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Abstract
Spatial Clustering- Techniques for Managing the Ogallala Aquifer in Kansas
Track: Water Resources
Author(s): Blake Wilson, Jeremy Bartley, Bruce Maxwell
The Ogallala Aquifer in western Kansas represents the primary source of water for almost all uses. The heterogeneity of the aquifer in terms of water availability, accessibility, and use demands embodies a significant management challenge. Recent efforts to develop sustainable water management strategies have lead to the recommendation that aquifer be managed through localized aquifer subunits. To assist in the delineation of these common sub-areas, GIS and LoiczView, a k-means statistical clustering routine developed at Swarthmore College, are being used to preliminarily classify potential management subunits based on the statistical variance occurring within and between multiple characteristics of the aquifer.
Blake Wilson
Kansas Geological Survey
Geohydrology Section
1930 Contant Ave
Lawrence , KS 66047-3726
USA
Phone: 785-864-2118
Fax: 785-864-5317
E-mail: bwilson@kgs.ku.edu
Jeremy Bartley
Kansas Geological Survey
Data Access and Support Center
1930 Constant Ave
Lawrence 66047-3726
USA
Phone: 785-864-2126
Fax: 785-864-5317
E-mail: jbartley@kgs.ku.edu
Bruce Maxwell
Swarthmore College
Department of Engineering
500 College Ave
Swarthmore , 19081
USA
Phone: 610-328-8081
E-mail: maxwell@swarthmore.edu