globalchange  > 气候变化与战略
DOI: 10.1016/j.scitotenv.2020.137505
论文题名:
Spatial dependency of arsenic, antimony, boron and other trace elements in the shallow groundwater systems of the Lower Katari Basin, Bolivian Altiplano
作者: Quino-Lima I.; Ramos-Ramos O.; Ormachea-Muñoz M.; Quintanilla-Aguirre J.; Duwig C.; Maity J.P.; Sracek O.; Bhattacharya P.
刊名: Science of the Total Environment
ISSN: 489697
出版年: 2020
卷: 719
语种: 英语
英文关键词: Bolivia ; Groundwater ; Hydrochemistry ; Lower Katari Basin ; Spatial variability ; Trace elements
Scopus关键词: Aquifers ; Arsenic ; Autocorrelation ; Boron ; Geology ; Groundwater ; Groundwater geochemistry ; Groundwater resources ; Hydrochemistry ; Iron compounds ; Multivariant analysis ; Pollution ; Potable water ; Spatial variables measurement ; Trace elements ; Water quality ; Anthropogenic activity ; Bolivia ; Hydrochemical modeling ; Industrial pollutants ; Lower Katari Basin ; Multi variate analysis ; Spatial autocorrelations ; Spatial variability ; Spatial distribution ; antimony ; arsenic ; boron ; ground water ; trace element ; antimony ; aquifer pollution ; arsenic ; autocorrelation ; boron ; multivariate analysis ; spatial variation ; trace element ; water chemistry ; Article ; Bolivia ; chemical analysis ; chemical structure ; correlation analysis ; environmental monitoring ; geochemistry ; geography ; geology ; mathematical model ; oxidation reduction potential ; physical chemistry ; priority journal ; Altiplano ; Bolivia
英文摘要: Spatial patterns, cluster or dispersion trends are statistically different from random patterns of trace elements (TEs), which are essential to recognize, e.g., how they are distributed and change their behavior in different environmental processes and/or in the polluted/contaminated areas caused by urban and industrial pollutant located in upstream basins and/or by different natural geological conditions. The present study focused on a statistical approach to obtain the spatial variability of TEs (As, B and Sb) in shallow groundwater (GW) in a high-altitude arid region (Lower Katari Basin, Bolivian Altiplano), using multivariate analysis (PCA and HCA), geochemical modeling (PHREEQC, MINTEQ) and spatial analyses (Moran's I and LISA), considering the community supply wells. The results indicate that despite of the outliers there is a good autocorrelation in all cases, since Moran's I values are positive. The global spatial dependence analysis indicated a positive and statistically significant spatial autocorrelation (SA) for all cases and TEs are not randomly distributed at 99% confidence level. The results of hydrochemical modeling suggested the precipitation and stability of Fe (III) phases such as goethite. The re-adsorption of As and Sb on the mineral surface in the aquifer could be limiting the concentrations of both metalloids in southern regions. Spatial autocorrelation was positive (High-High) in northwestern (arsenic), southeastern (boron) and northeastern (antimony) region. The results reflected that the As and Sb are the main pollutants linked to the natural geological conditions, but B is a main pollutant due to the anthropogenic activities. Furthermore, >50% shallow groundwater exceeded the WHO limit and NB-512 guideline values for Sb (87%), B (56%) and As (50%); therefore the spatial distribution and concentrations of these TEs in GW raise a significant concern about drinking water quality in the study area. © 2020 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158167
Appears in Collections:气候变化与战略

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作者单位: Laboratorio de Hidroquímica, Instituto de Investigaciones Químicas, Universidad Mayor de San Andrés, La Paz, Bolivia; KTH-International Groundwater Arsenic Research Group, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Teknikringen 10B, Stockholm, SE-10044, Sweden; International Center for Applied Climate Science, University of Southern Queensland, Toowoomba, Queensland, Australia; Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP (Institute of Engineering), IGE, Grenoble, F-38000, France; Department of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County, 62102, Taiwan; Department of Geology, Faculty of Science, Palacky University, 17. listopadu 12, Olomouc, 7771 46, Czech Republic

Recommended Citation:
Quino-Lima I.,Ramos-Ramos O.,Ormachea-Muñoz M.,et al. Spatial dependency of arsenic, antimony, boron and other trace elements in the shallow groundwater systems of the Lower Katari Basin, Bolivian Altiplano[J]. Science of the Total Environment,2020-01-01,719
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