Flood Warning, Forecasting and Emergency Response

Flood Warning, Forecasting and Emergency Response
Author :
Publisher : Springer Science & Business Media
Total Pages : 307
Release :
ISBN-10 : 9783540778530
ISBN-13 : 3540778535
Rating : 4/5 (535 Downloads)

Book Synopsis Flood Warning, Forecasting and Emergency Response by : Kevin Sene

Download or read book Flood Warning, Forecasting and Emergency Response written by Kevin Sene and published by Springer Science & Business Media. This book was released on 2008-08-15 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent flood events in Europe, the USA and elsewhere have shown the devastating impact that flooding can have on people and property. Flood warning and forecasting systems provide a well-established way to help to reduce the effects of flooding by allowing people to be evacuated from areas at risk, and for measures to be taken to reduce damage to property. With sufficient warning, temporary defences (sandbags, flood gates etc) can also be installed, and river control structures operated to mitigate the effects of flooding. Many countries and local authorities now operate some form of flood warning system, and the underlying technology requires knowledge across a range of technical areas, including rainfall and tidal detection systems, river and coastal flood forecasting models, flood warning dissemination systems, and emergency response procedures. This book provides a comprehensive account of the flood forecasting, warning and emergency response process, including techniques for predicting the development of flood events, and for issuing appropriate warnings. Related topics, such as telemetry and information systems, and flood warning economics, are also discussed. For perhaps the first time, this book brings together in a single volume the many strands of this interesting multidisciplinary topic, and will serve as a reference for researchers, policy makers and engineers. The material on meteorological, hydrological and coastal modelling and monitoring may also be of interest to a wider audience.

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