Computer models used to support cleanup decision-making at hazardous and radioactive waste sites
Abstract
Massive efforts are underway to cleanup hazardous and radioactive waste sites located throughout the US To help determine cleanup priorities, computer models are being used to characterize the source, transport, fate and effects of hazardous chemicals and radioactive materials found at these sites. Although, the US Environmental Protection Agency (EPA), the US Department of Energy (DOE), and the US Nuclear Regulatory Commission (NRC) have provided preliminary guidance to promote the use of computer models for remediation purposes, no Agency has produced directed guidance on models that must be used in these efforts. To identify what models are actually being used to support decision-making at hazardous and radioactive waste sites, a project jointly funded by EPA, DOE and NRC was initiated. The purpose of this project was to: (1) Identify models being used for hazardous and radioactive waste site assessment purposes; and (2) describe and classify these models. This report presents the results of this study.
- Authors:
- Publication Date:
- Research Org.:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE; USEPA; USNRC; USDOE, Washington, DC (United States); Environmental Protection Agency, Washington, DC (United States); Nuclear Regulatory Commission, Washington, DC (United States)
- OSTI Identifier:
- 7256851
- Report Number(s):
- BNL-47775
ON: DE92040575
- DOE Contract Number:
- AC02-76CH00016
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; 11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; RADIOACTIVE WASTE MANAGEMENT; COMPUTER CODES; REMEDIAL ACTION; CLASSIFICATION; HAZARDOUS MATERIALS; INFORMATION DISSEMINATION; MANAGEMENT; MATERIALS; WASTE MANAGEMENT; 052000* - Nuclear Fuels- Waste Management; 054000 - Nuclear Fuels- Health & Safety; 990200 - Mathematics & Computers
Citation Formats
Moskowitz, P. D., Pardi, R., DePhillips, M. P., and Meinhold, A. F. Computer models used to support cleanup decision-making at hazardous and radioactive waste sites. United States: N. p., 1992.
Web. doi:10.2172/7256851.
Moskowitz, P. D., Pardi, R., DePhillips, M. P., & Meinhold, A. F. Computer models used to support cleanup decision-making at hazardous and radioactive waste sites. United States. https://doi.org/10.2172/7256851
Moskowitz, P. D., Pardi, R., DePhillips, M. P., and Meinhold, A. F. 1992.
"Computer models used to support cleanup decision-making at hazardous and radioactive waste sites". United States. https://doi.org/10.2172/7256851. https://www.osti.gov/servlets/purl/7256851.
@article{osti_7256851,
title = {Computer models used to support cleanup decision-making at hazardous and radioactive waste sites},
author = {Moskowitz, P. D. and Pardi, R. and DePhillips, M. P. and Meinhold, A. F.},
abstractNote = {Massive efforts are underway to cleanup hazardous and radioactive waste sites located throughout the US To help determine cleanup priorities, computer models are being used to characterize the source, transport, fate and effects of hazardous chemicals and radioactive materials found at these sites. Although, the US Environmental Protection Agency (EPA), the US Department of Energy (DOE), and the US Nuclear Regulatory Commission (NRC) have provided preliminary guidance to promote the use of computer models for remediation purposes, no Agency has produced directed guidance on models that must be used in these efforts. To identify what models are actually being used to support decision-making at hazardous and radioactive waste sites, a project jointly funded by EPA, DOE and NRC was initiated. The purpose of this project was to: (1) Identify models being used for hazardous and radioactive waste site assessment purposes; and (2) describe and classify these models. This report presents the results of this study.},
doi = {10.2172/7256851},
url = {https://www.osti.gov/biblio/7256851},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 01 00:00:00 EDT 1992},
month = {Wed Jul 01 00:00:00 EDT 1992}
}