Impact/Purpose:

The objective of this research is to develop a decision-support system for diagnosing the causes of biological impairment at multiple scales. The decision-support system will be based on conceptual models outlining expected cause-effect relationships involving single and multiple stressors. At the most basic level, this interface will consist of a guide to the use of existing EPA databases, methods, and models. This system will provide States and Regions with a common set of tools for approaching TMDL development and assessing alternative options for watershed restoration. As tools are developed for diagnosis of single or multiple stressors, these will be incorporated into an expert-system framework. Simple empirical relationships between exposure and response indicators will be incorporated, as well as more detailed mechanistically-based models.

Description:

In Phase 1 of this research, we will identify existing tools, methods, and models available to support establishment of cause-effect relationships. In Phase 2, we will investigate existing decision support systems and produce an appropriate decision support system design. Based on the approach chosen, a system framework will be developed and a document produced to instruct collaborators on the intent and use of the decision-support system and to build management support for this system through practical demonstrations of its utility. The technology now exists to produce a computerized, web-based decision support system. The BASINS system supported by OW consolidates a geospatial framework to support a comprehensive diagnostic decision-support system. At present, it is a collection of models and databases organized around a GIS-based computer program. This system will be expanded to include the information and tools produced under this Aquatic Stressors research effort. "Expert system" modules will be added that would lead persons in the Program Offices and State agencies through a guided, rule-based scenario that leads to a diagnosis of the causes of impairment, the development of a TMDL, and recommendations for restoration of remediation. In Phase 3, a team will be formed consisting of research scientists, modelers, computer systems analysts, and WEB page designers to develop and implement the system. During the final stages of development, data, models, and information from selected case studies will be incorporated into the expert system. This would be done in cooperation with the decision personnel associated with the studies and training would be provided along with a guidance document and system documentation.

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