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 1747-6593Full text not available from this repository.
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.
|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|
|Deposited By:||Mrs Yaling Zhang|
|Deposited On:||06 Jan 2009 09:36|
|Last Modified:||11 Apr 2016 01:06|
Actions (login required)