Issue |
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
|
|
---|---|---|
Article Number | 09003 | |
Number of page(s) | 6 | |
Section | Risk perception and communication | |
DOI | https://doi.org/10.1051/e3sconf/20160709003 | |
Published online | 20 October 2016 |
Dynamic flood webmapping: an operational and cost-limited tool to optimize crisis management
1 Prolog Ingénierie – 11, rue Auguste Lacroix, 69003 Lyon France
2 SyAGE (Syndicat mixte pour l'Assainissement et la Gestion des Eaux du bassin versant de l’Yerres) – 17, Rue Gustave Eiffel, 91230 Montgeron, France
a Corresponding author: strappazzon@prolog-ingenierie.fr
Due to strong climate variations and the multiplication of flood events, protection based strategies are no longer sufficient to handle a watershed scale crisis. Monitoring, prediction and alert procedures are required to ensure effective crisis and post-crisis management which explains the recent interest for real time predictions systems. Nevertheless, this kind of system, when fully implemented with in-situ monitoring network, meteorological forecast inputs, hydrological and hydraulic modelling and flood mapping, are often postponed or cancelled because of both their cost and time scale. That is why Prolog Ingénierie and the SyAGE have developed, as an economical and technical sustainable alternative, a tool providing shared access to a real time mapping of current and predicted flooded areas along with a dynamic listing of exposed stakes (such as public buildings, sensible infrastructures, environmental buildings, roads). The update of these maps is performed from the combination of predicted water levels in the river and a flood envelop library (based on 1D/2D hydraulic model results for a wide panel of discharges and hydraulic structures states conditions). This tool has already been implemented on the downstream part of the Yerres River, a tributary of the Seine River in France.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.