Sensitivity analysis (SA) evaluates the impact of changes in model parameters on model predictions. Such an analysis is commonly used when developing or applying environmental models to improve the understanding of underlying system behaviours and the impact and interactions of model parameters. The novelty of this paper is a geo-referenced visualization of sensitivity indices for model parameters in a combined sewer model using geographic information system (GIS) software. The result is a collection of maps for each analysis, where sensitivity indices (calculated for model parameters of interest) are illustrated according to a predefined symbology. In this paper, four types of maps (an uncertainty map, calibration map, vulnerability map, and design map) are created for an example case study. This article highlights the advantages and limitations of GIS-based SA of sewer models. The conclusion shows that for all analyzed applications, GIS-based SA is useful for analyzing, discussing and interpreting the model parameter sensitivity and its spatial dimension. The method can lead to a comprehensive view of the sewer system.
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Research Article|
April 01 2012
GIS-based applications of sensitivity analysis for sewer models
M. Mair;
1Hydro-IT GmbH, Technikerstr. 13, 6020 Innsbruck, Austria
E-mail: [email protected]
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R. Sitzenfrei;
R. Sitzenfrei
2Unit of Environmental Engineering, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
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M. Kleidorfer;
M. Kleidorfer
2Unit of Environmental Engineering, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
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M. Möderl;
M. Möderl
2Unit of Environmental Engineering, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
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W. Rauch
W. Rauch
2Unit of Environmental Engineering, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
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Water Sci Technol (2012) 65 (7): 1215–1222.
Article history
Received:
April 01 2011
Accepted:
November 07 2011
Citation
M. Mair, R. Sitzenfrei, M. Kleidorfer, M. Möderl, W. Rauch; GIS-based applications of sensitivity analysis for sewer models. Water Sci Technol 1 April 2012; 65 (7): 1215–1222. doi: https://doi.org/10.2166/wst.2012.954
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