1. Correlating Bedrock Folds to Higher Rates of Arsenic Detection in Groundwater, S <scp>outheast</scp> Wisconsin, <scp>USA</scp>
- Author
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Eric D. Stewart, Esther K. Stewart, Kenneth R. Bradbury, and William Fitzpatrick
- Subjects
geography ,geography.geographical_feature_category ,Groundwater flow ,Bedrock ,0208 environmental biotechnology ,Geochemistry ,Anticline ,Aquifer ,Beaver dam ,02 engineering and technology ,Arsenic ,020801 environmental engineering ,Arsenic contamination of groundwater ,Wisconsin ,Computers in Earth Sciences ,Groundwater ,Water Pollutants, Chemical ,Geology ,Environmental Monitoring ,Water Science and Technology ,Water well - Abstract
Arsenic in private drinking water wells is a significant problem across much of eastern Wisconsin, USA. The release mechanism and stratigraphic distribution of sulfide and iron (hydr)oxide sources of arsenic in bedrock aquifers are well understood for northeastern Wisconsin. However, recent geologic mapping has identified numerous small bedrock folds to the south, and the impact of these geologic structures on local groundwater flow and well contamination has been little studied. This paper examines the hydrologic and structural effects of the Beaver Dam anticline, southeast Wisconsin, on arsenic in groundwater in the region. Multivariate logistic regression shows wells near the Beaver Dam anticline are statistically more likely to detect arsenic in groundwater compared to wells farther away. Structural and hydrologic changes related to folding are interpreted to be the cause. Core drilled near the fold axis is heavily fractured, and many fractures are filled with sulfides. Elevated hydraulic conductivity estimates are also recorded near the fold axis, which may reflect a higher concentration of vertical fractures. These structural and hydrologic changes may have led to systematic changes in the distribution and concentration of arsenic-bearing mineral hosts, resulting in the observed detection pattern. For areas with similar underlying geology, this approach may improve prediction of arsenic risk down to the local level.
- Published
- 2021
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