Paper No. 14
Presentation Time: 6:00 PM-8:00 PM
DRESSING THE EMPEROR: THE ROLE OF GIS IN THE DEVELOPMENT OF THREE-DIMENSIONAL HYDROGEOLOGIC MODELS
Stone and others (2001) mapped structure contours for the tops of each of 20 individual
units in intersecting and overlapping glacial morphosequences in Berrien County,
Michigan (1,350 km2), as part of the mapping program of the Central
Great Lake Geologic Mapping Coalition (CGLGMC). We have developed a methodology
to translate this detailed morphostratigraphy first into a solid three-dimensional
geologic model, and then into a three-dimensional block of data that can be used
as input to a finite-difference groundwater-flow model. The technique involves
a hybrid approach involving geographic information systems (GIS), three-dimensional
information visualization software (3DIVS), and customized data-processing code.
The methodology begins by converting Stone’s structure contours (they are
attributed vector contours) for each individually mapped unit into a raster surface
at a defined grid resolution (170 m x 170 m). The top of the geologic model is
the surface topography (digital elevation model), which is also used to derive
the drainage network that is an important boundary condition in the groundwater-flow
model. The bottom of the geologic model is the bedrock topography, which was also
mapped and contoured by Stone and others (2001). Stone constructed his structure
contour model such that the bottom of each map unit is described by the surface
contours of the unit that lies immediately below it. Complex interrelationships
dictate that the tops of a number of individually mapped units are sometimes required
to describe the bottom surfaces of laterally more extensive units. Once all of
the requisite raster grids have been derived, they can be manipulated to provide
input that is necessary for development of a detailed solid geologic model using
3DIVS. GIS software and custom code are also used to assign hydrogeologic attributes
to the elements of the final three-dimensional finite-difference geologic model.