Publications by authors named "Katherine J Knierim"
Article Synopsis
- Global demand for lithium, essential for lithium-ion batteries, is surging and will likely grow as the shift from fossil fuels continues.
- High lithium concentrations have been found in brines in Arkansas's Smackover Formation, prompting the use of machine learning to create predictive maps of lithium concentrations.
- Estimates suggest the Smackover Formation contains 5.1 to 19 million tons of lithium, potentially surpassing current US lithium resource estimates, with significant amounts extracted as waste from other industries in 2022.
Manganese (Mn) concentrations and the probability of arsenic (As) exceeding the drinking-water standard of 10 μg/L were predicted in the Mississippi River Valley alluvial aquifer (MRVA) using boosted regression trees (BRT). BRT, a type of ensemble-tree machine-learning model, were created using predictor variables that affect Mn and As distribution in groundwater. These variables included iron (Fe) concentrations and specific conductance predicted from previously developed BRT models, groundwater flux and age estimates from MODFLOW, and hydrologic characteristics.
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