Features

• Can assess human and ecological health risks
• Can use measured or predicted (modeled) exposure data
• Can assess existing or future, time-vary (via modeling) exposure/risks
• Can conduct site-specific assessments
• Can conduct screening or comprehensive risk assessment
• Can assess a wide array of multimedia exposure pathways and uptake routes
• Provides much flexibility for describing exposure/risk scenarios
• Allows uncertainty analysis
• Has linkages for downloading Web-based data needed in risk assessment
• Has on-line help and documentation
• Has reference tracking features for documenting inputs to the assessment
• Has tools to assist in generating conceptual site model (CSM)
• Has RAGS tables generator that fills tables with system values for the assessment
• Has a utility for importing files output by the Environmental Data Management Services (EDMS) software, statistical processing of the data through EPA’s ProUCL software (v3.x), and loading the results into the RAGS Tables 2 and 3.
• Has a variety of textual summary, graphical, and statistical output

Primary system components are shown in the figure below.

New Modules/Features in ARAMS 1.4

• The Aquatic Bioaccumulation Model (ABM), which uses BCFs from EPA's EcoTox database
• The Spatially Explicit Exposure Model (SEEM) for wildlife
• The FISHRAND model, which performs probabilistic fish bioaccumulation with migration, attraction, and time/space variations, with food chain uptake
• The Munitions Residue Characterization and Fate Model (MRCFM) which links to the Munition Items Disposition Action System (MIDAS) database
• The Generation II (GENII) V2 and GENII V2 NESHAPs (National Emission Standards for Hazardous Air Pollutants) suite of models used by EPA/ORIA
• The Multibox RECOVERY Model (MBRM)
• Several new generic spreadsheet import modules that are located under the 'Boundary Conditions/User Defined' icon of FRAMES
• Sensitivity analysis has been added to the S/U module
• A joint frequency data (JFD) generation utility for air models
• Startup tips in ARAMS