Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
Mathematics and Computers in Simulation - IMACS sponsored Special issue on the second IMACS seminar on Monte Carlo methods
Autocalibration in hydrologic modeling: Using SWAT2005 in small-scale watersheds
Environmental Modelling & Software
Management Option Rank Equivalence (MORE) - A new method of sensitivity analysis for decision-making
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
Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis
Environmental Modelling & Software
Environmental Modelling & Software
A sensitivity study of the WRF model in wind simulation for an area of high wind energy
Environmental Modelling & Software
Environmental Modelling & Software
Sensitivity analysis of the MAGFLOW Cellular Automaton model for lava flow simulation
Environmental Modelling & Software
Review: Three complementary methods for sensitivity analysis of a water quality model
Environmental Modelling & Software
Environmental Modelling & Software
Estimating Sobol sensitivity indices using correlations
Environmental Modelling & Software
Sampling strategies in density-based sensitivity analysis
Environmental Modelling & Software
Position paper: Characterising performance of environmental models
Environmental Modelling & Software
A long-term sensitivity analysis of the denitrification and decomposition model
Environmental Modelling & Software
The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making
Environmental Modelling & Software
Environmental Modelling & Software
Application of a combined sensitivity analysis approach on a pesticide environmental risk indicator
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Hi-index | 0.00 |
Complex environmental models are controlled by a high number of parameters. Accurately estimating the values of all these parameters is almost impossible. Sensitivity analysis (SA) results enable the selection of the parameters to include in a calibration procedure, but can also assist in the identification of the model processes. Additionally, a sensitivity analysis can yield crucial information on the use and meaning of the model parameters. This paper presents a Sobol' sensitivity analysis for flow simulations by a SWAT model of the river Kleine Nete, with the objective to assess the first order, second order and total sensitivity effects. Confidence intervals for the resulting sensitivity indices are inferred by applying bootstrapping. The results indicate that the curve number value (CN2) is the most important parameter of the model and that no more than 9 parameters (out of 26) are needed to have an adequate representation of the model variability. The convergence of the parameter ranking for total sensitivity effects is relatively fast, which is promising for factor fixing purposes. It is also shown that the Sobol' sensitivity analysis enhances the understanding of the model, by e.g. pointing out 3 significant pairwise interactions. In general, it can be concluded that the Sobol' sensitivity analysis can be successfully applied for factor fixing and factor prioritization with respect to the input parameters of a SWAT model, even with a limited number of model evaluations. The analysis also supports the identification of model processes, parameter values and parameter interaction effects.