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. © 2010 Springer-Verlag.
| Original language | English |
|---|---|
| Title of host publication | Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings |
| Pages | 90-99 |
| Number of pages | 10 |
| Volume | 6276 LNAI |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems - Cardiff, United Kingdom Duration: 8 Sep 2010 → 10 Sep 2010 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 6276 LNAI |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems |
|---|---|
| Abbreviated title | KES 2010 |
| Country | United Kingdom |
| City | Cardiff |
| Period | 8/09/10 → 10/09/10 |
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Keywords
- Calibration and Validation
- Multi-objective Optimisation
- Optimisation
- Sensitivity Analysis
Cite this
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Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives. / Sun, Fan; Liu, Ya.
Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. Vol. 6276 LNAI PART 1. ed. 2010. p. 90-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6276 LNAI, No. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives
AU - Sun, Fan
AU - Liu, Ya
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. © 2010 Springer-Verlag.
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. © 2010 Springer-Verlag.
KW - Calibration and Validation
KW - Multi-objective Optimisation
KW - Optimisation
KW - Sensitivity Analysis
U2 - 10.1007/978-3-642-15387-7_13
DO - 10.1007/978-3-642-15387-7_13
M3 - Conference contribution
SN - 3642153860
SN - 9783642153860
VL - 6276 LNAI
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
ER -