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UBC Theses and Dissertations

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UBC Theses and Dissertations

A fuzzy expert system for acid rock drainage site remediation Balcita, Judita Veronika

Abstract

This thesis describes the development of an expert system using fuzzy logic-based techniques to deal with the remediation of Acid Rock Drainage contaminated sites. Acid Rock Drainage (ARD) is one of the major environmental challenges faced today by the mining industry. The interdisciplinary nature of ARD, involving biology, chemistry, geology, and mining knowledge is not yet fully understood nor has a viable and permanent solution to the problem been found. Development of a fuzzy expert system for ARD is considered useful in producing a standardized, yet adaptable, approach to the problem which can be used to generate quick advice to the user in a field where expertise is lacking. A fuzzy expert system can deal with missing, inaccurate, or heuristic data. A fuzzy expert system actually thrives on such conditions. Fuzzy sets are defined as the degree of belief in a particular qualitative concept as a function of one or more quantitative values. Rules are developed from these fuzzy sets during interviews with a chosen expert in the field. From user input on site data and site characterization, association within these rules of the degrees of belief in different concepts can flow through the system to generate a decision or conclusion. The system includes a fuzzy controller, separate control modules for treatment options and interactive hypertext documents for user control. The controller and control modules work together to follow the decision-making process of experts in the field in choosing appropriate remediation options for a site of possible or existing ARD. The hypertext documents are set up as user help resources and to provide system output information. They can also serve as teaching aids on treatment of ARD or to obtain better understanding of the possibility of implementing a treatment system. Validation and verification of the system has been carried out by comparing the results obtained for certain specific case studies with those determined by an expert.

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