Ncibi, K., Chaar, H., Hadji, R., Baccari, N., Sebei, A., Khelifi, F. et al. (2020). A GIS-Based Statistical Model for Assessing Groundwater Susceptibility Index in Shallow Aquifer in Central Tunisia (Sidi Bouzid Basin). Arabian Journal of Geosciences, 13, Article No. 98. https://doi.org/10.1007/s12517-020-5112-7

has been cited by the following article:

• TITLE: Study of Intrinsic Vulnerability to Pollution by the GOD-Foster Method: Application to Temara Groundwater (Morocco)

  AUTHORS: Mariam Taazzouzte, Abdessamad Ghafiri, Hassan Lemacha, Saida El Moutaki

  KEYWORDS: Groundwater, Geograpgic Information System, Vulnerability, GOD-Foster Method

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.8 No.8, August 31, 2020

  ABSTRACT: In Morocco, groundwater is of major importance in national economic poli-cy, that’s why groundwater management programs are periodically installed to prevent their qualitative and quantitative degradation. Our work comes to contribute to this program by studying the inherent vulnerability to pollution of the Skhirate-Temara region (NW Morocco) using the GOD-Foster method. The latter defines the vulnerability of aquifers based on the resistance to pollutant penetration and the mitigation capacity of the underlying layer of the saturated zone while neglecting the lateral migration of pollutants into the saturated zone. The vulnerability map will delineate areas vulnerable to pol-lution and will serve as a decision-making tool to take the necessary action.