An edition of Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99 (2000)

Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99

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Regression analysis and real-time water-quali ...
Victoria G. Christensen, Victo ...
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Last edited by MARC Bot
September 12, 2020 | History
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An edition of Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99 (2000)

Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99

by

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Publish Date
Publisher
U.S. Dept. of the Interior, U.S. Geological Survey
Language
English
Pages
36

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Subjects

Regression analysis, Water quality, Water, Total maximum daily load, Pollution

Places

Kansas, Little Arkansas River

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Edition Availability
Cover of: Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
2000, U.S. Dept. of the Interior, U.S. Geological Survey
in English
  • Not in Library
Cover of: Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
2000, U.S. Department of the Interior, U.S. Geological Survey, Information Services [distributor]
in English
Libraries near you: WorldCat
Cover of: Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
2000, U.S. Department of the Interior, U.S. Geological Survey, Information Services [distributor]
in English
Cover of: Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99
2000, U.S. Department of the Interior, U.S. Geological Survey, Information Services [distributor]
in English
Libraries near you: WorldCat

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Book Details

Edition Notes

Includes bibliographical references (p. 35-38).
"Prepared in cooperation with the City of Wichita, Kansas, as part of the Equus Beds Ground-Water Recharge Demonstration Project."

Published in
Lawrence, Kan
Series
Water-resources investigations report ;, 00-4126

Classifications

Dewey Decimal Class
553.7/0973 s, 363.739/42/09781
Library of Congress
GB701 .W375 no. 00-4126, TD224.K3 .W375 no. 00-4126

The Physical Object

Pagination
vi, 36 p. :
Number of pages
36

ID Numbers

Open Library
OL6833446M
LCCN
00327867

Source records

Scriblio MARC record
Library of Congress MARC record
Library of Congress MARC record

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
September 12, 2020 Edited by MARC Bot import existing book
August 10, 2010 Edited by WorkBot merge works
December 14, 2009 Edited by WorkBot link works
April 29, 2009 Edited by ImportBot Found a matching Library of Congress MARC record
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record