| Application of multi-objective optimization algorithms in Continuous Streamflow Modelling of a Mountain Subcatchment |
| کد مقاله : 1083-NAEC |
| نویسندگان |
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باقر ذهبیون * دانشیار دانشگاه علم و صنعت تهران |
| چکیده مقاله |
| Appropriate prediction of streamflow at mountain regions poses substantial challenges to any hydrological modeling system. In SarouqChay Subcatchment, the rainfall-runoff process is typically rapid; thus, a key approach for a successful simulation is how to reduce the errors in simulation. The focus of this study is using a multi objective parameter estimation approach for a semi-distributed hydrologic model such as ARNO). This sub-catchment was selected for study which is located in the Karun River southwestern Iran. The use of this model as well as the multi-objective optimization algorithm approach can be justifiable for estimating optimal parameters in the sub-catchments of the region. Therefore, the ARNO model is coupled with the three multi-objective optimization algorithm (NSGA-II, SPEA-II and MOPSO) to calibrate fifteen hydrological parameters. The ARNO parameter values largely depend on the variability of streamflow records and the simplicity of the lumped formulation. The Kalai-Smorodinsky method was used to select an optimal solution from optimal pareto front. The results showed that the NSGA-II had a good performance for simulating outflow runoff from the SaruqChay sub-catchment. For the calibration period using the NSGA-II method, the values of R2 and the Nash-Sutcliff coefficient were obtained as 0.73 and 0.70, respectively. In addition, for the validation period using the calibrated parameters, the values of R2 and the Nash-Sutcliff coefficient were obtained as 0.77 and 0.75, respectively. |
| کلیدواژه ها |
| Parameter calibration, ARNO, MOPSO, NSGA-II, SPEA-II, Continuous Simulation, Mountainous Subcatchment |
| وضعیت: پذیرفته شده برای ارائه شفاهی |
