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Updated: Sep 9, 2025

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
Published on: February 21, 2017
Three-dimensional characterization of caves within the Grand Canyon's deep karst aquifer
Blase LaSala1, Temuulen Tsagaan Sankey2, Mark Nebel3
1School of Informatics, Computing and Cyber Systems, Northern Arizona University, 1295 Knoles Dr, Flagstaff, AZ, 86011, USA. bl778@nau.edu.
Abstract:
Understanding groundwater movement within karst aquifers remains challenging because flow-defining conduit and fracture networks are both complex and inaccessible. In Grand Canyon National Park, dye tracers have been used to establish flow paths for springs that support ecosystems and park operations. Unfortunately, these point-to-point studies are limited when attempting to extrapolate flow paths over thousands of square kilometers. We introduce a mobile lidar-based methodology that resolves groundwater flow-defining structures from actively-discharging stream caves within the aquifer. This methodology enabled efficient collection of centimeter-scale 3D data from over 10 km of remote caves from the Redwall (Mississippian) and Muav (Cambrian) limestones in the North Rim of the Grand Canyon. Our methodology achieved total compounding errors of less than 0.5% and shows strong agreement with traditional cave maps. We find geologic structures exposed within these caves are consistent across kilometers of cave passages, indicating groundwater flow exploits joint sets and bedding dip direction. These patterns suggest that present-day flow paths within the North Rim of Grand Canyon National Park are, in part, a product of regional faulting and uplift. This lidar-derived structural characterization enables karst network flow pattern identification that would be otherwise unavailable from traditional methods.
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