2022
DOI: 10.1038/s41598-022-20131-9
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A data completion method for identifying pollution intrusion in aquifers

Abstract: The data completion method combined with the modeling of water flow and solute transport in saturated porous media is used twice to identify the extent of polluted water intrusion from the downstream boundary of an aquifer. The aim of this work is to solve the problem even though data are missing on some of the boundaries, by exploiting the fact that there are over specified data on the other boundaries. Indeed, it is assumed that the flow and the water head are known on the upstream boundary while the polluta… Show more

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Cited by 3 publications
(2 citation statements)
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References 19 publications
(25 reference statements)
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“…Groundwater contains a dilution of the minerals found in sediments or rocks present in the aquifers that give them particular physicochemical characteristics [4]. On the other hand, these waters are very vulnerable to contamination by infiltration and percolation of microorganisms such as pathogens from sewage and chemicals such as heavy metals, medicines, agrochemicals, hydrocarbons, and microplastics [11][12][13]. The presence of these components of geogenic, biogenic, or anthropogenic origin, including emerging contaminants or pathogens, implies health risks for the people who consume them [14].…”
Section: Introductionmentioning
confidence: 99%
“…Groundwater contains a dilution of the minerals found in sediments or rocks present in the aquifers that give them particular physicochemical characteristics [4]. On the other hand, these waters are very vulnerable to contamination by infiltration and percolation of microorganisms such as pathogens from sewage and chemicals such as heavy metals, medicines, agrochemicals, hydrocarbons, and microplastics [11][12][13]. The presence of these components of geogenic, biogenic, or anthropogenic origin, including emerging contaminants or pathogens, implies health risks for the people who consume them [14].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the research focused on methods for completing datasets to detect contamination in groundwater reserves underscores the importance of data imputation techniques in filling voids in microclimatic information. This underscores the prevalent nature of challenges associated with missing data in environmental studies [8]. Additionally, the examination of missing data in spatiotemporal datasets underscores the inescapable occurrence of data gaps in environmental monitoring networks.…”
Section: Introductionmentioning
confidence: 99%