Intelligent Design and Remediation of Shallow Landfill Burial Systems

by James C. Ascough, II, (M.ASCE), Purdue Univ, West Lafayette, United States,
Leonard J. Lane, (M.ASCE), Purdue Univ, West Lafayette, United States,
Thomas E. Hakonson, Purdue Univ, West Lafayette, United States,



Document Type: Proceeding Paper

Part of: Computing in Civil Engineering

Abstract:

The SLEUTH (Shallow Landfill Evaluation Using Transport and Hydrology) prototype decision support system (DSS) has been developed for design and remediation of shallow landfill burial systems. SLEUTH is a Microsoft Windows^TM-based application with embedded computer simulation models that ranks feasible landfill designs using multiobjective decision theory. The method combines graphically based scoring (utility) functions and linear programming to rank alternative landfill designs. This ranking is achieved in an objective manner under the guidelines of the decision maker. Testing of SLEUTH using experimental data from landfill cells at Hill Air Force Base near Ogden, Utah has begun.

Subject Headings: Landfills | Computer programming | Computer aided design | Hydrology | Expert systems | Computer models | Computer analysis | Utah | United States

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