Using multivariate statistical methods to assess the groundwater quality in an arsenic-contaminated area of Southwestern Taiwan

• Published in: Environmental monitoring and assessment Vol. 184; no. 10; pp. 6071 - 6085
• Main Authors: Lu, K.-L., Liu, C.-W., Jang, C.-S.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.10.2012; Springer Nature B.V
• Subjects: Alluvial fans; Alluvial plains; Aquifers; Arsenic; Arsenic - analysis; Atmospheric Protection/Air Quality Control/Air Pollution; Cluster analysis; Discriminant analysis; Distribution patterns; Earth and Environmental Science; Ecology; Ecotoxicology; Environment; Environmental Management; Environmental monitoring; Environmental Monitoring - methods; Factor analysis; Geologic Sediments - chemistry; Geology; Groundwater; Groundwater - chemistry; Iron; Metal oxides; Monitoring/Environmental Analysis; Multivariate Analysis; Principal components analysis; Reduction; Rivers; Rivers - chemistry; Salinization; Sediments; Spatial distribution; Statistical methods; Studies; Taiwan; Water analysis; Water monitoring; Water Pollutants, Chemical - analysis; Water Pollution, Chemical - statistics & numerical data; Water quality; Water quality management; Water resources; Water sampling; Zonation; Taiwan; Multivariate statistical methods; Groundwater; Arsenic; Taiwan; Salination
• ISSN: 0167-6369; 1573-2959
• DOI: 10.1007/s10661-011-2406-y

Groundwater is a major water resource in Southwestern Taiwan; hence, long-term monitoring of water quality is essential. The study aims to assess the hydrochemical characteristics of water in the arsenic-contaminated aquifers of Choushui River alluvial fan and Chianan Plain, Taiwan using multivariate statistical methods, namely, factor analysis (FA), cluster analysis (CA), and discriminant analysis (DA). Factor analysis is applied to reveal the processes controlling the hydrochemistry of groundwater. Cluster analysis is applied to spatially categorize the collected water samples based on the water quality. Discriminant analysis is then applied to elucidate key parameters associated with the occurrence of elevated As concentration (>10 μg L −1 ) in groundwater. Major water types are characterized as Na–Ca–Cl and Na–Mg–Cl in the Choushui River alluvial fan and Chianan Plain, respectively. Inorganic species of arsenic (As), particularly As(III), prevail in these two groundwater catchments, and their levels are higher in the Chianan Plain than in the Choushui River alluvial fan. Through FA, three factors, namely, the degree of salination, As reduction, and iron (Fe) reduction, are determined and denoted irrespective of some differences between the factorial compositions. Spatial distribution patterns of factors As reduction and Fe reduction imply that the redox zonation is delineated by As- and Fe-dominance zones separately. The results of CA demonstrate that three main groups can be properly explained by the factors extracted via FA. Three- (Fe 2+ , Fe 3+ , and NH 4 + ) and four-parameters (Fe 2+ , Fe 3+ , NH 4 + , and Ca 2+ ) derived from discriminant analysis for Choushui River alluvial fan and Chianan Plain are elucidated as key parameters affecting the distribution of As-contained groundwater. The analytical results indicate that the reductive dissolution of Fe minerals is prerequisite for the mobilization of As, whereas the shift of redox condition from Fe- to As-reducing leads to the accumulation of dissolved As in this area.