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Significant drinking water contamination events pose a serious threat topublic and environmental health. Water utilities often must make timely,critical decisions without evaluating all facets of the incident. The dataneeded to enact informed decisions are inevitably dispersant and disparate,originating from policy, science, and heuristic contributors. Water Expert is afunctioning hybrid decision support system (DSS) and expert system frameworkthat emphasizes the meshing of parallel data structures in order to expediteand optimize the decision pathway. Delivered as a thin-client applicationthrough the user's web browser, Water Expert's extensive knowledgebase is a product ofinter-university collaboration that methodically pieced together systemdecontamination procedures. Decontamination procedures are investigatedthrough consultation with subject matter experts, literature review, andprototyping with stakeholders. This paper discusses the development ofWater Expert, analyzing the development process underlying the DSS and the system'sexisting architecture specifications. Water Expert constitutes the first system toemploy a combination of deterministic and heuristic models which providedecontamination solutions for water distribution systems. Results indicatethat the decision making process following a contamination event is amulti-disciplinary effort. This contortion of multiple inputs and objectiveslimit the ability of the decision maker to find optimum solutions withouttechnological intervention

drinking water engineering and science

&amp;lt;i&amp;gt;Water Expert&amp;lt;/i&amp;gt;: a conceptualized framework for development of a rule-based decision support system for distribution system decontamination