143 A Showcase of Student Research in Geoinformatics and Data Science (Posters)

Students are invited to present original research posters relevant to geoinformatics and data science, including geospatial analysis, machine learning, big data, modeling, and visualization. Posters will be judged for divisional awards.

Monday, 20 October 2025
8:00 AM - 5:30 PM
HBGCC, Hall 1

Climate Scenario Modeling, DEMs, and Electrical Resistivity Tomography at Frozen Lake: Investigating Water Availability for Mount Rainier National Park in an Alpine Environment

Paper number: 143-4
Program: Technical Sessions
Time: 8:00 AM – 8:00 AM

Authors

Abstract

Frozen Lake, a high-elevation alpine lake shaped by human and natural processes, serves as the sole water supply for Mount Rainier National Park’s Sunrise Visitor Center (Washington, USA). Declining surface water availability and the need for a secure public water supply necessitates an evaluation of lakebed sediment and water storage potential in this remote and geologically complex area. A combination of remote sensing and bathymetry data estimates that sedimentation has reduced Frozen Lake’s historical capacity of 64 acre-feet to 53 acre-feet based on digital elevation model (DEM) assessments. In combination with the DEM, this study employed a novel open-water application of floating two-dimensional electrical resistivity tomography (ERT) surveys to image the subsurface beneath Frozen Lake, characterize recent sedimentation, and assess water supply potential. The low conductivity of this surface water, complex volcanic and glacial geologic setting, and anthropogenic modifications to the lake present a challenging environment for this investigation. Nonetheless, the integration of ERT models; historical data and geological studies; and recent DEMs enabled realistic bathymetric and subsurface interpretations and recommendations for bolstering the Sunrise Visitor Center’s water supply. To enhance the understanding of future water availability at Frozen Lake, this study integrated open-source Multivariate Adaptive Constructed Analogs (MACA) climate data into the tidymodels framework in R, enabling the development of a range of climate scenario models. These models project potential changes in water availability under varying climate conditions, providing critical insights for sustainable water management at Mount Rainier National Park’s Sunrise Visitor Center. This work highlights the efficacy of floating ERT surveys in remote alpine lakes, combining remotely sensed and field-based data in useable interpretations, underscores the challenges of interpreting geophysical data in geologically complex settings, and provides insights into sustainable water management strategies for Mount Rainier National Park.

Geological Society of America Abstracts with Programs. Vol. 57, No. 6

doi: 10.1130/abs/2025AM-413285

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