Support System for Environmental Decision Making


Project's Description:

This project started several years ago. Initially, it involved the use of machine learning programs to model an existing algorithm for selecting between mathematical models for simulating groundwater contaminant transport phenomena. The algorithm has been developed at a part of a comprehensive advisory system since 1988 by Prof. Medina and his colleagues at Duke University. Since then, the algorithm has been deployed as part of a comprehensive advisory system in the Ground Water Section, State of North Carolina, the U.S. Air Force through the Armstrong Laboratory, Tyndall, ABF, FL, and the U.S. Army Corp of Engineers Waterways Experiment Station, MI.

Through the use of machine learning programs such as IND, CN2, and FOIL, we were able to model the algorithm and debug it. Since then, we have used the same procedure to model improved versions of the algorithm. The results of this study are summarized in:

To read more about the advisory system and other topics related to contaminant transport, infrastructure rehabilitation, site remediation, and risk assessment related to groundwater, go to the Laboratory for Contaminant Hydrology Systems Simulation and Decision Making , Duke University (page under construction).

Presently, we are expanding the scope of the study to design a comprehensive environmental decision making that will take into account many more issues. More about this research will be available here in the future.

If you have any comments or questions, please send me a message.
Last modified by Yoram Reich on September 15, 1995