2015
DOI: 10.3133/sir20155162
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Groundwater/surface-water interactions in the Bad River Watershed, Wisconsin

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Cited by 14 publications
(17 citation statements)
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“…This follows hydrologic intuition that measurements near groundwater divides provide information about the distribution of flow between competing sinks. The magnitude of the data worth near the mine pit is related to both the influence of surrounding hydraulic conductivities on the amount of water captured by the proposed pit, and a lack of existing observation data in this area (Leaf et al ). Conversely, a forecast far from the mine (Figure ) shows little potential for uncertainty reduction, due to the nearby boundary condition of Lake Superior and existing water level data from wells in the vicinity of Odanah, Wisconsin.…”
Section: Resultsmentioning
confidence: 99%
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“…This follows hydrologic intuition that measurements near groundwater divides provide information about the distribution of flow between competing sinks. The magnitude of the data worth near the mine pit is related to both the influence of surrounding hydraulic conductivities on the amount of water captured by the proposed pit, and a lack of existing observation data in this area (Leaf et al ). Conversely, a forecast far from the mine (Figure ) shows little potential for uncertainty reduction, due to the nearby boundary condition of Lake Superior and existing water level data from wells in the vicinity of Odanah, Wisconsin.…”
Section: Resultsmentioning
confidence: 99%
“…Data worth for a forecast of base flow in the Tyler Forks River near the proposed mine. Results from the highly parameterized model (A) show clear concentrations of high data worth between the proposed mine pit and the Tyler Forks River upstream of the forecast, and near the groundwater divide between the Tyler Forks and Potato River basins (modified from figure 22 in Leaf et al ). In contrast, results from zoned model (B) show diffuse data worth.…”
Section: Resultsmentioning
confidence: 99%
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