North-Central Section - 57th Annual Meeting - 2023

Paper No. 7-2
Presentation Time: 8:00 AM-12:00 PM

OBSERVED SHIFTS IN δD, δ18O, AND Δʹ17O IN PRECIPITATION AT ALLENDALE, MICHIGAN: 2021–2023


GENTRY, Ryan1, KNEESHAW, Tara1, WINKELSTERN, Ian2, HUTH, Tyler3, KONECKY, Bronwen3 and HUTCHINGS, Jack3, (1)Geology Department, Grand Valley State University, 1 Campus Drive, Allendale, MI 49401, (2)Department of Earth and Environmental Sciences, University of Michigan, 1100 North University Ave, Ann Arbor, MI 48109, (3)Washington University, St. Louis, MO 63130

Oxygen and hydrogen stable isotopes in precipitation have long been utilized as a tool for tracking atmospheric processes, including shifts in vapor source, weather patterns, and evaporative effects. Here we present meteoric water sample data from a downwind site east of Lake Michigan (the GVSU Allendale campus) collected from 2021–2023 by several undergraduate students. We measured hydrogen isotopes (δD), oxygen isotopes (δ18O), and the derived d‑excess parameter (d‑excess = δD – 8 × δ18O). We also measured the triple oxygen isotope parameter [Δʹ17O = ln(δ17O+1) – 0.528×ln(δ18O+1)], which can now be measured at high precision (± 0.01 ‰). Δʹ17O can add information beyond what can be inferred from the traditional mass balance approach, in part because it is temperature invariant relative to d-excess. These data were collected as part of a larger study investigating the possibility of isotopically quantifying evaporation from Lake Michigan. In this presentation, we seek to fundamentally describe observed trends in each parameter over several seasons and compare our results with other isotopic observations of precipitation in West Michigan. The data show that δ18O and δD data generally follow expected trends with high variability, with increases during summer and decreases during winter. Notably, d-excess and Δʹ17O data reach high values (>25 ‰ and >50 per meg, respectively) in winter, commonly associated with snow. Δʹ17O and d-excess are correlated overall but not always strongly, especially during winter months. This is likely due to the effects of lake evaporation being strongest during the cold season. Together, these data describe meaningful hydrologic variability in the region and provide insights into regional moisture recycling processes.