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Environmental Tools and Radiological Assessment
Citation:
PURUCKER, S. T. Environmental Tools and Radiological Assessment. Presented at European Union PROTECT Working Group, Oslo, NORWAY, January 28 - 29, 2008.
Impact/Purpose:
The overall objective is to develop modeling and decision support capabilities that allow environmental managers and planners to protect, conserve, and restore aquatic habitats and species.
Description:
This presentation details two tools (SADA and FRAMES) available for use in environmental assessments of chemicals that can also be used for radiological assessments of the environment. Spatial Analysis and Decision Assistance (SADA) is a Windows freeware program that incorporates tools from environmental assessment for effective problem-solving. SADA includes integrated modules for GIS, visualization, geospatial analysis, statistical analysis, human health and ecological risk assessment, cost/benefit analysis, sampling design, and decision support. SADA is engineered with an open and highly scaleable environment that allows additional functionality without increase in complexity. The result is a mature infrastructure with considerable capabilities in data management, visualization, statistics, GIS functionality, input/output, and self-documentation for assessment of contaminated sites. Multimedia, Multi-pathway, Multi-receptor Exposure and Risk Assessment (3MRA) technology provides the ability to conduct screening-level risk-based assessment of potential human and ecological health impacts resulting from long term (chronic) exposure to hazardous chemicals released from land-based waste management units (WMUs). The 3MRA integrated modeling system consists of a set of 17 science model components with various post-processing capabilities. 3MRA resides within an underlying modeling system infrastructure called FRAMES. The FRAMES (Framework for Risk Analysis in Multimedia Environmental Systems) modeling infrastructure provides a solid foundation for integrating regulatory support decision tools and provides significant sensitivity and uncertainty analysis capabilities.