Recursive estimation: A unified approach to the identification, estimation, and forecasting of hydrological systems
type: Item
instance of: scholarly article
title: Recursive estimation: A unified approach to the identification, estimation, and forecasting of hydrological systems
zbMATH Open document ID: 0583.93058
DOI: 10.1016/0096-3003(85)90039-6
author: B. George
published in: Applied Mathematics and Computation
publication date: 1985-01-01T00:00:00Z
review text: Mathematical models of hydrological and water-resource systems have been formulated in many different ways and with various levels of complexity. There are advantages to be gained, therefore, by trying to unify some of the more common models within a statistical framework which will allow for more objective methods of model calibration. In this paper, we consider the general class of linear, dynamic models, as applied to the characterisation of flow and dispersion behavior in rivers, and show how these can be unified within the context of recursive time-series analysis and estimation. This allows not only for more objective, data-based approaches to stochastic model structure identification, but also for improved statistical estimation and the development of both constant parameter and self-adaptive, Kalman-filter-based forecasting procedures. The unified approach presented in the paper is being applied successfully in other environmental areas, such as soil science, climatic data analysis, meterological forecasting, and plant physiology.
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 92D40
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 76Z99
Mathematics Subject Classification ID: 91B76
Mathematics Subject Classification ID: 93C05
Mathematics Subject Classification ID: 93E12
zbMATH DE Number: 3934903
zbMATH Keywords: hydrological and water-resource systems
zbMATH Keywords: recursive time-series analysis and estimation
zbMATH Keywords: stochastic model structure identification
zbMATH Keywords: forecasting procedures
MaRDI profile type: Publication
full work available at URL: 0096-3003(85)90039-6
OpenAlex ID: W1986908562
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description: scientific article; zbMATH DE number 3934903