WSC '04 Proceedings of the 36th conference on Winter simulation
Environmental Modelling & Software
An effective screening design for sensitivity analysis of large models
Environmental Modelling & Software
Algebraic sensitivity analysis of environmental models
Environmental Modelling & Software
How to avoid a perfunctory sensitivity analysis
Environmental Modelling & Software
Global sensitivity analysis in the development of first principle-based eutrophication models
Environmental Modelling & Software
Sensitivity analysis for complex ecological models - A new approach
Environmental Modelling & Software
Environmental Modelling & Software
Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis
Environmental Modelling & Software
Partial order investigation of multiple indicator systems using variance-based sensitivity analysis
Environmental Modelling & Software
Sobol' sensitivity analysis of a complex environmental model
Environmental Modelling & Software
Short communication: New unstructured mesh water quality model for coastal discharges
Environmental Modelling & Software
Environmental Modelling & Software
The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Global sensitivity analysis of yield output from the water productivity model
Environmental Modelling & Software
Environmental Modelling & Software
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In this paper, sensitivity analysis (SA) has been used to assess model sensitivities to input parameter values in a water quality model. The water quality model incorporates a rainfall-runoff sub-model and a sediment load estimation sub-model, and is calibrated against hydrologic and water quality data from the Moruya River catchment in southeast Australia. The tested methods, One-at-A-Time (OAT), Morris Method (MM) and Regional SA (RSA) are found to be complementary, and help to characterise the behaviour of the water quality model. The most important parameters are plant stress threshold (f), coefficient of evapotranspiration (e), catchment moisture threshold (d), in decreasing order, indicating that sediment and nutrient loads are more sensitive to parameters that affect the magnitude of flows than those (v"s, @t^q, @t^s) that control the timing and shape of the peak in a time series. But this application shows a need to be flexible in the use of different SA techniques. RSA is more appropriate for complex models where system nonlinearities and parameter interactions are more likely to be important. The RSA suggests that f and v"s have strong interactions in the influence on nitrogen estimation. This study is also valuable for future uncertainty analysis, by separating the source of uncertainty of model parameters from the uncertainty in the model inputs.