Spatially Detailed Quantification of Metal Loading for Decision Making: Metal Mass Loading to American Fork and Mary Ellen Gulch, Utah

Kimball, Briant A.; Runkel, Robert L.

doi:10.1007/s10230-009-0085-5

Cited by 23 publications

(16 citation statements)

References 23 publications

(18 reference statements)

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“…Under these conditions, the proposed model suggests a much larger diurnal variation in Kd due to the diel variation of the pH and larger SPM concentrations. These results suggest an important variation in the sub-daily concentration of the dissolved and particulate phases that have been observed in some studies (Brick and Moore, 1996;Kimball and Runkel, 2009;Nimick et al, 2011Nimick et al, , 2003Tercier-Waeber et al, 2009). Brick and Moore (1996) reported increases in dissolved TMs concentrations (two to three times higher than daytime concentrations) at night in waters with similar pH and major ion concentrations, showing high concentrations of TMs.…”

Section: Application Of the Coupled Model To The Study Casesupporting

confidence: 71%

Modelling trace metal transfer in large rivers under dynamic hydrology: A coupled hydrodynamic and chemical equilibrium model

Garneau

Sauvage

Sánchez‐Pérez

et al. 2017

Environmental Modelling & Software

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Section: Application Of the Coupled Model To The Study Casesupporting

confidence: 71%

Modelling trace metal transfer in large rivers under dynamic hydrology: A coupled hydrodynamic and chemical equilibrium model

Garneau

Sauvage

Sánchez‐Pérez

et al. 2017

Environmental Modelling & Software

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“…The conservative tracer dilution/synoptic sampling approach (Kilpatrick and Cobb ; Bencala and McKnight ; Kimball and Runkel ) was used to calculate Q and then determine I for each of 16 stream subsections along the Nine‐Mile Creek study reach. Br was used as the conservative tracer, as it is generally found in very low concentrations in surface water.…”

Section: Methodsmentioning

confidence: 99%

A Stream‐Based Methane Monitoring Approach for Evaluating Groundwater Impacts Associated with Unconventional Gas Development

et al. 2013

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Gaining streams can provide an integrated signal of relatively large groundwater capture areas. In contrast to the point-specific nature of monitoring wells, gaining streams coalesce multiple flow paths. Impacts on groundwater quality from unconventional gas development may be evaluated at the watershed scale by the sampling of dissolved methane (CH4 ) along such streams. This paper describes a method for using stream CH4 concentrations, along with measurements of groundwater inflow and gas transfer velocity interpreted by 1-D stream transport modeling, to determine groundwater methane fluxes. While dissolved ionic tracers remain in the stream for long distances, the persistence of methane is not well documented. To test this method and evaluate CH4 persistence in a stream, a combined bromide (Br) and CH4 tracer injection was conducted on Nine-Mile Creek, a gaining stream in a gas development area in central Utah. A 35% gain in streamflow was determined from dilution of the Br tracer. The injected CH4 resulted in a fivefold increase in stream CH4 immediately below the injection site. CH4 and δ(13) CCH4 sampling showed it was not immediately lost to the atmosphere, but remained in the stream for more than 2000 m. A 1-D stream transport model simulating the decline in CH4 yielded an apparent gas transfer velocity of 4.5 m/d, describing the rate of loss to the atmosphere (possibly including some microbial consumption). The transport model was then calibrated to background stream CH4 in Nine-Mile Creek (prior to CH4 injection) in order to evaluate groundwater CH4 contributions. The total estimated CH4 load discharging to the stream along the study reach was 190 g/d, although using geochemical fingerprinting to determine its source was beyond the scope of the current study. This demonstrates the utility of stream-gas sampling as a reconnaissance tool for evaluating both natural and anthropogenic CH4 leakage from gas reservoirs into groundwater and surface water.

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“…Extracting and processing of minerals from hard rock mines at an industrial scale can result in tremendous loading of trace elements into streams and rivers. Numerous studies have been conducted to characterize the geochemical speciation and reactive transport of trace element contaminants in mining-impacted streams (Cánovas et al 2012;Caruso et al 2008;Kimball and Runkel 2009). The spatial and temporal distribution of trace elements in surface water can be affected by various hydrological, geochemical, and microbiological processes.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution of As, Cr, Pb, Cd, Cu, and Zn in the Water and Sediment of a River Impacted by Gold Mining

Zhang

Zhou

2013

Mine Water Environ

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Historical and active mining has adversely affected the geochemistry of the Jiehe River in the Jiaodong Peninsula, which has the largest gold ore reserves in China. Water and sediment samples were collected along the 37.8 km long river during the critical low flow season. Samples were analyzed for their geochemical properties, total concentrations of As, Cr, Pb, Cd, Cu, and Zn in the sediment, and dissolved/particulate concentrations of trace elements in filtered/unfiltered water samples. Our results demonstrate that substantial amount of these elements have been released into the Jiehe River during the processes of extracting, selecting, processing, and smelting at the many historical and active gold mining sites in the watershed. High concentrations of potentially toxic elements (1.9-1,004 lg L -1 As, 4.2-210 lg L -1 Cr, 7.9-9,529 lg L -1 Pb, 2.0-855 lg L -1 Cd, 47.4-8,494 lg L -1 Cu, and 105-11,336 lg L -1 Zn) have seriously affected water quality in the region. In addition, these contaminants have accumulated in the bed sediment (7.7-181 mg kg -1 As, 24.1-726 mg kg -1 Cr, 9.9-1,100 mg kg -1 Pb, 0.1-51.8 mg kg -1 Cd, 22.1-1,524 mg kg -1 Cu, and 53.5-5,484 mg kg -1 Zn). Spatial distribution of these contaminants in water and sediment is controlled by the discharge from point and non-point sources as well as the reactive transport processes. Spatial analysis conducted on the sediment and stream concentration of As, Pb, Cd, and Zn suggests that two mining-related sources, at 4.3 and 17.6 km downstream of the headwaters, contributed most of the As, Pb, Cd, and Zn load as particulates. In contrast, high levels of Cr and Cu in the sediment are not related to the current loading pattern and may be due to historical sources. As the first comprehensive study on the pollution caused by intensive gold mining in this area, this research has provided much needed information to establish effective management and remediation strategies.

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Spatially Detailed Quantification of Metal Loading for Decision Making: Metal Mass Loading to American Fork and Mary Ellen Gulch, Utah

Cited by 23 publications

References 23 publications

Modelling trace metal transfer in large rivers under dynamic hydrology: A coupled hydrodynamic and chemical equilibrium model

Modelling trace metal transfer in large rivers under dynamic hydrology: A coupled hydrodynamic and chemical equilibrium model

A Stream‐Based Methane Monitoring Approach for Evaluating Groundwater Impacts Associated with Unconventional Gas Development

Spatial Distribution of As, Cr, Pb, Cd, Cu, and Zn in the Water and Sediment of a River Impacted by Gold Mining

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