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Model construction and results offer valuable insights into the relationship between nitrate concentrations in Nebraska, common sources, hydrogeological factors, and land-use trends. Exploratory analyses and literature review were first conducted to identify potentially influential factors, then Boosted Regression Trees (BRTs) were trained to classify wells likely to exceed each threshold value. Finally, the BRTs were generalized across the State of Nebraska and evaluated against private domestic well samples from the 2023-2024 NDEE free nitrate sampling effort. Model performance was strong for the testing and training data, and the model surfaces had acceptable performance compared to the fully independent private domestic well samples. However, additional work on the model is recommended to incorporate additional variables known to impact nitrate concentrations and reduce the false negative predictions (under prediction of nitrate concentration). 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