@inproceedings{9717a8aa6af940cab54f4764cbd869f0,
title = "Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives",
abstract = "The practical experience with sensitivity analysis suggests that no single-objective function is adequate to measure the ways in which the model fails to match the important characteristics of the observed data. In order to successfully measure parameter sensitivity of a numerical model, multiple criteria should be considered. Sensitivity analysis of a rainfall-runoff model is performed using the local sensitivity method (Morris method) and multiple objective analysis. Formulation of SA strategy for the MIKE/NAM rainfall-runoff model is outline. The SA is given as a set of Pareto ranks from a multi-objective viewpoint. The Nondominated Sorting Differential Evolution (NSDE) was used to calibrate the rainfall-runoff model. The method has been applied for calibration of a test catchment and compared on validation data. The simulations show that the NSDE method possesses the ability to finding the optimal Pareto front. {\textcopyright} 2010 Springer-Verlag.",
keywords = "Calibration and Validation, Multi-objective Optimisation, Optimisation, Sensitivity Analysis",
author = "Fan Sun and Ya Liu",
year = "2010",
doi = "10.1007/978-3-642-15387-7_13",
language = "English",
isbn = "3642153860",
volume = "6276 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "90--99",
booktitle = "Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings",
edition = "PART 1",
note = "14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 ; Conference date: 08-09-2010 Through 10-09-2010",
}