Flood Forecasting Book

Flood Forecasting

  • Author : Thomas E Adams
  • Publisher : Academic Press
  • Release Date : 2016-04-04
  • Genre: Science
  • Pages : 478
  • ISBN 10 : 9780128018590

Flood Forecasting Excerpt :

Flood Forecasting: A Global Perspective describes flood forecast systems and operations as they currently exist at national and regional centers around the globe, focusing on the technical aspects of flood forecast systems. This book includes the details of data flow, what data is used, quality control, the hydrologic and hydraulic models used, and the unique problems of each country or system, such as glacial dam failures, ice jams, sparse data, and ephemeral streams and rivers. Each chapter describes the system, including details about its strengths and weaknesses, and covers lessons learned. This helpful resource facilitates sharing knowledge that will lead to improvements of existing systems and provides a valuable reference to those wishing to develop new forecast systems by drawing on best practices. Covers global systems allowing readers to see a worldwide perspective with different approaches used by existing flood forecast systems Provides historical coverage allowing readers to understand why forecast systems have developed as they have and to see how specific systems have dealt with common problems encountered Presents a vision of what appears to be the future of hydrologic forecasting and difficulties facing hydrologic forecasting Provides a helpful resource to facilitate improvements to existing systems based on a best practices approach

Flash Flood Forecasting Over Complex Terrain Book

Flash Flood Forecasting Over Complex Terrain

  • Author : National Research Council
  • Publisher : National Academies Press
  • Release Date : 2005-01-28
  • Genre: Science
  • Pages : 206
  • ISBN 10 : 9780309093163

Flash Flood Forecasting Over Complex Terrain Excerpt :

The nation's network of more than 130 Next Generation Radars (NEXRADs) is used to detect wind and precipitation to help National Weather Service forecasters monitor and predict flash floods and other storms. This book assesses the performance of the Sulphur Mountain NEXRAD in Southern California, which has been scrutinized for its ability to detect precipitation in the atmosphere below 6000 feet. The book finds that the Sulphur Mountain NEXRAD provides crucial coverage of the lower atmosphere and is appropriately situated to assist the Los Angeles-Oxnard National Weather Service Forecast Office in successfully forecasting and warning of flash floods. The book concludes that, in general, NEXRAD technology is effective in mountainous terrain but can be improved.

Flood Forecasting Using Artificial Neural Networks Book

Flood Forecasting Using Artificial Neural Networks

  • Author : P Varoonchotikul
  • Publisher : CRC Press
  • Release Date : 2003-01-01
  • Genre: Technology & Engineering
  • Pages : 102
  • ISBN 10 : 9058096319

Flood Forecasting Using Artificial Neural Networks Excerpt :

Flood disasters continue to occur in many countries in the world and cause tremendous casualties and property damage. To mitigate the effects of floods, a range of structural and non-structural measures have been employed including dykes, channelling, flood-proofing property, land-use regulation and flood warning schemes. Such schemes can include the use of Artificial Neural Networks (ANN) for modelling the rainfall run-off process as it is a quick and flexible approach which gives very promising results. However, the inability of ANN to extrapolate beyond the limits of the training range is a serious limitation of the method, and this book examines ways of side-stepping or solving this complex issue.

Modelling Uncertainty in Flood Forecasting Systems Book

Modelling Uncertainty in Flood Forecasting Systems

  • Author : Shreeda Maskey
  • Publisher : CRC Press
  • Release Date : 2004-11-23
  • Genre: Science
  • Pages : 184
  • ISBN 10 : 9780203026823

Modelling Uncertainty in Flood Forecasting Systems Excerpt :

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.

Stochastic Flood Forecasting System Book

Stochastic Flood Forecasting System

  • Author : Renata J. Romanowicz
  • Publisher : Springer
  • Release Date : 2015-06-29
  • Genre: Science
  • Pages : 198
  • ISBN 10 : 9783319188546

Stochastic Flood Forecasting System Excerpt :

This book presents the novel formulation and development of a Stochastic Flood Forecasting System, using the Middle River Vistula basin in Poland as a case study. The system has a modular structure, including models describing the rainfall-runoff and snow-melt processes for tributary catchments and the transformation of a flood wave within the reach. The sensitivity and uncertainty analysis of the elements of the study system are performed at both the calibration and verification stages. The spatial and temporal variability of catchment land use and river flow regime based on analytical studies and measurements is presented. A lumped parameter approximation to the distributed modelling of river flow is developed for the purpose of flow forecasting. Control System based emulators (Hammerstein-Wiener models) are applied to on-line data assimilation. Medium-range probabilistic weather forecasts (ECMWF) and on-line observations of temperature, precipitation and water levels are used to prolong the forecast lead time. The potential end-users will also benefit from a description of social vulnerability to natural hazards in the study area.

Flood Forecasting Using Machine Learning Methods Book

Flood Forecasting Using Machine Learning Methods

  • Author : Fi-John Chang
  • Publisher : MDPI
  • Release Date : 2019-02-28
  • Genre: Technology & Engineering
  • Pages : 376
  • ISBN 10 : 9783038975489

Flood Forecasting Using Machine Learning Methods Excerpt :

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 reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.

River Ice Processes and Ice Flood Forecasting Book

River Ice Processes and Ice Flood Forecasting

  • Author : Karl-Erich Lindenschmidt
  • Publisher : Springer Nature
  • Release Date : 2019-09-25
  • Genre: Technology & Engineering
  • Pages : 267
  • ISBN 10 : 9783030286798

River Ice Processes and Ice Flood Forecasting Excerpt :

This book exposes practitioners and students to the theory and application of river and lake ice processes to gain a better understanding of these processes for modelling and forecasting. It focuses on the following processes of the surface water ice: freeze-up, ice cover thickening, ice cover breakup and ice jamming. The reader will receive a fundamental understanding of the physical processes of each component and how they are applied in monitoring and modelling ice covers during the winter season and forecasting ice floods. Exercises accompany each component to reinforce the theoretical principles learned. These exercises will also expose the reader to different tools to process data, such a space-borne remote sensing imagery for ice cover classification. A thread supporting numerical modelling of river ice and lake ice processes runs through the book.

Operational Flood Forecasting  Warning and Response for Multi Scale Flood Risks in Developing Cities Book

Operational Flood Forecasting Warning and Response for Multi Scale Flood Risks in Developing Cities

  • Author : María Carolina Rogelis
  • Publisher : CRC Press
  • Release Date : 2020-04-22
  • Genre: Technology & Engineering
  • Pages : 179
  • ISBN 10 : 9780429606137

Operational Flood Forecasting Warning and Response for Multi Scale Flood Risks in Developing Cities Excerpt :

The aim of this book is to contribute to understanding risk knowledge and to forecasting components of early flood warning, particularly in the environment of tropical high mountains in developing cities. This research covers a challenge, taking into account the persistent lack of data, limited resources and often complex climatic, hydrologic and hydraulic conditions. In this research, a regional method is proposed for assessing flash flood susceptibility and for identifying debris flow predisposition at the watershed scale. An indication of hazard is obtained from the flash flood susceptibility analysis and continually, the vulnerability and an indication of flood risk at watershed scale was obtained. Based on risk analyses, the research follows the modelling steps for flood forecasting development. Input precipitation is addressed in the environment of complex topography commonly found in mountainous tropical areas. A distributed model, a semi-distributed model and a lumped model were all used to simulate the discharges of a tropical high mountain basin with a páramo upper basin. Performance analysis and diagnostics were carried out in order to identify the most appropriate model for the study area for flood early warning. Finally, the Weather Research and Forecasting (WRF) model was used to explore the added value of numerical weather models for flood early warning in a páramo area.

Status of Flood control Legislation and Works  Precipitation  Flood Forecasts  and River Stages  Watershed Protection  Retardation  Soil Stabilization  Reforestation  Stream Flow and Discharge Book

Status of Flood control Legislation and Works Precipitation Flood Forecasts and River Stages Watershed Protection Retardation Soil Stabilization Reforestation Stream Flow and Discharge

  • Author : United States. Congress. House. Committee on Flood Control
  • Publisher : Unknown
  • Release Date : 1939
  • Genre: Flood control
  • Pages : 64
  • ISBN 10 : MINN:31951D035990679

Status of Flood control Legislation and Works Precipitation Flood Forecasts and River Stages Watershed Protection Retardation Soil Stabilization Reforestation Stream Flow and Discharge Excerpt :

Flood Warning  Forecasting and Emergency Response Book

Flood Warning Forecasting and Emergency Response

  • Author : Kevin Sene
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-08-15
  • Genre: Technology & Engineering
  • Pages : 303
  • ISBN 10 : 9783540778530

Flood Warning Forecasting and Emergency Response 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.