Geochemical interpretation of groundwater flow in the southern Great Basin

Koonce, Jeremy; Yu, Zhongbo; Farnham, Irene; Stetzenbach, Klaus J.

doi:10.1130/ges00031.1

Cited by 20 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to understand the relationship and underlying common characteristics among trace elements, an appropriate data analysis technique is necessary. Multivariate analyses such as factor analysis and/or cluster analysis have been applied extensively to analyze groundwater quality data including major ions (Stetzenbach et al 1999;Kim et al 2005;Lee et al 2008;Shyu et al 2011) and trace elements (Stetzenbach et al 1999;Farnham et al 2003; Koonce et al 2006;Chen et al 2007). These techniques can simplify and clarify the groundwater quality data by reducing a number of variables into a small number of factors, hereby extracting meaningful information regarding the environmental aquatic chemistry.…”

Section: Introductionmentioning

confidence: 99%

Multivariate analysis of trace elements in shallow groundwater in Fuchu in western Tokyo Metropolis, Japan

Thuyet

Saito

et al. 2016

Environ Earth Sci

View full text Add to dashboard Cite

A rapid increase in the use of ground source heat pump (GSHP) systems for heating and cooling of buildings potentially threatens to harm shallow groundwater quality. As a necessary preliminary step toward evaluating GSHP impact on shallow groundwater quality, this study used multivariate statistical analyses to investigate characteristics of trace elements in groundwater in Fuchu city in western Tokyo Metropolis. Water samples were collected twice a month from two aquifers at 30-and 45-m depths using four observation wells for more than a year. Concentrations of 14 trace elements (Li, B, Al, Cr, Mn, Fe, Ni, Cu, As, Se, Sr, Cd, Sb, and Pb) and Si as well as oxidation-reduction potential (ORP), dissolved oxygen (DO), electrical conductivity (EC), and pH were measured. All elements were under the environmental water quality criteria issued by the Japanese Ministry of the Environment. No clear seasonal trends were observed in the concentrations of 15 elements in groundwater. Principal component analyses showed the element properties were well characterized by three principal components (PC). PC1, which represents the more mobile trace elements in the groundwater, consisted of Li, B, Mn, Fe, As, and Si. PC2 included Al, Ni, Cd, and Sb, and represents ORPinsensitive properties. PC3 consisted of Pb, Cu, and Se, which are less mobile in groundwater. Samples collected from the same aquifer had high similarity in distribution and variation of the trace elements. This study proposes a useful statistical platform for assessing future effects of GSHP systems on shallow groundwater quality.

show abstract

Section: Introductionmentioning

confidence: 99%

Multivariate analysis of trace elements in shallow groundwater in Fuchu in western Tokyo Metropolis, Japan

Thuyet

Saito

et al. 2016

Environ Earth Sci

View full text Add to dashboard Cite

show abstract

“…Mixing calculations suggest that where the two flow paths converge near EROV4a, the groundwater composition is roughly a 50-50 mixture of waters from the upper Oasis Valley and Beatty Wash (Johannesson and Tang, 2009). Cluster analysis reveals that the major ion composition of both Oasis Valley and Beatty Wash groundwaters is consistent with chemical weathering of and interaction with the local felsic volcanic rocks (Koonce et al, 2006). More specifically, Johannesson and Tang (2009) predict that volcanic glass and biotite, in addition to gypsum and K-feldspar, are dissolving along the flow path, whereas calcite, Camontmorillonite, and Fe oxides/oxyhydroxide precipitate along the flow path.…”

Section: General Geochemistry Of the Oasis Valley-beatty Wash And Carmentioning

confidence: 88%

“…As such, sample sites were chosen along the flow path previously investigated in the Oasis Valley region of the field area ( Fig. 1a; Winograd and Thordarson, 1975;Thomas et al, 2002;Koonce et al, 2006;Johannesson and Tang, 2009).…”

Section: Oasis Valley and Beatty Wash Aquifer Nevadamentioning

confidence: 99%

Vanadium geochemistry along groundwater flow paths in contrasting aquifers of the United States: Carrizo Sand (Texas) and Oasis Valley (Nevada) aquifers

et al. 2015

View full text Add to dashboard Cite

Vanadium (V) concentrations were measured along the flow paths in two contrasting aquifer systems to study how changing solution composition and redox conditions affect V cycling and transport in groundwater flow systems. The Oasis Valley groundwater system in Nevada is an unconfined system where groundwaters generally remain oxic along the flow path, whereas the Carrizo Sand aquifer is a deep, confined coastal plain aquifer in Texas that contains well-defined Fe(III) and SO 4 2− reduction zones along the flow path. Speciation modeling predicts that in groundwaters from the Oasis Valley, V chiefly occurs as the vanadate oxyanion (e.g., H 2 VO 4 − , HVO 4 2− ), which is mobile along the entire flow path because of vanadate's solubility in oxic and alkaline waters. Furthermore, the data indicate that V concentrations increase in groundwaters along the flow path suggesting that mineral dissolution and/or desorption reactions progressively contribute V to groundwaters of the Oasis Valley system. Geochemical modeling is consistent with dissolution of mafic phenocrysts that are common in the local tuffaceous aquifer rocks as a probable source of V to Oasis Valley groundwaters. Within the Carrizo Sand aquifer, groundwater V concentrations decrease with flow beyond the recharge zone and into the confined portion of the aquifer. Thereafter, total V concentrations remain low and relatively constant along the remainder of the studied flow path, exhibiting no systematic variations across the Fe(III) and SO 4 2− reduction zones. Groundwaters from the Carrizo Sand aquifer are generally reducing, and as such, geochemical modeling suggests that both V(V) and V(IV) species occur in Carrizo Sand groundwaters, and furthermore, that the proportion of V(IV) species increases concurrent with the decrease in total V concentrations along the flow path. Results from sequential extraction experiments on Carrizo Sand aquifer sediment samples suggest that V adsorption onto Fe(III)/Mn(IV) oxides/oxyhydroxides acts to decrease the aqueous V concentrations in Carrizo Sand groundwater. Furthermore, geochemical modeling is consistent with complexation of V(IV) with dissolved organic matter (DOM) within the Carrizo Sand aquifer groundwaters, which, owing to the low DOM concentrations, appears to buffer V at low, but relatively constant concentrations within the confined and reducing Carrizo Sand groundwaters. These results support previous reports of V(IV)-DOM binding and imply that aquifer material maintains an essential role in not only determining the availability of V to enter aqueous solution but also in influencing partitioning between solid and aqueous phases.

show abstract

“…These researches have examined different qualitative factors relying on GIS abilities with regard to the types of water needs (Koonce et al . ; Babiker et al . ; Kouli et al .…”

Section: Introductionmentioning

confidence: 99%

“…So far, many studies have been carried out worldwide and in Iran on the quality of the groundwater and its qualitative zoning. These researches have examined different qualitative factors relying on GIS abilities with regard to the types of water needs (Koonce et al 2006;Babiker et al 2007;Kouli et al 2011;El-Fadel et al 2013;Babiker & Mohamed 2014;Li et al 2016;Atikul Islam et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Qualitative zoning of groundwater to assessment suitable drinking water using fuzzy logic spatial modelling via GIS

Tafreshi

Keshavarzi

2018

Water & Environment J

View full text Add to dashboard Cite

Due to shortage of surface water, resources of ground water in Iran (like many other countries with dry and semi‐dry weather) have turned into the most important and reliable source for water supply. Thus, it is necessary to consider the quality of this resource for drinking purposes. The aim of this study was to assessment suitable drinking water based on a fuzzy approach in Asalem region, Iran. For reduce the uncertainty, fuzzy logic spatial modelling via GIS was applied. To receive these aims, four stages were performed. In stage 1, we calculate the values of eighteen conventional and effective factors used for drinking water quality classification upon analysing the statistical quality data regarding various ions existing in 15 sample wells dug in 2015. In stage 2, interpolate these factors by kriging method via ArcGIS software. In stage 3, parameter standardization with fuzzy membership function were done. And in stage 4, for Aggregation factors, several fuzzy overlay operations were used. Finally, to identify the best operation, the ‘Optimum Index Factor’ was used. Results showed that the ‘GAMMA 0.9’ with highest OIF in most of the factors, is the best overly operation in our study area. According to classified the best operation map, 1.42% of understudied regions are classified in very poor class, 12.48% is grouped in poor class, 78.55% is grouped in fair class, 7.53% is classified in good group and 0.01% is classified as excellent group. In this regard only central parts of the study area have ‘fair’ to ‘good’ and ‘excellent’ groundwater quality for drinking water and in other parts, the quality is within ‘very poor’ and ‘poor’ to ‘fair’.

show abstract

Geochemical interpretation of groundwater flow in the southern Great Basin

Cited by 20 publications

References 24 publications

Multivariate analysis of trace elements in shallow groundwater in Fuchu in western Tokyo Metropolis, Japan

Multivariate analysis of trace elements in shallow groundwater in Fuchu in western Tokyo Metropolis, Japan

Vanadium geochemistry along groundwater flow paths in contrasting aquifers of the United States: Carrizo Sand (Texas) and Oasis Valley (Nevada) aquifers

Qualitative zoning of groundwater to assessment suitable drinking water using fuzzy logic spatial modelling via GIS

Contact Info

Product

Resources

About