Stochastic Flood Forecasting System

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Floods And Landslides Integrated Risk Assessment

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Author : Riccardo Casale
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Floods And Landslides Integrated Risk Assessment written by Riccardo Casale and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.

Scientific reserach on natural disasters is now implementing new methodologies and aproaches as consequences of: 1. mutating impact of extreme natural events in response to societal change like land use, lifelines, communications, transportation, etc.; 2. development which claim for new urban and industrial territories, often in hazard prone areas; 3. impact of modern society on natural climate variability (climate change) and con sequently, on spatial and temporal frequency of extreme events related to hydro logical cycle. As consequence of the above mentioned items it is necessary to develop a global approach to territory in order to understand reciprocous influence between climate dynamics with their extreme consequences like floods and landslides and socio-eco nomic development. In such a way, and in response to societal change, scientific re search on floods and landslides is beginning to loose the classical mono disciplinary approach and it is starting to be a science of the hydrological processes. The course on "Floods and Landslides: integrated risk assessment" held in Orvieto (Italy) 19-26 may 1996, has been organised by the European Commission specifically with the aim of transferring to young European scientists these new views, in order to contribute to a future scientific community, capable to face with the future environ mental problems.

Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization

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Author : Juan B. Marco
language : en
Publisher: Springer Science & Business Media
Release Date : 1993

Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization written by Juan B. Marco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Mathematics categories.

Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise.A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management.The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems.

Stochastic Flood Forecasting System

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Author : Renata J. Romanowicz
language : en
Publisher: Springer
Release Date : 2015-06-29

Stochastic Flood Forecasting System written by Renata J. Romanowicz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-29 with Science categories.

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.

Selected Water Resources Abstracts

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Author :
language : en
Publisher:
Release Date : 1991

Selected Water Resources Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Hydrology categories.

Statistical Analysis And Stochastic Modelling Of Hydrological Extremes

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Author : Hossein Tabari
language : en
Publisher:
Release Date : 2019

Statistical Analysis And Stochastic Modelling Of Hydrological Extremes written by Hossein Tabari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.

Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.

Flood Forecasting Using Machine Learning Methods

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Author : Fi-John Chang
language : en
Publisher: MDPI
Release Date : 2019-02-28

Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.

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.

Flash Flood Forecasting Over Complex Terrain

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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2005-01-28

Flash Flood Forecasting Over Complex Terrain written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-28 with Science categories.

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.

Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization

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Author : J.B. Marco
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization written by J.B. Marco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.

Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.

Hydrodynamic And Mass Transport At Freshwater Aquatic Interfaces

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Author : Paweł Rowiński
language : en
Publisher: Springer
Release Date : 2016-01-27

Hydrodynamic And Mass Transport At Freshwater Aquatic Interfaces written by Paweł Rowiński and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-27 with Science categories.

This book presents selected contributions of the 34th International School of Hydraulics that was held in May 2015 in Zelechów, Poland. It gives an overview about the state of the art in environmental hydraulics. A special emphasis is put upon physical, biochemical and ecological processes that act at interfaces in natural surface water bodies but also other important hydraulic problems are considered. The achievements of well-known researchers from all over the world as well as the results obtained by young researchers, among others within a Marie Curie funded Initial Training Network, led by the University of Padua (HYTECH - HYdrodynamic Transport at Ecologically Critical Heterogeneous Interfaces) are gathered in this volume.

Recent Advances In The Modeling Of Hydrologic Systems

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Author : D.S Bowles
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Recent Advances In The Modeling Of Hydrologic Systems written by D.S Bowles and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.

Modeling of the rainfall-runoff process is of both scientific and practical significance. Many of the currently used mathematical models of hydrologic systems were developed a genera tion ago. Much of the effort since then has focused on refining these models rather than on developing new models based on improved scientific understanding. In the past few years, however, a renewed effort has been made to improve both our fundamental understanding of hydrologic processes and to exploit technological advances in computing and remote sensing. It is against this background that the NATO Advanced Study Institute on Recent Advances in the Modeling of Hydrologic Systems was organized. The idea for holding a NATO ASI on this topic grew out of an informal discussion between one of the co-directors and Professor Francisco Nunes-Correia at a previous NATO ASI held at Tucson, Arizona in 1985. The Special Program Panel on Global Transport Mechanisms in the Geo-Sciences of the NATO Scientific Affairs Division agreed to sponsor the ASI and an organizing committee was formed. The committee comprised the co directors, Professor David S. Bowles (U.S.A.) and Professor P. Enda O'Connell (U.K.), and Professor Francisco Nunes-Correia (Portugal), Dr. Donn G. DeCoursey (U.S.A.), and Professor Ezio Todini (Italy).