2006
DOI: 10.1016/j.scitotenv.2006.02.044
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A prediction method for radon in groundwater using GIS and multivariate statistics

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Cited by 58 publications
(33 citation statements)
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“…Interpolated data were normalized for spatial grid creation. 22 Estimated nitrate and U concentrations (x independent and y dependent ) within a 1 km × 1 km (1 km 2 ) area were calculated by dividing the covariance (S xy ) of predicted concentrations by the product of standard deviations S x and S y (see the Supporting Information for details). 24 This method has been previously applied to the groundwater spatial distribution.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
“…Interpolated data were normalized for spatial grid creation. 22 Estimated nitrate and U concentrations (x independent and y dependent ) within a 1 km × 1 km (1 km 2 ) area were calculated by dividing the covariance (S xy ) of predicted concentrations by the product of standard deviations S x and S y (see the Supporting Information for details). 24 This method has been previously applied to the groundwater spatial distribution.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
“…Skeppström and Olofsson conducted a similar study in Sweden predicting 222 Rn in groundwater using GIS techniques: the authors studied effect of geology, topography and 238 U of the bedrock on 222 Rn concentrations in the groundwater. A similar effort was conducted in this study [19]. Fig.…”
Section: Resultsmentioning
confidence: 78%
“…The concentration of metals in this study varies by orders of magnitude and hence data standardization was performed using mean and variance values, according to the following equation (Skeppström and Olofsson 2006;Johnson and Wichern 2007):…”
Section: Cluster Analysismentioning
confidence: 99%