Graduation Year


Document Type




Degree Granting Department


Major Professor

Mark Stewart, Ph.D.

Committee Member

H. L. Vacher, Ph.D.

Committee Member

Mark Rains, Ph.D.


Parameter estimation, Automated parameter zonation, Aquifer


Residual mapping is an automated groundwater-model calibration technique which rapidly identifies parameter-zone configurations, while limiting tendencies to over-parameterize. Residual mapping analyzes the model residual, or the difference between model-calculated head and spatially-interpolated observation data, for non-random trends. These trends are entered in the model as parameter zones. The values of hydrologic variables in each parameter zone are then optimized, using parameter-estimation software. Statistics calculated by the parameter-estimation software are used to determine the statistical significance of the parameter zones. If the parameter-value ranges for adjacent zones do not have significant overlap, the zones are considered to be valid. This technique was applied to a finite-difference, transient groundwater flow model of a major municipal well field, located in west-central Florida. A computer conde automates the residual mapping process, making it practical for application to large, transient flow models. The calibration data set includes head values from 37 monitor wells over a period of 181 days, including a 96-day well-field scale aquifer-performance test. The transient residual-mapping technique identified five significant transmissivity zones and one leakance zone.