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      Geochemical modeling and multivariate statistical evaluation of trace elements in arsenic contaminated groundwater systems of Viterbo Area, (Central Italy)

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          Abstract

          Contamination of groundwater by naturally occurring arsenic has recently become a disturbing environmental problem in Viterbo area, Central Italy. Arsenic concentrations in most of the public supply networks exceed the maximum allowable limit of 10 μg/l (WHO) for drinking water. The primary purpose of this paper is to obtain a better understanding of the factors contributing to the high levels of As in water supply networks. This study focuses on (a) the determination of basic hydrochemical characteristics of groundwater, (b) the identification of the major sources and processes controlling the As contamination in public supply networks, (c) to find out possible relationships among the As and other trace elements through principal component analysis (PCA). Groundwater samples from public water supply wells and springs were collected and analysed for physico-chemical parameters and trace elements. Springs and well water samples are predominantly of the Na–HCO 3, Na –Ca–HCO 3 and Ca–HCO 3 types and the highest arsenic concentrations were observed in Na–HCO 3 type water. Eh-pH diagrams reveal that H 2AsO 4 and HAsO 4 2−, As(V) arsenate, are the dominating As species highlighting slightly to moderately oxidizing conditions. Geochemical modeling indicates that arsenic-bearing phases were undersaturated in the groundwater, however most of the samples were saturated with respect to Fe (i.e. magnetite, hematite and goethite) and Al (diaspore and boehmite) oxide and hydroxide minerals. Concentrations of As, Li, B, Co, Sr, Mo, U and Se are highly correlated (r > 0.7) with each other, however in some groundwater samples As show also good correlations (r > 0.5) with Fe and Mn elements reflecting the relationships among the trace elements result from different geochemical processes. Evaluation of the principal component (PCA) analysis and geochemical modeling suggest that the occurrence of As and other trace element concentrations in groundwater are probably derived from (i) weathering and/or dissolution of volcanic source aquifer materials and (ii) adsorption/desorption processes on the Fe and Al oxide and hydroxide minerals.

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          Multivariate Data Analysis

          For graduate courses in Marketing Research, Research Design and Data Analysis. For the non-statistician, this applications-oriented introduction to multivariate analysis reduces the amount of statistical notation and terminology used while focusing on the fundamental concepts that affect the use of specific techniques.
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            A graphic procedure in the geochemical interpretation of water-analyses

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                Author and article information

                Contributors
                giuseppe.sappa@uniroma1.it
                ergul.sibel@gmail.com
                ferrantiflavia@gmail.com
                Journal
                Springerplus
                Springerplus
                SpringerPlus
                Springer International Publishing (Cham )
                2193-1801
                8 May 2014
                8 May 2014
                2014
                : 3
                : 237
                Affiliations
                Dipartimento di Ingegneria Civile, Edile ed Ambientale, Sapienza, Università di Roma, Via Eudossiana, 18, 00186 Rome, Italy
                Article
                979
                10.1186/2193-1801-3-237
                4047272
                5f6b78ba-1d47-4518-9644-0f8ed4cbbc31
                © Sappa et al.; licensee Springer. 2014

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

                History
                : 28 February 2014
                : 11 April 2014
                Categories
                Case Study
                Custom metadata
                © The Author(s) 2014

                Uncategorized
                drinking water,arsenic,geochemical modeling,pca,trace elements
                Uncategorized
                drinking water, arsenic, geochemical modeling, pca, trace elements

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