Main Title |
Analysis, Modeling and Forecasting of Stochastic Water Quality Systems. Volume II. |
Author |
Le, E. Stanley ;
|
CORP Author |
Kansas Water Resources Research Inst., Manhattan. |
Year Published |
1972 |
Report Number |
Contrib-110-2; DI-14-31-0001-3516; OWRR-A-048-KAN; 02824,; A-048-KAN(1) |
Stock Number |
PB-226 567 |
Additional Subjects |
Water quality ;
Forecasting ;
Mathematical models ;
Water pollution ;
Stochastic processes ;
Nonlinear programming ;
Algorithms ;
Activated sludge process ;
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB-226 567 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
227p |
Abstract |
In Volume II, optimal filtering and estimation is used for water quality modeling and prediction. Since complex water quality systems are generally nonlinear, nonlinear estimation and filtering techniques are emphasized. They generally can be classified as Kalman filters, minimum variance estimator, maximum liklihood (Bayessain) estimator, and maximum a posteriori estimator. Because of computational difficulties, almost all the nonlinear filters are approximations. These various filters are applied to a typical water quality problem. The advantages and disadvantages of the various filters are compared based on the computational results. |
Supplementary Notes |
See also Volume 1, PB-226 566. |
NTIS Title Notes |
Project completion rept. 1 Jul 71-30 Jun 72. |
PUB Date Free Form |
Aug 72, |
Category Codes |
13B; 68D; 48B |
NTIS Prices |
PC A11/MF A01 |
Document Type |
NT |
Cataloging Source |
NTIS/MT |
Control Number |
326570811 |
Origin |
NTIS |
Type |
CAT |