Online Flood Forecasting in Fast Responding Catchments on the Basis of a Synthesis of Artificial Neural Networks and Process Models

Online Flood Forecasting in Fast Responding Catchments on the Basis of a Synthesis of Artificial Neural Networks and Process Models PDF Author: Johannes Cullmann
Publisher:
ISBN: 9783860055687
Category :
Languages : en
Pages : 150

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Online Flood Forecasting in Fast Responding Catchments on the Basis of a Synthesis of Artificial Neural Networks and Process Models

Online Flood Forecasting in Fast Responding Catchments on the Basis of a Synthesis of Artificial Neural Networks and Process Models PDF Author: Johannes Cullmann
Publisher:
ISBN: 9783860055687
Category :
Languages : en
Pages : 150

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Book Description


Flood Forecasting Using Machine Learning Methods

Flood Forecasting Using Machine Learning Methods PDF Author: Fi-John Chang
Publisher: MDPI
ISBN: 3038975486
Category : Technology & Engineering
Languages : en
Pages : 376

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Book Description
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.

Flood Forecasting Using Artificial Neural Networks

Flood Forecasting Using Artificial Neural Networks PDF Author: P Varoonchotikul
Publisher: CRC Press
ISBN: 9789058096319
Category : Technology & Engineering
Languages : en
Pages : 102

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Book Description
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.

Flood Forecasting Using Artificial Neural Networks

Flood Forecasting Using Artificial Neural Networks PDF Author: P. Varoonchotikul
Publisher: CRC Press
ISBN: 9781138475076
Category :
Languages : en
Pages :

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Book Description
This dissertation considers various questions with respect to the effects of salinity on nutrification: what are the main inhibiting factors causing the effects, do all salts have similar effects, what is the maximum acceptable salt level, are ammonia oxidisers or nitrite oxidizers most sensitive to salt stress, can nitrifiers adapt to long term salt stress and are some specific nitrifiers more resistant to salt stress than others? Research was carried out at laboratory scale and in full-scale plants and modelling was employed in both phases to provide a mathematical description for salt inhibition on nitrification and to facilitate the comparison. The result has led to an improved understanding of the effect of salinity on nitrification. The results can be used to improve the sustainability of the exisisting wastewater treatment plants operated under salt stress.

Flash Flood Forecasting Over Complex Terrain

Flash Flood Forecasting Over Complex Terrain PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309093163
Category : Science
Languages : en
Pages : 206

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Book Description
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 Warning, Forecasting and Emergency Response

Flood Warning, Forecasting and Emergency Response PDF Author: Kevin Sene
Publisher: Springer
ISBN: 9783642096655
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
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.

River Basin Modelling for Flood Risk Mitigation

River Basin Modelling for Flood Risk Mitigation PDF Author: Donald W. Knight
Publisher: CRC Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 624

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Book Description
This book provides an attractive overview to researchers and professionals world-wide working in the field of flood risk management and other hydrological issues. The work is also intended as a sound introduction to river basin management.

Risk-Based Probabilistic Fluvial Flood Forecasting for Integrated Catchment Models

Risk-Based Probabilistic Fluvial Flood Forecasting for Integrated Catchment Models PDF Author:
Publisher:
ISBN: 9781849110976
Category : Flood forecasting
Languages : en
Pages : 181

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Book Description


Artificial Neural Network Modelling

Artificial Neural Network Modelling PDF Author: Subana Shanmuganathan
Publisher: Springer
ISBN: 3319284959
Category : Technology & Engineering
Languages : en
Pages : 472

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Book Description
This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

Flood Risk Science and Management

Flood Risk Science and Management PDF Author: Gareth Pender
Publisher: John Wiley & Sons
ISBN: 144434076X
Category : Technology & Engineering
Languages : en
Pages : 744

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Book Description
Approaches to avoid loss of life and limit disruption and damage from flooding have changed significantly in recent years. Worldwide, there has been a move from a strategy of flood defence to one of flood risk management. Flood risk management includes flood prevention using hard defences, where appropriate, but also requires that society learns to live with floods and that stakeholders living in flood prone areas develop coping strategies to increase their resilience to flood impacts when these occur. This change in approach represents a paradigm shift which stems from the realisation that continuing to strengthen and extend conventional flood defences is unsustainable economically, environmentally, and in terms of social equity. Flood risk management recognises that a sustainable approach must rest on integrated measures that reduce not only the probability of flooding, but also the consequences. This is essential as increases in the probability of inundation are inevitable in many areas of the world due to climate change, while socio-economic development will lead to spiralling increases in the consequences of flooding unless land use in floodplains is carefully planned. Flood Risk Science and Management provides an extensive and comprehensive synthesis of current research in flood management; providing a multi-disciplinary reference text covering a wide range of flood management topics. Its targeted readership is the international research community (from research students through to senior staff) and flood management professionals, such as engineers, planners, government officials and those with flood management responsibility in the public sector. By using the concept of case study chapters, international coverage is given to the topic, ensuring a world-wide relevance.