Hydrogeophysical comparison of hillslope critical zone architecture for different geologic substrates

Author:

Parsekian Andrew D.1ORCID,Grana Dario2ORCID,Neves Felipe dos Anjos2ORCID,Pleasants Mark S.3ORCID,Seyfried Mark4,Moravec Bryan G.5,Chorover Jon5,Moraes Anthony M.2,Smeltz Natalie Y.2,Westenhoff John H.2,Kelleners Thijs3

Affiliation:

1. University of Wyoming, Department of Geology and Geophysics and Department of Civil and Architectural Engineering, 1000 East University Avenue, Laramie, Wyoming 82071, USA.(corresponding author).

2. University of Wyoming, Department of Geology and Geophysics, 1000 East University Avenue, Laramie, Wyoming 82071, USA..

3. University of Wyoming, Department of Ecosystem Science and Management, 1000 East University Avenue, Laramie, Wyoming 82071, USA..

4. U.S. Department of Agriculture, Agricultural Research Service, 251 East Front Street, Suite 400, Boise, Idaho 83702, USA..

5. University of Arizona, Department of Environmental Science, 1177 East 4th Street Tucson, Arizona 85721, USA..

Abstract

The belowground architecture of the critical zone (CZ) consists of soil and rock in various stages of weathering and wetness that acts as a medium for biological growth, mediates chemical reactions, and controls partitioning of hydrologic fluxes. Hydrogeophysical imaging provides unique insights into the geometries and properties of earth materials that are present in the CZ and beyond the reach of direct observation beside sparse wellbores. An improved understanding of CZ architecture can be achieved by leveraging the geophysical measurements of the subsurface. Creating categorical models of the CZ is valuable for driving hydrologic models and comparing belowground architectures between different sites to interpret weathering processes. The CZ architecture is revealed through a novel comparison of hillslopes by applying facies classification in the elastic-electric domain driven by surface-based hydrogeophysical measurements. Three pairs of hillslopes grouped according to common geologic substrates — granite, volcanic extrusive, and glacially altered — are classified by five different hydrofacies classes to reveal the relative wetness and weathering states. The hydrofacies classifications are robust to the choice of initial mean values used in the classification and noncontemporaneous timing of geophysical data acquisition. These results will lead to improved interdisciplinary models of CZ processes at various scales and to an increased ability to predict the hydrologic timing and partitioning. Beyond the hillslope scale, this enhanced capability to compare CZ architecture can also be exploited at the catchment scale with implications for improved understanding of the link between rock weathering, hydrochemical fluxes, and landscape morphology.

Funder

National Science Foundation

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

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