Acknowledgements
Thank you to Ms. Barbara Huberty of the City of Rochester, Minnesota, Public Works Department, for providing initial research materials and the associated GIS data. Thanks to Dr. David McConville, Mr. John Ebert, and Mr. Patrick Thorsell in the Resource Analysis Department of Saint Mary’s University of Minnesota for their ongoing support with this project. Peers at GeoSpatial Services of Saint Mary’s University gave additional ideas and encouragement. I appreciate all of your guidance to help produce this mutually beneficial project.
A possible solution to better map potential surface water infiltration is a compromise between the two models. Since most error in the infiltration model is derived from slope the inverse of the runoff model can determine where infiltration does or does not occur. Two separate intersections of steep slopes and impervious surfaces extracts restrictions in infiltration on the Runoff Model to indicate levels of potential infiltration.