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. ISSN 1747-6593

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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:
Journal Article
Journal or Publication Title:
Water and Environment Journal
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/ge
Subjects:
ID Code:
21104
Deposited By:
Users 810 not found.
Deposited On:
06 Jan 2009 09:36
Refereed?:
No
Published?:
Published
Last Modified:
01 Jan 2020 06:20