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 |
|
CORP Author |
McLay (Richard W.), Essex Junction, Vt.;National Environmental Research Center, Corvallis, Oreg. |
Publisher |
U.S. Environmental Protection Agency, Office of Research and Development, National Environmental Research Center, |
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 |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
EJBD |
EPA 660-3-75-037 |
|
Headquarters Library/Washington,DC |
12/14/2013 |
ELBD ARCHIVE |
EPA 660-3-75-037 |
Received from HQ |
AWBERC Library/Cincinnati,OH |
10/04/2023 |
ELBD |
EPA 660-3-75-037 |
|
AWBERC Library/Cincinnati,OH |
04/25/1998 |
NTIS |
PB-246 250 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
v, 157 pages : illustrations, figures, tables ; 28 cm |
Abstract |
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. |
Notes |
"June 1975." U.S. Environmental Protection Agencyt Contract No. Contract Number: 68-03-0439, Program Element 1BA032, ROAP/Task no. 21 AJH/35. Includes bibliographical references (page 25). |