E3S Web Conf.
Volume 7, 20163rd European Conference on Flood Risk Management (FLOODrisk 2016)
|Number of page(s)||5|
|Section||Forecasting and warning|
|Published online||20 October 2016|
How to manage flood forecasting in a catchment with high flood risk - experiences from the Emscher
Emschergenossenschaft, Floodriskmanagement Department, 45128 Essen, Germany
a Corresponding author: email@example.com
The Emscher area is a basin of 865 km2, which includes nearly 2.3 million inhabitants. According to the average of 2.700 inhabitants per km2 nearly 60 % of the basin’s surface is sealed. 100 years of coal mining shaped the basin significantly. Due to that open channel system, the Emscher river shows a very quick reaction on precipitation. What does that mean for our flood forecasting? We have to record our data of the river gauges in an adequate time interval, that is usually 1 min. We have to import this recorded data from the gauges in our timeseries database every 5 minutes. In several other time intervals we’re getting our precipitation data, the radar data and the available numerical weather forecast from the German Weather Service. All this serves as input data for multiple model runs. The flood forecasting models perform continuous calculations every half an hour. All in all we’re offering an hydrological forecasting service for the operational branch of our organization so that they can handle the occurring problems. If necessary we’re performing this duty in a shift work system, so that we can offer a 24 hours service as long as needed.
© 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.