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Parallel Processes in Hydrology and Water Quality: A Unified Time-Series Approach.

Young, P. C. (1992) Parallel Processes in Hydrology and Water Quality: A Unified Time-Series Approach. Water and Environment Journal, 6 (6). pp. 598-612.

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Abstract

Most well-known time-series methods treat the system as a univariate, bivariate or multivariate 'black box'whose parameters provide a convenient and concise description of the data. This is in contrast to physically based, mechanistic models, whose parameters normally have an identifiable physical interpretation. The present paper describes a unified 'data-based mechanistic'approach to the modelling of dynamic systems from time-series data using continuous or discrete-time transfer function models in the time derivative, backward shift or delta operator. This approach, which exploits recursive methods of parameter estimation, represents a useful compromise between the physically based methods of mechanistic modelling and the 'black box'methods of time-series analysis. It provides a powerful tool for the objective investigation of environmental dynamic systems when time-series data are available for analysis. Its practical potential is illustrated by several real examples concerned with the objective investigation of parallel processes in hydrology and water quality.

Item Type: Article
Journal or Publication Title: Water and Environment Journal
Uncontrolled Keywords: Active mixing volume • dynamic systems • model order identification • rainfall-flow processes • recursive estimation • serial and parallel processes • solute transport in soils • time-series analysis • transfer function models
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 21104
Deposited By: Mrs Yaling Zhang
Deposited On: 06 Jan 2009 09:36
Refereed?: No
Published?: Published
Last Modified: 26 Jul 2012 15:43
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/21104

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