Structural uncertainty in a river water quality modelling system

Karl-Erich Lindenschmidt, Katrin Fleischbein and Martina Baborowski

Ecological Modelling, 2007, vol. 204, issue 3, 289-300

Abstract: There are many sources of uncertainty in modelling systems including uncertainty due to parameter estimations, input data and structure of the system. In this paper, modelling system structure is understood to be the algorithms and equations used to describe and calculate processes. Specific attention is given to the uncertainty in the equations, which link models interactively in a modelling system and algorithms, which pass information between the models. This paper places emphasis on structural uncertainty in modelling systems since this topic has received very little attention in research compared to the wealth of literature on parameter and input data uncertainty. This imbalance is partly due to the difficulty in quantifying structural uncertainty and an example is given showing how this may be done.

Keywords: HLA; Monte Carlo uncertainty analysis; Saale River; Structural model uncertainty; Water quality modelling; WASP5 (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:204:y:2007:i:3:p:289-300

DOI: 10.1016/j.ecolmodel.2007.01.004

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