Record Display for the EPA National Library Catalog

RECORD NUMBER: 27 OF 175

OLS Field Name OLS Field Data
Main Title Development of Water Quality Models Using Spectral Analysis and Parameter Estimation Techniques.
Author Fan, L.T. ; Williams., Owen O. ;
CORP Author Kansas Water Resources Research Inst., Manhattan.
Year Published 1974
Report Number Contrib-140; DI-14-31-0001-3282; OWRR-B-021-KAN; W74-08936 ; OWRR-B-021-KAN(8)
Stock Number PB-232 986
Additional Subjects Rivers ; Spectrum analysis ; Water quality ; Mathematical models ; Cross correlation ; Covariance ; Autocorrelation ; Biochemical oxygen demand ; Temperature ; Flow rate ; Dissolved gases ; Oxygen ; Coliform bacteria ; Ohio River ; Detroit River ; Coosa River ; Missouri River ; Water quality data ; Parameter estimation
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB-232 986 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 87p
Abstract
This research was concerned with the analysis and interpretation of water quality data in order to develop improved mathematical models for predicting water quality. Spectral analysis was employed to analyze water quality data from the Coosa, Detroit, Missouri and Ohio rivers. Mathematical models were developed to represent the processes taking place in the stream. Parameter estimation techniques were used to determine the value of the constants and the parameters in the model equations. The study also included (1) estimation of missing values in water quality data, (2) experimental simulation of thermal discharge monitoring and application of spectral analysis techniques, (3) compilation of water quality data and parameters from Kansas rivers and streams, (4) identification of parameters in transient water quality models from stochastic data, and (5) evaluation of methods for estimating stream water quality parameters in a transient model from stochastic data. (Modified author abstract)