Record Display for the EPA National Library Catalog

RECORD NUMBER: 457 OF 3191

OLS Field Name OLS Field Data
Main Title Assessment of the Environmental Implications of Project Independence.
Author Lambie, F. ; Allen., M. ;
CORP Author Energy Resources Co., Inc., Cambridge, Mass.;Environmental Protection Agency, Washington, D.C. Office of Planning and Evaluation.
Year Published 1976
Report Number EPA-68-01-2823;
Stock Number PB-259 660
Additional Subjects Environmental impacts ; Toxicity ; Assessments ; Mathematical models ; Water pollution ; Air pollution ; Scenarios ; Error analysis ; Forecasting ; Wildlife ; Comparisons ; Uranium ; Combustion products ; Exhaust emissions ; Fuels ; Electric power plants ; Industrial wastes ; Particles ; Nitrogen oxides ; Sulfur oxides ; Carbon monoxide ; Hydrocarbons ; Project independence ; Energy development ; Energy demand ; Energy supplies ; Solid wastes
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB-259 660 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 272p
Abstract
An environmental residuals technique was developed to quantitatively evaluate the environmental implications of Project Independence. Three models are discussed that compare the regional impacts of different scenarios of energy development: a Residual Allocation Model to predict the quantity and distribution of 15 energy-associated pollutant loadings, a Water Use Model to assess the compatibility of water available and water required for projected energy use, and an Air Quality Model to compare the impacts of the scenarios on ambient air quality. The approach is useful for scenario comparison, but is limited in degree of detail and absolute accuracy. It is concluded that the level of control technology achieved is more critical environmentally than the choice of scenarios. Further work should include a refinement and extension of the residuals studied and a more detailed sensitivity analysis, especially with respect to control technology and facility siting assumptions.