Selection of analytical variables to optimize laboratory efforts in future groundwater studies
✍ Scribed by J.M. Andrade; D. Prada; E. Alonso; P. López; auS. Muniategui; P. de la Fuente; M.A. Quijano
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 843 KB
- Volume
- 292
- Category
- Article
- ISSN
- 0003-2670
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✦ Synopsis
The main objective of this work was to develop a way to select a subset of analytical variables from one initial broad study to monitor groundwater quality. The study was applied to one Spanish area. The work was focused on selecting actual physico-chemical variables rather than using typical multivariate techniques as a way to reduce costs, effort, necessities facility and staff workloads. Several chemometric multivariate techniques such as principal components analysis, factor analysis, singular value decomposition of raw data matrix and procrustes rotation were used as the mathematical means to achieve the objectives. Of the initial 29 variables analysed, six of them were selected to describe the system during five seasonal samplings and it is hoped that each season subset will allow the monitoring of groundwater quality during future seasons.