Dr. Andreas Efstratiadis Profile

Dr. Andreas Efstratiadis

at National Technical Univ of Athens

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Publications (1)

Proceedings Article | 5 August 2013 Paper

Hydrometeorological network for flood monitoring and modeling

Andreas Efstratiadis, Antonis Koussis, Spyros Lykoudis, Antonis Koukouvinos, Antonis Christofides, George Karavokiros, Nikos Kappos, Nikos Mamassis, Demetris Koutsoyiannis

Proceedings Volume 8795, 879510 (2013) https://doi.org/10.1117/12.2028621

KEYWORDS: Floods, Data modeling, Data storage, Doppler effect, Meteorology, Visualization, Calibration, Radar, Data processing, Networks

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Due to its highly fragmented geomorphology, Greece comprises hundreds of small- to medium-size hydrological basins, in which often the terrain is fairly steep and the streamflow regime ephemeral. These are typically affected by flash floods, occasionally causing severe damages. Yet, the vast majority of them lack flow-gauging infrastructure providing systematic hydrometric data at fine time scales. This has obvious impacts on the quality and reliability of flood studies, which typically use simplistic approaches for ungauged basins that do not consider local peculiarities in sufficient detail. In order to provide a consistent framework for flood design and to ensure realistic predictions of the flood risk –a key issue of the 2007/60/EC Directive– it is essential to improve the monitoring infrastructures by taking advantage of modern technologies for remote control and data management. In this context and in the research project DEUCALION, we have recently installed and are operating, in four pilot river basins, a telemetry-based hydro-meteorological network that comprises automatic stations and is linked to and supported by relevant software. The hydrometric stations measure stage, using 50-kHz ultrasonic pulses or piezometric sensors, or both stage (piezometric) and velocity via acoustic Doppler radar; all measurements are being temperature-corrected. The meteorological stations record air temperature, pressure, relative humidity, wind speed and direction, and precipitation. Data transfer is made via GPRS or mobile telephony modems. The monitoring network is supported by a web-based application for storage, visualization and management of geographical and hydro-meteorological data (ENHYDRIS), a software tool for data analysis and processing (HYDROGNOMON), as well as an advanced model for flood simulation (HYDROGEIOS). The recorded hydro-meteorological observations are accessible over the Internet through the www-application. The system is operational and its functionality has been implemented as open-source software for use in a wide range of applications in the field of water resources monitoring and management, such as the demonstration case study outlined in this work.

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