2021
DOI: 10.3390/pollutants1020007
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Model-Based Analysis of the Link between Groundwater Table Rising and the Formation of Solute Plumes in a Shallow Stratified Aquifer

Abstract: Groundwater table rising (GTR) represents a well-known issue that affects several urban and agricultural areas of the world. This work addresses the link between GTR and the formation of solute plumes from contaminant sources that are located in the vadose zone, and that water table rising may help mobilize with time. A case study is analyzed in the stratified pyroclastic-alluvial aquifer near Naples (Italy), which is notoriously affected by GTR. A dismissed chemical factory generated a solute plume, which was… Show more

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Cited by 2 publications
(2 citation statements)
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References 42 publications
(67 reference statements)
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“…The interpolation of one kind or another (e.g., linear) of water level data, measured at the same time in the available observation wells of a given aquifer, allows contours of the potentiometric surface to be drawn (Bear, 2007). Therefore, many software programs have been developed for drawing contour maps, and properly designed and constructed mathematical models are able to predict the water levels by solving the partial differential equations which govern the groundwater flow (e.g., Domenico and Schwartz, 1998;Ochoa-Gonzáleza et al, 2015;Varisco et al, 2021). Geospatial technologies have become an effective tool for monitoring, mapping, and modeling water resources as well as for volcanic risk evaluation and management and emergency planning due to their capability to store, retrieve, analyze, and display data that are characterized spatially or geographically (Pareschi et al, 2000;Felpeto et al, 2007;Díaz-Alcaide and Martínez-Santos, 2019 and references therein;Abdalla et al, 2020;Bellucci Sessa et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The interpolation of one kind or another (e.g., linear) of water level data, measured at the same time in the available observation wells of a given aquifer, allows contours of the potentiometric surface to be drawn (Bear, 2007). Therefore, many software programs have been developed for drawing contour maps, and properly designed and constructed mathematical models are able to predict the water levels by solving the partial differential equations which govern the groundwater flow (e.g., Domenico and Schwartz, 1998;Ochoa-Gonzáleza et al, 2015;Varisco et al, 2021). Geospatial technologies have become an effective tool for monitoring, mapping, and modeling water resources as well as for volcanic risk evaluation and management and emergency planning due to their capability to store, retrieve, analyze, and display data that are characterized spatially or geographically (Pareschi et al, 2000;Felpeto et al, 2007;Díaz-Alcaide and Martínez-Santos, 2019 and references therein;Abdalla et al, 2020;Bellucci Sessa et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Lack of model-based analyses of sequential ISBs. Mathematical models are particularly important to provide quantitative support for decision makers [4,[10][11][12][13][14]. As the usefulness of mathematical tools was already demonstrated for single ISBs [14][15][16][17], we maintain that such models could also be fundamental for the correct design and implementation of sequential ISBs.…”
mentioning
confidence: 99%