2013
DOI: 10.1016/j.scitotenv.2012.12.090
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Vulnerability mapping of groundwater contamination based on 3D lithostratigraphical models of porous aquifers

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Cited by 31 publications
(21 citation statements)
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“…In fact, it can be conceived as advancing the others focused on the estimation of pollutant travel time through the unsaturated zone by a physically-based model based on the simplistic assumption of the lack of vertical gradients of soil pressure head and the applicability of the Darcy law in the unsaturated zone [50] or constant rainfall and evapotranspiration conditions [40]. In addition, the proposed approach can simplify the assessment of groundwater vulnerability in complex stratigraphic settings of alluvial aquifers, characterized by high 3D spatial variability [66], whose distributed modeling of UZT and pollutant concentrations at the water table would require the setting of complex process-based models (e.g., MT3D-MODFLOW [83]).…”
Section: Discussionmentioning
confidence: 99%
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“…In fact, it can be conceived as advancing the others focused on the estimation of pollutant travel time through the unsaturated zone by a physically-based model based on the simplistic assumption of the lack of vertical gradients of soil pressure head and the applicability of the Darcy law in the unsaturated zone [50] or constant rainfall and evapotranspiration conditions [40]. In addition, the proposed approach can simplify the assessment of groundwater vulnerability in complex stratigraphic settings of alluvial aquifers, characterized by high 3D spatial variability [66], whose distributed modeling of UZT and pollutant concentrations at the water table would require the setting of complex process-based models (e.g., MT3D-MODFLOW [83]).…”
Section: Discussionmentioning
confidence: 99%
“…Through a first analysis of the borehole data, principal stratigraphic settings were recognized as mainly formed by typical and complex interfingering between alluvial deposits and pyroclastic soils erupted by the Phlegraean Fields and Somma-Vesuvius Volcanoes and generally characterized by alternating fine to coarse ashes and pumiceous lapilli horizons [54,66]. Starting from these data, 1D representative hydro-stratigraphic models were reconstructed down to the depth of 20 m, considering both homogeneous and heterogeneous stratigraphic conditions, with soil horizons varying in grain size from sand to silt.…”
Section: Modeling Of Nitrate Pollutant Transportmentioning
confidence: 99%
“…3), built with grid-modeling techniques (Lemon and Jones 2003;Turner 2006;Ducci and Sellerino 2013), is a very useful tool for the implementation of numerical flow models (Ducci et al 2012). By using the 3D model, it is possible to obtain a reliable reconstruction of the geometry of the aquifer and of the extension of the hydrostratigraphic units, even in such a complex structure where there are lenses of peat which can locally confine the aquifer; moreover, the 3D model facilitates the assignment of hydrodynamic parameters, as explained in the following § 3.2.…”
Section: D Modelingmentioning
confidence: 99%
“…In free flow aquifers, this potential is higher due to the rapid recharge of the geological unit (IRITANI; EZAKI, 2009). Vulnerability indicates the potential for contamination of groundwater resources according to natural and manmade activities (AL HALLAQ; ELAISH, 2012;BETANCUR et al, 2013;DUCCI;SELLERINO, 2013;EDET, 2014).…”
Section: Introductionmentioning
confidence: 99%