Multivariate statistical analysis of hydrochemical and radiological data of Serbian spa waters
Апстракт
Principal component analysis (PCA) and hierarchical cluster analysis (HCA) have been applied in order to recognize and classify spa waters collected at 30 sites on Serbian territory. The data set comprised 30 observations and 18 measured variables; natural radionuclides (K-40, (238)u, Ra-226, Ra-228), gross alpha (GA) and gross beta (GB) activities, and hydrochemical parameters (temperature, pH, electrical conductivity, total solids, HCO3-, Ca2+. Mg2+. Na+,K+, Cl-, SO42-, SiO2). A Box-Cox transformation was used as a data pretreatment before the statistical methods applied. Analyzed waters were qualified in 14 categories strongly predominated by hydrogen carbonate. The exploration of the correlation matrix allowed to uncover strong associations between some variables (the alkaline and alkaline-earth elements, the radium isotopes, GA, GB, and chloride) as well as a lack of association between the others (pH, T, Mg2+ and SiO2). PCA has revealed four latent factors which are responsible f...or the data structure covering 74.2% of the observed variations among the variables studied. Two of them can be initially assigned to mineralization of the components of the host rock whereas the other PCs are built from variables indicative of natural radioactivity. A reliable grouping of given data set of spa water samples with respect to their geotectonic units was found. The total correct classification of 83.3% was achieved for predefined geotectonic units. The resulting dendogram of HCA was interpreted to have classified the 30 spa water samples into four major groups and eleven subgroups using 18 variables. (C) 2011 Elsevier B.V. All rights reserved.
Кључне речи:
Spa water / PCA / HCA / Natural radioactivity / SerbiaИзвор:
Journal of Geochemical Exploration, 2012, 112, 226-234Финансирање / пројекти:
- Нове технологије за мониторинг и заштиту животног окружења од штетних хемијских супстанци и радијационог оптерећења (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-43009)
DOI: 10.1016/j.gexplo.2011.08.014
ISSN: 0375-6742
WoS: 000300201400019
Scopus: 2-s2.0-84155162817
Колекције
Институција/група
VinčaTY - JOUR AU - Tanasković, Irena AU - Golobočanin, Dušan D. AU - Miljević, Nada R. PY - 2012 UR - https://vinar.vin.bg.ac.rs/handle/123456789/4686 AB - Principal component analysis (PCA) and hierarchical cluster analysis (HCA) have been applied in order to recognize and classify spa waters collected at 30 sites on Serbian territory. The data set comprised 30 observations and 18 measured variables; natural radionuclides (K-40, (238)u, Ra-226, Ra-228), gross alpha (GA) and gross beta (GB) activities, and hydrochemical parameters (temperature, pH, electrical conductivity, total solids, HCO3-, Ca2+. Mg2+. Na+,K+, Cl-, SO42-, SiO2). A Box-Cox transformation was used as a data pretreatment before the statistical methods applied. Analyzed waters were qualified in 14 categories strongly predominated by hydrogen carbonate. The exploration of the correlation matrix allowed to uncover strong associations between some variables (the alkaline and alkaline-earth elements, the radium isotopes, GA, GB, and chloride) as well as a lack of association between the others (pH, T, Mg2+ and SiO2). PCA has revealed four latent factors which are responsible for the data structure covering 74.2% of the observed variations among the variables studied. Two of them can be initially assigned to mineralization of the components of the host rock whereas the other PCs are built from variables indicative of natural radioactivity. A reliable grouping of given data set of spa water samples with respect to their geotectonic units was found. The total correct classification of 83.3% was achieved for predefined geotectonic units. The resulting dendogram of HCA was interpreted to have classified the 30 spa water samples into four major groups and eleven subgroups using 18 variables. (C) 2011 Elsevier B.V. All rights reserved. T2 - Journal of Geochemical Exploration T1 - Multivariate statistical analysis of hydrochemical and radiological data of Serbian spa waters VL - 112 SP - 226 EP - 234 DO - 10.1016/j.gexplo.2011.08.014 ER -
@article{ author = "Tanasković, Irena and Golobočanin, Dušan D. and Miljević, Nada R.", year = "2012", abstract = "Principal component analysis (PCA) and hierarchical cluster analysis (HCA) have been applied in order to recognize and classify spa waters collected at 30 sites on Serbian territory. The data set comprised 30 observations and 18 measured variables; natural radionuclides (K-40, (238)u, Ra-226, Ra-228), gross alpha (GA) and gross beta (GB) activities, and hydrochemical parameters (temperature, pH, electrical conductivity, total solids, HCO3-, Ca2+. Mg2+. Na+,K+, Cl-, SO42-, SiO2). A Box-Cox transformation was used as a data pretreatment before the statistical methods applied. Analyzed waters were qualified in 14 categories strongly predominated by hydrogen carbonate. The exploration of the correlation matrix allowed to uncover strong associations between some variables (the alkaline and alkaline-earth elements, the radium isotopes, GA, GB, and chloride) as well as a lack of association between the others (pH, T, Mg2+ and SiO2). PCA has revealed four latent factors which are responsible for the data structure covering 74.2% of the observed variations among the variables studied. Two of them can be initially assigned to mineralization of the components of the host rock whereas the other PCs are built from variables indicative of natural radioactivity. A reliable grouping of given data set of spa water samples with respect to their geotectonic units was found. The total correct classification of 83.3% was achieved for predefined geotectonic units. The resulting dendogram of HCA was interpreted to have classified the 30 spa water samples into four major groups and eleven subgroups using 18 variables. (C) 2011 Elsevier B.V. All rights reserved.", journal = "Journal of Geochemical Exploration", title = "Multivariate statistical analysis of hydrochemical and radiological data of Serbian spa waters", volume = "112", pages = "226-234", doi = "10.1016/j.gexplo.2011.08.014" }
Tanasković, I., Golobočanin, D. D.,& Miljević, N. R.. (2012). Multivariate statistical analysis of hydrochemical and radiological data of Serbian spa waters. in Journal of Geochemical Exploration, 112, 226-234. https://doi.org/10.1016/j.gexplo.2011.08.014
Tanasković I, Golobočanin DD, Miljević NR. Multivariate statistical analysis of hydrochemical and radiological data of Serbian spa waters. in Journal of Geochemical Exploration. 2012;112:226-234. doi:10.1016/j.gexplo.2011.08.014 .
Tanasković, Irena, Golobočanin, Dušan D., Miljević, Nada R., "Multivariate statistical analysis of hydrochemical and radiological data of Serbian spa waters" in Journal of Geochemical Exploration, 112 (2012):226-234, https://doi.org/10.1016/j.gexplo.2011.08.014 . .