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HYDROGEIOS: A semi-distributed GIS-based hydrological model for modified river basins

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dc.contributor.author Efstratiadis, A en
dc.contributor.author Nalbantis, I en
dc.contributor.author Koukouvinos, A en
dc.contributor.author Rozos, E en
dc.contributor.author Koutsoyiannis, D en
dc.date.accessioned 2014-03-01T01:28:38Z
dc.date.available 2014-03-01T01:28:38Z
dc.date.issued 2008 en
dc.identifier.issn 1027-5606 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18887
dc.subject Hydrologic Model en
dc.subject River Basin en
dc.subject.classification Geosciences, Multidisciplinary en
dc.subject.classification Water Resources en
dc.subject.other calibration en
dc.subject.other catchment en
dc.subject.other flow modeling en
dc.subject.other GIS en
dc.subject.other groundwater flow en
dc.subject.other hydrological cycle en
dc.subject.other hydrological modeling en
dc.subject.other measurement method en
dc.subject.other parameterization en
dc.subject.other river basin en
dc.title HYDROGEIOS: A semi-distributed GIS-based hydrological model for modified river basins en
heal.type journalArticle en
heal.identifier.primary 10.5194/hess-12-989-2008 en
heal.identifier.secondary http://dx.doi.org/10.5194/hess-12-989-2008 en
heal.language English en
heal.publicationDate 2008 en
heal.abstract 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. en
heal.publisher COPERNICUS PUBLICATIONS en
heal.journalName Hydrology and Earth System Sciences en
dc.identifier.doi 10.5194/hess-12-989-2008 en
dc.identifier.isi ISI:000259986900003 en
dc.identifier.volume 12 en
dc.identifier.issue 4 en
dc.identifier.spage 989 en
dc.identifier.epage 1006 en


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