Katherine M. Ransom

A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA

Katherine M. Ransom, Bernard T. Nolan, Jonathan A. Traum et al. · The Science of The Total Environment · 2017 · 190 citations · Full text

Natural Resources, Earth Sciences, Water Resources Management +17

Machine learning predictions of nitrate in groundwater used for drinking supply in the conterminous United States

Katherine M. Ransom, Bernard T. Nolan, Paul E. Stackelberg et al. · The Science of The Total Environment · 2021 · 176 citations · Full text

Natural Resources, Earth Sciences, Hydrology +15

Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States

Andrea K. Tokranov, Katherine M. Ransom, Laura M. Bexfield et al. · Science · 2024 · 119 citations

Natural Sciences, Environmental Sciences, Hydrology +17

Machine-Learning Predictions of High Arsenic and High Manganese at Drinking Water Depths of the Glacial Aquifer System, Northern Continental United States

Melinda L. Erickson, Sarah Elliott, Craig J. Brown et al. · Environmental Science & Technology · 2021 · 110 citations · Full text

Natural Resources, Earth Sciences, Hydrology +17

GW231123: A Binary Black Hole Merger with Total Mass 190–265 <i>M</i> _⊙

Adrian Abac, I. Abouelfettouh, F. Acernese et al. · The Astrophysical Journal Letters · 2025 · 80 citations · Full text

Natural Sciences, Astronomy, Physics +14