Record Display for the EPA National Library Catalog

RECORD NUMBER: 22 OF 24

OLS Field Name OLS Field Data
Main Title Surface water-quality modeling /
Author Chapra, Steven C.
Publisher McGraw-Hill,
Year Published 1997
OCLC Number 34514188
ISBN 0070113645 (alk. paper); 9780070113640 (alk. paper); 0078433061 (disk : alk. paper); 9780078433061 (disk : alk. paper)
Subjects Water quality--Mathematical models. ; Mathematisches Modell. ; Wassergèute.
Internet Access
Description Access URL
http://www.loc.gov/catdir/description/mh022/96015461.html
http://www.loc.gov/catdir/enhancements/fy0737/96015461-b.html
Publisher description http://catdir.loc.gov/catdir/description/mh022/96015461.html
Contributor biographical information http://catdir.loc.gov/catdir/enhancements/fy0737/96015461-b.html
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EHAM  TD365.C48 1997 Region 1 Library/Boston,MA 06/20/1997 STATUS
EIAM  TD365.C48 1997 * New Books * Region 2 Library/New York,NY 10/19/2005
EKCM  TD365.C48 1997 CEMM/GEMMD Library/Gulf Breeze,FL 11/24/2008
EKDM  TD365.C48 1997 CEMM/EPD Library/Athens,GA 10/09/2012 STATUS
ELBM  TD365.C48 1997 AWBERC Library/Cincinnati,OH 03/15/2002
ELDM  TD365.C48 1997 CCTE/GLTED Library/Duluth,MN 11/04/2005
EMBM  TD365.C48 1997 NRMRL/GWERD Library/Ada,OK 05/07/2004
ENAM  TD365.C48 1997 Region 7 IRC Library/Kansas City,KS 04/25/1997
ERAM  TD365.C48 1997 Region 9 Library/San Francisco,CA 06/15/2001
ESAM  TD365.C48 1997 Region 10 Library/Seattle,WA 01/13/2001
Collation xix, 844 p. : ill. ; 25 cm.
Notes
Includes bibliographical references (p. 821-833) and index.
Contents Notes
Surface Water-Quality Modeling presents the wealth of knowledge that Dr. Chapra has acquired through his extensive study and scholarship on surface water quality. The book provides both a thorough introduction to modeling fundamentals along with in-depth descriptions of how a variety of pollutants move and react with a variety of water bodies. Effectively written in a "user-friendly" format, the text facilitates independent learning while balancing traditional analytical models with more recent computer-oriented approaches.