TY - GEN
T1 - Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives
AU - Sun, Fan
AU - Liu, Yang
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Calibration and Validation
KW - Multi-objective Optimisation
KW - Optimisation
KW - Sensitivity Analysis
UR - http://www.scopus.com/inward/record.url?scp=78449239423&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15387-7_13
DO - 10.1007/978-3-642-15387-7_13
M3 - Conference Proceeding
AN - SCOPUS:78449239423
SN - 3642153860
SN - 9783642153860
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 99
BT - Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
T2 - 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
Y2 - 8 September 2010 through 10 September 2010
ER -