Affiliation:
1. Institute of Mediterranean Agricultural and Environmental Sciences (ICAAM), University of Évora, Núcleo da Mitra, Apartado 94, 7002-774 Évora, Portugal
2. Department of Aeronautics and Transports, University Lusófona of Humanities and Technologies, Research Unit DREAMS, Lisbon, Portugal
Abstract
Physically based, spatially distributed hydrological models have mostly been calibrated manually; a few were calibrated automatically but without full consideration of conflicting multi-objectives. Here, we successfully applied the non-dominated sorting genetic algorithm II (NSGA-II) and its two variants, namely the reference point-based R-NSGA-II and the extension ER-NSGA-II, to multi-objective, automatic calibration of the SHETRAN hydrological model. Moreover, we demonstrated the possibility of speeding up the calibration process by adjusting the recombination and mutation parameters of the optimization algorithms. The simulated binary crossover and polynomial mutation were used with respective probabilities of 0.9 and 0.1, and crossover and mutation distribution indices (ηc, ηm) with values of (0.5, 0.5), (2.0, 0.5) and (20., 20.). The results indicate that the use of smaller (ηc, ηm) speeded up the optimization process of SHETRAN calibration, especially during the initial stage, for all three algorithms; however, the use of the R-NSGA-II and ER-NSGA-II did not provide a more efficient optimization compared to the NSGA-II. The broad search of the algorithms, enabled by the generation of diversified solutions due to the use of small (ηc, ηm), contributed to the improved efficiency. Finally, we successfully validated the optimal solutions for both the basin outlet and the internal gauging stations.
Subject
Atmospheric Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering,Water Science and Technology
Reference62 articles.
1. Development of a coupled surface-groundwater-pipe network model for the sustainable management of karstic groundwater;Adams;Environ. Geol.,2002
2. Predicting impacts of land use and climate change on erosion and sediment yield in river basins using SHETRAN;Bathurst,2011
3. Modelling the impacts of climate and land-use change on basin hydrology and soil erosion in Mediterranean Europe;Bathurst,1996
4. Modelling large basin hydrology and sediment yield with sparse data: the Agri basin, southern Italy;Bathurst,2002
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