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Parameterization in hydrological models through clustering of the simulation time period and multi-objective optimization based calibration
, Lakshmi G.
Published in Elsevier Ltd
Volume: 138
Distinct calibration for wet and dry periods of the simulation period has resulted in fixed discretization of the simulation periods throughout the year with a repetitive pattern for all the simulation years ignoring the variability of rainfall and soil moisture conditions along time. This may induce anomalies in the water balance of the basin. This study focused on developing a discretization methodology using clustering methods that help eliminate the existing limitations. Subsequently, the clusters are calibrated independently, as well as simultaneous with multiple objectives. The procedure is illustrated through two models viz. SWAT and a grid based model; set up for the US watersheds Cedar Creek, Indiana and Riesel Y2, Texas respectively. The proposed approach resulted in improved stream flow simulations with higher NSE (0.83 in multi-objective; 0.68 in traditional calibration) in Cedar Creek. The simulation of water balance components was found to be more effective in both the basins. © 2021 Elsevier Ltd
About the journal
JournalData powered by TypesetEnvironmental Modelling and Software
PublisherData powered by TypesetElsevier Ltd
Open AccessNo