Open AccessThe Multimedia Environmental Pollutant Assessment System (MEPAS){reg_sign}: Source-term release formulations
Author(s) -
G.P. Streile,
Kelsey Shields,
J.L. Stroh,
Larry M. Bagaasen,
G. Whelan,
John P. McDonald,
Jasha Droppo,
J.W. Buck
Publication year - 1996
Language(s) - English
Resource type - Reports
DOI - 10.2172/435301
Subject(s) - pollutant , hazardous waste , environmental science , documentation , population , component (thermodynamics) , interface (matter) , computer science , environmental engineering , engineering , waste management , environmental health , chemistry , physics , organic chemistry , bubble , maximum bubble pressure method , parallel computing , thermodynamics , programming language , medicine
This report is one of a series of reports that document the mathematical models in the Multimedia Environmental Pollutant Assessment System (MEPAS). Developed by Pacific Northwest National Laboratory for the US Department of Energy, MEPAS is an integrated impact assessment software implementation of physics-based fate and transport models in air, soil, and water media. Outputs are estimates of exposures and health risk assessments for radioactive and hazardous pollutants. Each of the MEPAS formulation documents covers a major MEPAS component such as source-term, atmospheric, vadose zone/groundwater, surface water, and health exposure/health impact assessment. Other MEPAS documentation reports cover the sensitivity/uncertainty formulations and the database parameter constituent property estimation methods. The pollutant source-term release component is documented in this report. MEPAS simulates the release of contaminants from a source, transport through the air, groundwater, surface water, or overland pathways, and transfer through food chains and exposure pathways to the exposed individual or population. For human health impacts, risks are computed for carcinogens and hazard quotients for noncarcinogens. MEPAS is implemented on a desktop computer with a user-friendly interface that allows the user to define the problem, input the required data, and execute the appropriate models for both deterministic and probabilistic analyses