2007
DOI: 10.1007/s11269-007-9165-0
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The Influence of Anthropogenic Contamination on the Groundwater Chemistry of a Semi-confined Aquifer (The Wielkopolska Buried Valley Aquifer, Poland)

Abstract: The problem of the identification of the influence of anthropogenic contamination on the groundwater chemistry of a semi-confined buried valley aquifer is presented. It has been shown that the symptoms of groundwater chemistry transformation due to anthropogenic contamination appear, even though confined conditions occur. Statistical techniques have been used for the identification of this problem. Factor analysis has been used to recognize the most vulnerable parts of the aquifer. Based on the factor scores, … Show more

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Cited by 23 publications
(22 citation statements)
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(15 reference statements)
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“…Consequently, interpreting the natural changes in the groundwater chemistry is difficult. For this reason, the data subset that is influenced by natural geochemical processes (i.e., not affected by human activity) was analysed using the method presented by Dragon (2008). The results of the FA were helpful in distinguishing between uncontaminated and contaminated groundwater.…”
Section: Resultsmentioning
confidence: 99%
“…Consequently, interpreting the natural changes in the groundwater chemistry is difficult. For this reason, the data subset that is influenced by natural geochemical processes (i.e., not affected by human activity) was analysed using the method presented by Dragon (2008). The results of the FA were helpful in distinguishing between uncontaminated and contaminated groundwater.…”
Section: Resultsmentioning
confidence: 99%
“…3a and 3b). The most intensive increase is visible in cases of chloride and sulphate (reflected by electrical conductivity); thus, the parameters reflect water anthropogenic contamination (Dragon 2008). Interestingly, some parameters (oxygen consumption, iron and water colour) show decrease of concentrations over time ( Fig.…”
Section: Resultsmentioning
confidence: 91%
“…4b). These groundwater components were identified as the most sensitive indicators of anthropogenic input (Dragon 2008). Their concentrations are incomparably higher than those of the whole data set (compare Fig.…”
Section: Resultsmentioning
confidence: 96%
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