Analysing the sensivity behaviour of two hydrology models

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Title Analysing the sensivity behaviour of two hydrology models
Author Matthews, Christopher John; Newton, David Brooke; Braddock, Roger David; Yu, Bofu
Journal Name Environmental Modeling and Assessment
Year Published 2007
Place of publication Netherlands
Publisher Springer Netherlands
Abstract Recently, the New Morris Method has been presented as an effective sensitivity analysis tool for mathematical models. The New Morris Method estimates the sensitivity of an output parameter to a given set of input parameters (first-order effects) and the extent these parameters interact with each other (second-order effects). This method requires the specification of two parameters (runs and resolution) that control the sampling of the output parameter to determine its sensitivity to various inputs. The criteria for these parameters have been set on the analysis of a well-behaved analytical function (see Cropp and Braddock, Reliab. Eng. Syst. Saf. 78:77–83, 2002), which may not be applicable to other physical models that describe complex processes. This paper will investigate the appropriateness of the criteria from (Cropp and Braddock, 2002) and hence the effectiveness of the New Morris Method to determine the sensitivity behaviour of two hydrologic models: the Soil Erosion and Deposition System and Griffith University Representation of Urban Hydrology. In the first case, this paper will separately analyse the sensitivity of an output parameter on a set of input parameters (first- and second-order effects) for each model and discuss the physical meaning of these sensitivities. This will be followed by an investigation into the sampling criteria by exploring the convergence of the sensitivity behaviour for each model as the sampling of the parameter space is increased. By comparing these trends to the convergence behaviour from Cropp and Braddock (2002), we will determine how well the New Morris Method estimates the sensitivity for each model and whether the sampling criteria are appropriate for these models. It will be shown that the New Morris Method can provide additional insight into the functioning of these models, and that, under a different metric, the sensitivity behaviour of these models does converge confirming the sampling criteria set by Cropp and Braddock.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1007/s10666-006-9049-3
Volume 12
Issue Number 1
Page from 27
Page to 41
ISSN 1420-2026
Date Accessioned 2007-06-28
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Environmental Engineering Modelling
URI http://hdl.handle.net/10072/18272
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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