrates that the coastal zones of the aquifer are the most threatened areas. The sensitivity analysis results show that the aquifer hydraulic conductivity (A) and the thickness of the aquifer (T) represent the determining factors in the modified vulnerability model. The real weight was used to elaborate the modified GALDIT model which was correlated with resistivity values for validation. This study could serve as a scientific basis for sustainable land planning and groundwater management in the study area. 相似文献
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Emna Boughariou Moez Bahloul Ikram Jmal Nabila Allouche Jalila Makni Hafedh Khanfir Salem Bouri 《Arabian Journal of Geosciences》2018,11(4):69
Shallow groundwater is one of the main water resources in the arid and semi-arid regions. However, it is threatened by not only the reduced rainfall and recharge capacity, but also the water table drawdown and seawater intrusion. Such factors could cause a deterioration of the water quality and consequently the loss of a valuable hydraulic resource. This study aimed to improve our knowledge on the groundwater chemical quality evolution of the Sfax shallow aquifer, one of the most vulnerable areas in Tunisia, by developing a geochemical study using statistical and numerical methods. Salinization was identified by factorial analysis, PCA, and hierarchical clustering analysis in addition to the numerical MODPATH model. These findings confirmed that the groundwater quality has deteriorated due to natural and anthropogenic processes with a different influence of mineralization factors. They also revealed the location of seawater intrusion by focusing on the most vulnerable areas which are Chaffar and Djbeniana. Methodologically, the use of MODPATH model for seawater intrusion determination might be considered as the backbone for future studies in Tunisian coastal aquifers. The numerical model supports the results obtained by the geochemical analysis. Both methods are valuable tools as they contribute to trend determinations, management, and recovery plans. 相似文献
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Ikram Jmal Bachaer Ayed Emna Boughariou Nabila Allouche Salwa Saidi Monji Hamdi Salem Bouri 《Arabian Journal of Geosciences》2017,10(16):364
The study region comprises the Sidi Bouzid shallow aquifer, which is located in the western part of Central Tunisia. It is mainly occupied by agricultural land with intensive use of chemical fertilizers especially nitrates. For this reason, nitrate measurement was performed in 38 water samples to evaluate and calibrate the obtained models. Several environmental parameters were analyzed using groundwater nitrate concentrations, and different statistical approaches were applied to assess and validate the groundwater vulnerability to nitrate pollution in the Sidi Bouzid shallow aquifer. Multiple linear regression (MLR), analyses of covariance (ANCOVA), and logistic regression (LR) were carried out for studying the nitrate effects on groundwater pollution. Statistical analyses were used to identify major environmental factors that control the groundwater nitrate concentration in this region. Correlation and statistical analyses were conducted to examine the relationship between the nitrate (dependent variable) and various environmental variables (independent variables). All methods show that “groundwater depth” and “land use” parameters are statistically significant at 95% level of confidence. Groundwater vulnerability map was obtained by overlaying these two thematic layers which were obtained in the GIS environment. It shows that the high vulnerability area coincides with the likelihood that nitrate concentration exceeds 24.5 mg/l in groundwater. The relationship between the groundwater vulnerability classes and the nitrate concentrations provides satisfactory results; it showed an Eta-squared correlation coefficient of 64%. So, the groundwater vulnerability map can be used as a synthetic document for realistic management of groundwater quality. 相似文献
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Everhard Muyzert Nihed Allouche Pascal Edme Nicolas Goujon 《Geophysical Prospecting》2019,67(1):97-113
We built a five-component (5C) land seismic sensor that measures both the three-component (3C) particle acceleration and two vertical gradients of the horizontal wavefield through a pair of 3C microelectromechanical accelerometers. The sensor is a small cylindrical device planted vertically just below the earth's surface. We show that seismic acquisition and processing 5C sensor data has the potential to replace conventional seismic acquisition with analogue geophone groups by single 5C sensors placed at the same station interval when combined with a suitable aliased ground roll attenuation algorithm. The 5C sensor, therefore, allows for sparser, more efficient, data acquisition. The accuracy of the 5C sensor wavefield gradients depends on the 3C accelerometers, their sensitivity, self-noise and their separation. These sensor component specifications are derived from various modelling studies. The design principles of the 5C sensor are validated using test data from purpose-built prototypes. The final prototype was constructed with a pair of 3C accelerometers separated by 20 cm and with a self-noise of 35 ng Hz−1/2. Results from a two-dimensional seismic line show that the seismic image of 5C sensor data with ground roll attenuated using 5C sensor gradient data was comparable to simulated analogue group data as is the standard in the industry. This field example shows that up to three times aliased ground roll was attenuated. The 5C sensor also allows for correcting vertical component accelerometer data for sensor tilt. It is shown that a vertical component sensor that is misaligned with the vertical direction by 10° introduces an error in the seismic data of around –20 dB with respect to the seismic signal, which can be fully corrected. Advances in sensor specifications and processing algorithms are expected to lead to even more effective ground roll attenuation, enabling a reduction in the receiver density resulting in a smaller number of sensors that must be deployed and, therefore, improving the operational efficiency while maintaining image quality. 相似文献
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