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Related Experiment Video

Updated: May 23, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

GIS-based applications of sensitivity analysis for sewer models.

M Mair¹, R Sitzenfrei, M Kleidorfer

¹Hydro-IT GmbH, Technikerstr. 13, Innsbruck, Austria. Michael.Mair@uibk.ac.at

Water Science and Technology : a Journal of the International Association on Water Pollution Research

|March 23, 2012

Summary

This study introduces geo-referenced sensitivity analysis (SA) for combined sewer models using GIS. Visualizing parameter sensitivity on maps enhances understanding of sewer system behavior and parameter interactions.

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Area of Science:

Environmental modeling
Geographic Information Systems (GIS)
Water resource management

Background:

Sensitivity analysis (SA) is crucial for understanding environmental model parameters and their impact on predictions.
Current SA methods often lack spatial context, limiting comprehensive analysis of complex systems like combined sewers.

Purpose of the Study:

To develop and demonstrate a novel geo-referenced visualization technique for sensitivity analysis in combined sewer models.
To integrate Geographic Information System (GIS) software for mapping model parameter sensitivity.

Main Methods:

Implemented a GIS-based approach to visualize sensitivity indices for combined sewer model parameters.
Generated four types of sensitivity maps: uncertainty, calibration, vulnerability, and design maps for a case study.

Main Results:

Successfully created geo-referenced maps illustrating sensitivity indices for various model parameters.
Demonstrated the utility of these maps in analyzing the spatial dimension of parameter sensitivity.

Conclusions:

GIS-based SA provides a powerful tool for interpreting and discussing model parameter sensitivity within sewer systems.
This method offers a comprehensive spatial perspective, improving the understanding and management of combined sewer systems.