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OLS Field Name OLS Field Data
Main Title Evaluation of sediment transport models and comparative application of two watershed models [electronic resource] /
Author Kalin, Latif. ; Kalin, L. ; Hantush, M. M.
Other Authors
Author Title of a Work
Hantush, Mohamed M.
CORP Author Oak Ridge Inst. for Science and Education, Cincinnati, OH.;National Risk Management Research Lab., Cincinnati, OH. Office of Research and Development.
Publisher U. S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory,
Year Published 2003
Report Number EPA/600/R-03/139
Stock Number PB2005-102035
Subjects Sediment transport. ; Rivers. ; Computer software.
Additional Subjects Sediment transport ; Watersheds ; Mathematical models ; Clean water acts ; Suspended solids ; Best practices ; Erosion ; Computerized simulation ; Sediment models ; TMDL(Total maximum daily load) ; BMP(Best management practices)
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=2000E72Z.PDF
http://www.epa.gov/nrmrl/pubs/600r03139/600r03139.pdf
Abstract http://www.epa.gov/nrmrl/pubs/600r03139/600r03139.htm
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2005-102035 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 05/04/2005
Collation 1 online resource (viii, 73 p.) : ill., charts, digital, PDF file.
Abstract Suspended solids and sediments are regarded as the two leading pollutants of the nations's streams and waterbodies. They serve as carriers for various pesticides, radioactive materials, and nutrients. Section 303(d) of the 1972 Clean Water Act requires states, territories, and authorized tribes to identify and list impaired waters every two years and to develop Total Maximum Daily Loads (TDMLs) for pollutants in these waters. Mathematical models are widely accepted, effective and powerful tools for TMDL development, and evaluating performances of Best Management Practices (BMP). In this paper, a probabilistic, risk-based mathematical optimization framework is presented and proposed as a strategy for solving the TDML-BMP problem involving multiple stressors in feature endeavors.
Notes Title from title screen viewed Dec. 7, 2010). "EPA/600/R-03/139." "September 2003." Includes bibliographical references (p.45-47).
Place Published Cincinnati, Ohio
Supplementary Notes This document is color dependent and/or in landscape layout. It is currently available on CD-ROM and paper only. CD-ROM contains a 81 page document. Sponsored by National Risk Management Research Lab., Cincinnati, OH. Office of Research and Development.
Availability Notes Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA.
Access Notes Mode of access: World Wide Web.; System requirements: Adobe Acrobat Reader.
Corporate Au Added Ent Oak Ridge Institute for Science and Education.; National Risk Management Research Laboratory (U.S.)
PUB Date Free Form 2003
Category Codes 68D; 48G; 50B; 62B
NTIS Prices PC A06
BIB Level m
Medium electronic resource
Cataloging Source OCLC/T
Control Number 010300150
OCLC Time Stamp 20110318143007
Language eng
Origin NTIS
Type MERGE
OCLC Rec Leader 01610nam 2200397Ia 45020