Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Guidelines for assessing the quality of life-cycle inventory data {microfiche}
Author Bakst, J. S. ; Lacke, C. J. ; Weitz, K. A. ; Warren, J. L.
Other Authors
Author Title of a Work
Bakst, Jodi S.
Wynn, Lynda.
Lee, Eugene.
CORP Author Research Triangle Inst., Research Triangle Park, NC.;Environmental Protection Agency, Washington, DC. Office of Solid Waste.
Publisher United States Environmental Protection Agency, Solid Waste and Emergency Response,
Year Published 1995
Report Number EPA-68-D1-0118; EPA-68-D2-0065; RTI-94U-5290-49-FR; RTI-94U-5810-49-FR; EPA/530/R-95/010
Stock Number PB95-191235
Subjects Data processing--Quality control
Additional Subjects Inventory analysis ; Waste streams ; Service life ; Life(Durability) ; Environmental impact assessments ; Solid wastes ; Air pollution ; Water pollution ; Emissions ; Effluents ; Waste management ; Raw materials ; Data collection ; Data analysis ; Data quality ; Sensitivity analysis ; Uncertainty analysis ; Life cycle assessment ; Life cycle inventory
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB95-191235 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 01/01/1988
Collation 1 v. (various pagings) : ill. ; 28 cm.
The document focuses on the inventory analysis component of life-cycle assessment (LCA). Inventory analysis is the identification and quantification of raw materials and energy inputs, air emissions, water effluents, solid waste, and other life-cycle inputs and outputs. Chapter 1 introduces the topic. Chapter 2 identifies key issues that make life-cycle inventory (LCI) unique, reviews data sources and data types used in LCI, and discusses potential problems with data quality. Chapter 3 provides a detailed discussion of the steps involved in building the LCI and discusses where and how data quality can be evaluated. Chapter 4 explains the concepts behind sensitivity and uncertainty analysis methodologies and their applicability to LCI data. Chapter 5 discusses some alternatives for handling missing or deficient data and summarizes existing data compensation techniques. Appendices include data quality indicators and a bibliography.
"Prepared for Lynda Wynn, Eugene Lee, Office of Solid Waste." "March 1995." "EPA530-R-95-010"--Cover. "EPA Contract Number 68-D2-0065, RTI Project Number 94U-5810-49 FR." "PB95-191235"--Cover. Includes bibliographical references. Microfiche.