CALL FOR PROPOSALS:

ORGANIZERS

  • Harvey Thorleifson, Chair
    Minnesota Geological Survey
  • Carrie Jennings, Vice Chair
    Minnesota Geological Survey
  • David Bush, Technical Program Chair
    University of West Georgia
  • Jim Miller, Field Trip Chair
    University of Minnesota Duluth
  • Curtis M. Hudak, Sponsorship Chair
    Foth Infrastructure & Environment, LLC

 

Paper No. 3
Presentation Time: 8:35 AM

FUSION OF LITHOSTRATIGRAPHIC, ALLOSTRATIGRAPHIC, AND HYDROSTRATIGRAPHIC APPROACHES TO CHARACTERIZE A GLACIAL AQUIFER SYSTEM


LEMKE, Lawrence D., Department of Geology, Wayne State University, 0224 Old Main, 4841 Cass, Detroit, MI 48202 and FRAHM, Andrew L., Dept. of Geology, Wayne State University, 0224 Old Main, 4841 Cass Ave, Detroit, MI 48202, ldlemke@wayne.edu

A primary goal of hydrostratigraphic analyses undertaken in support of numerical hydrogeologic modeling is to identify distributions of rock or sediment distinguished by their porosity and permeability. In aquifer systems of glacial origin, abrupt lateral and vertical changes in texture necessitate the application of a combination of stratigraphic methods for effective hydrostratigraphic characterization. This presentation describes the use of hybrid models incorporating stochastic variability within a deterministic stratigraphic framework to model spatial variability of physical hydrogeologic properties in a glacial aquifer system.

Deterministic architectures may be established using a traditional lithostratigraphic correlation approach to specify the arrangement of texturally similar sediment bodies, or, alternatively, can be interpreted using allostratigraphic approaches to identify chronostratigraphically significant surfaces that divide sediments into genetically-related packages. Site-specific, field-scale groundwater flow and contaminant transport investigations often require additional detail that can be modeled stochastically, using geostatistics, within the larger deterministic framework. Application of geostatistics requires that assumptions of stationarity are not violated; hence the need to work within a sensible deterministic framework at an appropriate scale.

Moreover, the characterization of spatial variability within physically heterogeneous porous media can be confounded by the commensuration of the term ‘heterogeneous’ with the concept of ‘spatial variability’. Consequently, the conceptual terms uniform, nonuniform, homogeneous, and heterogeneous proposed by Greenkorn and Kessler (1969) and applied by Freeze (1975) will be discussed in the context of hybrid stochastic and deterministic hydrostratigraphic modeling and illustrated using an example from the Fort Wayne Moraine west of Ann Arbor, Michigan, USA. In this example, allostratigraphic correlation methods, constrained by static water level and contaminant concentration measurements, have been employed to construct a deterministic hydrostratigraphic architecture that will be supplemented by stochastic modeling of aquifer and aquitard parameters.

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