GSA Connects 2022 meeting in Denver, Colorado

Paper No. 93-14
Presentation Time: 9:00 AM-1:00 PM

SILURIAN DEPTH-TO-BEDROCK MAP FOR EASTERN WISCONSIN, USA


HAAS, Lisa1, REHWALD, Matthew1, HART, David1, MINSLEY, Burke2 and CALKINS, Cody3, (1)Wisconsin Geological and Natural History Survey, 3817 Mineral Point Rd, Madison, WI 53705-5121, (2)Geology, Geophysics, and Geochemistry Science Center, U.S. Geological Survey, Denver, CO 80225, (3)Wisconsin Department of Agriculture, Trade, and Consumer Protection, Madison, WI 53708-8911

A fractured carbonate system comprises the Silurian-aged bedrock across eastern Wisconsin, USA, potentially acting as a conduit for contaminated surface water, such as manure-treated field effluent, to reach groundwater. Glacial deposits overlying the Silurian bedrock help filter contaminated surface water with thicker deposits having greater filtration potential. In light of revisions to state administrative codes ATCP50 and NR151 to regulate manure spreading, a current and timely mapping effort to derive a seamless depth-to-bedrock (DTB) map across the Silurian bedrock region in eastern Wisconsin was needed. The most recent DTB map and outline of the Silurian across eastern Wisconsin was created in 1979 at 1:250,000 scale.

Advancement of geographic information system (GIS) technologies and 43 years of additional subsurface information are available to generate a more current and precise DTB map. We applied a GIS spatial modeling tool called Empirical Bayesian Kriging with Regression Prediction (EBKRP) in Esri ArcGIS Pro 2.9.1 to first model a bedrock elevation surface, and then derive DTB by subtracting that surface from a ground-surface digital elevation model. We chose EBKRP over other interpolation methods because the calculation of an unknown value at a given location is dependent on the theoretical best fit of the variance of the known values over the interpolated area, rather than strictly distance. The theoretical best fit captures the spatial relationship across an area and provides the ability to coincidently generate a map of model error.

Additionally, the map presented here includes data from the novel application of airborne electromagnetic (AEM) data collected via SkyTEM Canada Inc. in collaboration with the United States Geological Survey and the Wisconsin Geological and Natural History Survey in 2021. AEM data was collected along helicopter flight lines and were inverted to produce electrical resistivity data at nearly 300 m depth with 1-2 m near-surface resolution. The resistivity transitions in the shallow subsurface were used to estimate DTB. Modern geostatistical techniques with additional and novel subsurface data has allowed us to generate a DTB map with higher resolution, more accuracy, and error estimates across the Silurian carbonate system in eastern Wisconsin.