Non-linear methods in multiobjective water resource optimization problems, with emphasis on the calibration of hydrological models

A. Efstratiadis, Non-linear methods in multiobjective water resource optimization problems, with emphasis on the calibration of hydrological models, PhD thesis, 391 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, February 2008.

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[Greek]

We attempt a comprehensive overview of nonlinear multiobjective functions optimization, which covers both the computational part (review and development of algorithms) and the application of related approaches in water resources science and technology. We formulate a multiobjective evolutionary annealing-simplex algorithm that aims to locate representative compromises of conflicting criteria in favorable areas of the Pareto front, by combining different methodological approaches and introducing innovative issues within the evaluation and generation procedures. The algorithmic performance is tested, in comparison with well-recognized literature methods, on several mathematical problems, as well as on the estimation of stochastic model parameters. Regarding the technological component, we emphasize on the calibration of complex hydrological models. Various aspects of the problem are studied, from the model configuration (schematization, parameterization) to the strategy of selecting the best-compromise parameter set. The analysis is initially implemented on a theoretical basis, focusing on uncertainty and equifinality, while next we investigate an extended pilot application in the Boeoticos Kephissos basin, where a conjunctive hydrological, hydrogeological and water management model is fitted.

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Commitee: D. Koutsoyiannis (supervisor), M. Mimikou, N. Mamassis, D. Tolikas, G. Karatzas, I. Nalbantis, M. Karlaftis

Our works that reference this work:

1. A. Efstratiadis, I. Nalbantis, A. Koukouvinos, E. Rozos, and D. Koutsoyiannis, HYDROGEIOS: A semi-distributed GIS-based hydrological model for modified river basins, Hydrology and Earth System Sciences, 12, 989–1006, doi:10.5194/hess-12-989-2008, 2008.
2. A. Efstratiadis, and D. Koutsoyiannis, Fitting hydrological models on multiple responses using the multiobjective evolutionary annealing simplex approach, Practical hydroinformatics: Computational intelligence and technological developments in water applications, edited by R.J. Abrahart, L. M. See, and D. P. Solomatine, 259–273, doi:10.1007/978-3-540-79881-1_19, Springer, 2008.

Other works that reference this work (this list might be obsolete):

1. Charizopoulos, N., and A. Psilovikos, Hydrologic processes simulation using the conceptual model Zygos: the example of Xynias drained Lake catchment (central Greece), Environmental Earth Sciences, doi:10.1007/s12665-016-5565-x, 2016.

Tagged under: Hydrological models, Optimization