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Flood Forecasting
Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world. - Covers global and regional systems, thus allowing readers to understand the different forecasting systems and how they developed - Offers practical applications for groups trying to improve existing flood forecasting systems - Includes innovative solutions for those interested in developing new systems - Contains analytical and updated information on forecasting and monitoring systems
Modelling Uncertainty in Flood Forecasting Systems
Like all natural hazards, flooding is a complex and inherently uncertain phenomenon. Despite advances in developing flood forecasting models and techniques, the uncertainty in forecasts remains unavoidable. This uncertainty needs to be acknowledged, and uncertainty estimation in flood forecasting provides a rational basis for risk-based criteria. This book presents the development and applications of various methods based on probablity and fuzzy set theories for modelling uncertainty in flood forecasting systems. In particular, it presents a methodology for uncertainty assessment using disaggregation of time series inputs in the framework of both the Monte Carlo method and the Fuzzy Extention Principle. It reports an improvement in the First Order Second Moment method, using second degree reconstruction, and derives qualitative scales for the interpretation of qualitative uncertainty. Application is to flood forecasting models for the Klodzko catchment in POland and the Loire River in France. Prospects for the hybrid techniques of uncertainty modelling and probability-possibility transformations are also explored and reported.
Flood Warning, Forecasting and Emergency Response
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, inc...
Flood Forecasting Using Machine Learning Methods
Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of...
Flood Forecasting
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Flash Floods
Flash floods typically develop in a period a few hours or less and can arise from heavy rainfall and other causes, such as dam or flood defence breaches, and ice jam breaks. The rapid development, often associated with a high debris content, can present a considerable risk to people and property. This book describes recent developments in techniques for monitoring and forecasting the development of flash floods, and providing flood warnings. Topics which are discussed include rainfall and river monitoring, nowcasting, Numerical Weather Prediction, rainfall-runoff modelling, and approaches to the dissemination of flood warnings and provision of an emergency response. The book is potentially useful on civil engineering, water resources, meteorology and hydrology courses (and for post graduate studies) but is primarily intended as a review of the topic for a wider audience.
Seasonal Flood Forecasts and Warning Response Opportunities
This book explores the feasibility of using El Niño-Southern Oscillation (ENSO)-based forecasts and early warning systems to prevent losses from floods and droughts in Bangladesh. Despite advances in short-range flood forecasting and information dissemination systems in Bangladesh, the present system is less than satisfactory. This is due to short lead-time products, outdated dissemination networks, and lack of direct feedback from the end-user. One viable solution is to produce long-lead seasonal forecasts—the demand for which is significantly increasing in Bangladesh— and disseminate these products through appropriate channels. As observed in other regions, the success of seasonal for...
Consolidation and Strengthening of Flood Forecasting and Warning Services
On the FFWS Project implemented by DANIDA in cooperation with Flood Forecasting and Warning Centre of Government of Bangladesh.
