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| Titel |
HYDROGEIOS: a semi-distributed GIS-based hydrological model for modified river basins |
| VerfasserIn |
A. Efstratiadis, I. Nalbantis, A. Koukouvinos, E. Rozos, D. Koutsoyiannis |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 12, no. 4 ; Nr. 12, no. 4 (2008-07-28), S.989-1006 |
| Datensatznummer |
250010753
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| Publikation (Nr.) |
 copernicus.org/hess-12-989-2008.pdf |
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| Zusammenfassung |
| The HYDROGEIOS modelling framework represents the main processes of the
hydrological cycle in heavily modified catchments, with decision-depended
abstractions and interactions between surface and groundwater flows. A
semi-distributed approach and a monthly simulation time step are adopted,
which are sufficient for water resources management studies. The modelling
philosophy aims to ensure consistency with the physical characteristics of
the system, while keeping the number of parameters as low as possible.
Therefore, multiple levels of schematization and parameterization are
adopted, by combining multiple levels of geographical data. To optimally
allocate human abstractions from the hydrosystem during a planning horizon
or even to mimic the allocation occurred in a past period (e.g. the
calibration period), in the absence of measured data, a linear programming
problem is formulated and solved within each time step. With this technique
the fluxes across the hydrosystem are estimated, and the satisfaction of
physical and operational constraints is ensured. The model framework
includes a parameter estimation module that involves various goodness-of-fit
measures and state-of-the-art evolutionary algorithms for global and
multiobjective optimization. By means of a challenging case study, the paper
discusses appropriate modelling strategies which take advantage of the above
framework, with the purpose to ensure a robust calibration and reproduce
natural and human induced processes in the catchment as faithfully as
possible. |
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