Development of a distributed hydrological software application employing novel velocity-based techniques

K. Risva, D. Nikolopoulos, and A. Efstratiadis, Development of a distributed hydrological software application employing novel velocity-based techniques, 11th World Congress on Water Resources and Environment “Managing Water Resources for a Sustainable Future”, Madrid, European Water Resources Association, 2019.

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[English]

The aim of this study is the development of an event-based distributed hydrological model, incorporating novel methodologies for estimating the effective rainfall and flow routing across the terrain and the hydrographic network (Risva 2018). We present two modelling configurations of the model, one for extracting the flood hydrograph (separating interflow) and one for the full hydrograph, at the basin outlet.

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Our works referenced by this work:

1. A. Efstratiadis, A. Koukouvinos, E. Michailidi, E. Galiouna, K. Tzouka, A. D. Koussis, N. Mamassis, and D. Koutsoyiannis, Description of regional approaches for the estimation of characteristic hydrological quantities, 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, 146 pages, September 2014.
2. S. Antoniadi, Investigation of the river basin's response time variability, Postgraduate Thesis, 124 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, July 2016.
3. 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.
4. E. Michailidi, Flood risk assessment in gauged and ungauged basins in a multidimensional context, PhD thesis, Universita Degli Studi di Brescia, March 2018.
5. K. Risva, Development of a distributed hydrological software application employing novel velocity-based techniques, MSc thesis, 166 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, November 2018.

Tagged under: Hydrological models, Software, Students' works presented in conferences