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RECORD NUMBER: 12 OF 351

OLS Field Name OLS Field Data
Main Title Analysis, Modeling and Forecasting of Stochastic Water Quality Systems. Volume I.
Author Le, E. Stanley ;
CORP Author Kansas Water Resources Research Inst., Manhattan.
Year Published 1972
Report Number Contrib-110-1; DI-14-31-0001-3516; OWRR-A-048-KAN; 02823,; A-048-KAN(1)
Stock Number PB-226 566
Additional Subjects Water quality ; Forecasting ; Mathematical models ; Time series analysis ; Water pollution ; Spectrum analysis ; Potomac River ; Ontario River ; Stochastic processes ;
Holdings
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NTIS  PB-226 566 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 284p
Abstract Estimating the response of a river or stream to any proposed pollution abatement action is one of the most complex problems facing the sanitary engineer. In this work, recently developed modeling and forecasting techniques such as invariant imbedding, optimal and nonlinear filtering, and time series analysis are applied to the modeling, estimation, and forecasting of stochastic water quality streams. It is shown that these schemes and models will enable community planners to improve their planning, design, and operation of waste treatment and water supply and demand problems. In Volume I, the modeling and forecasting of stream quality by time series analysis and spectral estimation are discussed.
Supplementary Notes See also Volume 2, PB-226 567.
Highlights Notes In two volumes applies invariant imbedding, optimal and nonlinear filtering, and time series analysis to enable planners to improve design and operation of waste treatment problems.
NTIS Title Notes Project completion rept. 1 Jul 71-30 Jun 72.
PUB Date Free Form Jul 72,
Category Codes 13B; 68D#; 48B
NTIS Prices PC A13/MF A01
Document Type NT
Cataloging Source NTIS/MT
Control Number 326570802
Origin NTIS
Type CAT