Evolutionary-based multi-objective meta-model approach for rainfall-runoff model calibration
نویسنده
چکیده
It is well recognized that the multiple objective (MO) approach in the calibration of hydrologic and environmental models offers distinct advantages over the single objective (SO) approach in that the resulted model results can capture the system’s responses better. However, the simulation time required to perform MO calibration is often longer than SO calibration. This makes MO calibration infeasible for complex models or for simulating large catchments/ systems.
منابع مشابه
Automatic Calibration of HEC-HMS Model Using Multi-Objective Fuzzy Optimal Models
Estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. This study aimed to use the particle swarm optimization (PSO) algorithm for automatic calibration of the HEC-HMS hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...
متن کاملA fast Evolutionary-based Meta-Modelling Approach for the Calibration of a Rainfall-Runoff Model
Population-based search methods such as evolutionary algorithm, shuffled complex algorithm, simulated annealing and ant colony search are increasing used as automatic calibration methods for a wide range of water and environmental simulation models. However, despite the advances in computer power, it may still be impractical to rely exclusively on computationally expensive (time consuming) simu...
متن کاملA multi-objective evolutionary approach for integrated production-distribution planning problem in a supply chain network
Integrated production-distribution planning (PDP) is one of the most important approaches in supply chain networks. We consider a supply chain network (SCN) to consist of multi suppliers, plants, distribution centers (DCs), and retailers. A bi-objective mixed integer linear programming model for integrating production-distribution designed here aim to simultaneously minimize total net costs in ...
متن کاملSensitivity Analysis and Automatic Calibration of a Rainfall-Runoff Model Using Multi-objectives
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 t...
متن کاملتعیین پارامترهای مدل مفهومی ناش با استفاده از واسنجی اتوماتیک در حوزه کسیلیان
The appropriate use of a conceptual rainfall-runoff model depends on how well its parameters are calibrated. Generally, rainfall-runoff models deal with numerous parameters that cannot be measured directly and should be estimated through optimization tools. The purpose of the optimization approach is to finalize the best set of parameters associated with a given calibration data set that optimi...
متن کامل