Application of the Morris algorithm for sensitivity analysis if the REALM model for the Goulburn Irrigation System

Schreider, S and Braddock, R 2006, 'Application of the Morris algorithm for sensitivity analysis if the REALM model for the Goulburn Irrigation System', Environmental Modeling and Assessment, vol. 11, no. 4, pp. 297-313.


Document type: Journal Article
Collection: Journal Articles

Title Application of the Morris algorithm for sensitivity analysis if the REALM model for the Goulburn Irrigation System
Author(s) Schreider, S
Braddock, R
Year 2006
Journal name Environmental Modeling and Assessment
Volume number 11
Issue number 4
Start page 297
End page 313
Total pages 16
Publisher Springer-Verlag
Abstract The REALM modelling shell is widely used in Australia as a water allocation modelling tool. It has been used to develop the Goulburn System Model (GSM) of the Goulburn, Broken, Loddon and Campaspe Rivers in northeastern Victoria. REALM represents the river and irrigation system as a network of storages and carriers. The model has been optimised to best represent the water harvesting and allocation for use by water management authorities. The model is analysed to assess the sensitivity of a subset of the model outputs, to a subset of the system parameters. The New Morris algorithm uses sampling paths generated in the space of the parameters, to generate points at which the model is run (to generate the model outputs). These model runs are then used to estimate the first and second-order effects of the parameters on the outputs. The results illustrate the mild linkage of the Goulburn and Broken systems, and the Broken system also shows differences between minimum and average outflows. The Goulburn is more sensitive to some of the numerical convergence parameters used in the allocation software, while the Broken is less sensitive to these factors. The numerical convergence factors also lead to important second-order effects.
Subject Operations Research
DOI - identifier 10.1007/s10666-005-9029-z
Copyright notice © Springer 2006
ISSN 1420-2026
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