Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Improving the statistical reliability of stream heat assimilation prediction /
Author McLay, R. W. ; McLay, Richard W. ; Hundal, Mahendra S. ; Lamborn., Kathleen R.
Other Authors
Author Title of a Work
Hundal, Mahendra S.,
Lamborn, Kathleen R.
CORP Author McLay (Richard W.), Essex Junction, Vt.;National Environmental Research Center, Corvallis, Oreg.
Publisher U.S. Government Printing Office,
Year Published 1975
Report Number EPA-660/3-75-037; EPA-68-03-0439; EPA-ROAP-21AJH-35
Stock Number PB-246 250
OCLC Number 01878048
Subjects Water temperature--Connecticut River--Mathematical models. ; Nuclear power plants--Environmental aspects--Vermont. ; Water temperature--Mathematical models. ; United States--Connecticut River. ; Nuclear power plants--Vermont--Environmental aspects.
Additional Subjects Heat transfer ; Water quality ; Stream pollution ; Temperature ; Mathematical models ; Computerized simulation ; Computer programs ; Nuclear power plants ; Water pollution ; Statistical analysis ; Connecticut River ; Vermont ; Sensitivity analysis ; Thermal pollution
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD ARCHIVE EPA 660-3-75-037 Headquarters Library/Washington,DC 01/11/2011
EJBD  EPA 660-3-75-037 Headquarters Library/Washington,DC 12/14/2013
EKAM  EPA 660/3-75-037 Region 4 Library/Atlanta,GA 01/17/1997
ELBD  EPA 660-3-75-037 AWBERC Library/Cincinnati,OH 04/25/1998
ESBD  EPA-660-3-75-037 CPHEA/PESD Library/Corvallis,OR 09/27/2017
NTIS  PB-246 250 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 01/01/1988
Collation 157 pages : illustrations ; 27 cm.
In response to an increased interest in water quality by the public, a large effort has been mounted to develop mathematical models for predicting heat assimilation in bodies of water. The accuracy of these models has recently come under scrutiny due to the need for temperature predictions within 1C of the ambient. This work is an evaluation of existing, one-dimensional stream temperature prediction techniques for accuracy and precision. The approach is through error estimates on a general model that encompasses all of the models presently used. A sensitivity analysis of this general model is used in conjunction with statistical methods to determine the solution errors.
Contract 68-03-0439; program element 1BA032; ROAP/Task no. 21 AJH/35. Includes bibliographical references (page 25).