Factors Controlling the Regional Distribution of Vanadium in Groundwater

被引:114
作者
Wright, Michael T. [1 ]
Belitz, Kenneth [1 ]
机构
[1] US Geol Survey, Calif Water Sci Ctr, San Diego, CA 92101 USA
关键词
IRON-OXIDES; SEDIMENTARY-ROCKS; CLAY-MINERALS; TRACE-METALS; HENRY BASIN; SOILS; GEOCHEMISTRY; ASSOCIATION; DEPOSITS; ELEMENTS;
D O I
10.1111/j.1745-6584.2009.00666.x
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Although the ingestion of vanadium (V) in drinking water may have possible adverse health effects, there have been relatively few studies of V in groundwater. Given the importance of groundwater as a source of drinking water in many areas of the world, this study examines the potential sources and geochemical processes that control the distribution of V in groundwater on a regional scale. Potential sources of V to groundwater include dissolution of V rich rocks, and waste streams from industrial processes. Geochemical processes such as adsorption/desorption, precipitation/dissolution, and chemical transformations control V concentrations in groundwater. Based on thermodynamic data and laboratory studies, V concentrations are expected to be highest in samples collected from oxic and alkaline groundwater. However, the extent to which thermodynamic data and laboratory results apply to the actual distribution of V in groundwater is not well understood. More than 8400 groundwater samples collected in California were used in this study. Of these samples, high (>= 50 mu g/L) and moderate (25 to 49 mu g/L) V concentrations were most frequently detected in regions where both source rock and favorable geochemical conditions occurred. The distribution of V concentrations in groundwater samples suggests that significant sources of V are mafic and andesitic rock. Anthropogenic activities do not appear to be a significant contributor of V to groundwater in this study. High V concentrations in groundwater samples analyzed in this study were almost always associated with oxic and alkaline groundwater conditions, which is consistent with predictions based on thermodynamic data.
引用
收藏
页码:515 / 525
页数:11
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