Applications of system identification and parameter estimation in water quality modelling

Beck M B (1980). Applications of system identification and parameter estimation in water quality modelling. In: Hvdrological forecasting-Prévisions hydrologiques. pp. 123-131 International Association of Hydrological Science.

[img]
Preview
Text
Applications of system identification and parameter estimation in water quality modelling.pdf - Published Version
Available under License Creative Commons Attribution.

Download (809kB) | Preview

Abstract

Applications of techniques of system identification and parameter estimation in water quality modelling are surveyed. This survey of the literature covers three areas: river water quality, lake water quality, and waste water treatment plant modelling. The applications cited are classified according to the type of algorithm used for calibration, the type of model, and the field data used. Two broad distinctions are made between: (1) off-line and recursive methods of parameter estimation; and (2) internally descriptive (state-space) and black box (input-output) model types. To assist the classification, a number of estimation algorithms are very briefly introduced. Although there are clearly different lines of development in each area of water quality modelling, it is possible to identify problems common to all three areas. The major problems discussed concern the availability of field data, levels of noise in the data, and model structure identification.

Item Type: Book Section
Depositing User: Luke Kirwan
Date Deposited: 16 Aug 2016 07:55
Last Modified: 16 Aug 2016 07:55
URI: http://pure.iiasa.ac.at/13717

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313