A. Efstratiadis, A. Koukouvinos, P. Dimitriadis, E. Rozos, and A. D. Koussis, Theoretical documentation of hydrological-hydraulic simulation model, DEUCALION – Assessment of flood flows in Greece under conditions of hydroclimatic variability: Development of physically-established conceptual-probabilistic framework and computational tools, Contractors: ETME: Peppas & Collaborators, Grafeio Mahera, Department of Water Resources and Environmental Engineering – National Technical University of Athens, National Observatory of Athens, 108 pages, September 2014.
We present the theoretical documentation of the hydrological-hydraulic simulation model that has been developed within the new version of computer system Hydrogeios. The model has been enhanced in order to represent the hydrological processes at the hourly time scale, which allows to be used for both hydrological design and flood forecasting. In the report are described in detail the whole theoretical background, based on the integration of simulation models for surface- and groundwater processes, water resources management models, and alternative numerical schemes for flow routing along the river network. Moreover, we explain the procedure for preparation of input data and construction of all essential thematic layers, as well as the procedure for estimating model parameters through advanced calibration tools.
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Related project: DEUCALION – Assessment of flood flows in Greece under conditions of hydroclimatic variability: Development of physically-established conceptual-probabilistic framework and computational tools
Our works that reference this work:
|1.||E. Savvidou, A. Efstratiadis, A. D. Koussis, A. Koukouvinos, and D. Skarlatos, A curve number approach to formulate hydrological response units within distributed hydrological modelling, Hydrology and Earth System Sciences Discussions, doi:10.5194/hess-2016-627, 2016.|
|2.||E. Savvidou, A. Efstratiadis, A. D. Koussis, A. Koukouvinos, and D. Skarlatos, The curve number concept as a driver for delineating hydrological response units, Water, 10 (2), 194, doi:10.3390/w10020194, 2018.|