Predicting Storm Surges Chaos Computational Intelligence Data Assimilation and Ensembles

Author: Michael Siek
Publisher: CRC Press
ISBN: 041562102X
Format: PDF, ePub
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Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For this purpose the physically-based (process) numerical models are typically utilized. However, in data-rich cases, one may use data-driven methods aiming at reconstructing the internal patterns of the modelled processes and relationships between the observed descriptive variables. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory. First, some fundamentals of physical oceanography, nonlinear dynamics and chaos, computational intelligence and European operational storm surge models are covered. After that a number of improvements in building chaotic models are presented: nonlinear time series analysis, multi-step prediction, phase space dimensionality reduction, techniques dealing with incomplete time series, phase error correction, finding true neighbours, optimization of chaotic model, data assimilation and multi-model ensemble prediction. The major case study is surge prediction in the North Sea, with some tests on a Caribbean Sea case. The modelling results showed that the enhanced predictive chaotic models can serve as an efficient tool for accurate and reliable short and mid-term predictions of storm surges in order to support decision-makers for flood prediction and ship navigation.

Multi Objective Optimization for Urban Drainage Rehabilitation

Author: Wilmer Jose Barreto Cordero
Publisher: CRC Press
ISBN: 9780415624787
Format: PDF, Kindle
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Flooding in urbanized areas has become a very important issue around the world. The level of service (or performance) of urban drainage systems (UDS) degrades in time for a number of reasons. In order to maintain an acceptable performance of UDS, early rehabilitation plans must be developed and implemented. In developing countries the situation is serious, little investment is done and there are smaller funds each year for rehabilitation. The allocation of such funds must be "optimal" in providing value for money. However this task is not easy to achieve due to the multicriteria nature of the rehabilitation process, taking into account technical, environmental and social interests. Most of the time these are conflicting, which make it a highly demanding task. This book introduces a framework to deal with multicriteria decision making for the rehabilitation of urban drainage systems, and focuses on several aspects such as the improvement of the performance of the multicriteria optimization through the inclusion of new features in the algorithms and the proper selection of performance criteria. The use of Genetic Algorithms, parallelization and application in countries like Brazil, Colombia and Venezuela are treated in this book.

Nonlinear Dynamics and Chaos with Applications to Hydrodynamics and Hydrological Modelling

Author: Slavco Velickov
Publisher: CRC Press
ISBN: 9058096912
Format: PDF, ePub, Docs
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A hydroinformatics system represents an electronic knowledge encapsulator that models part of the real world and can be used for the simulation and analysis of physical, chemical and biological processes in water systems, in order to achieve a better management of the aquatic environment. Thus, modelling is at the heart of hydroinformatics. The theory of nonlinear dynamics and chaos, and the extent to which recent improvements in the understanding of inherently nonlinear natural processes present challenges to the use of mathematical models in the analysis of water and environmental systems, are elaborated in this work. In particular, it demonstrates that the deterministic chaos present in many nonlinear systems can impose fundamental limitations on our ability to predict behaviour, even when well-defined mathematical models exist. On the other hand, methodologies and tools from the theory of nonlinear dynamics and chaos can provide means for a better accuracy of short-term predictions as demonstrated through the practical applications in this work.

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models

Author: Maurizio Mazzoleni
Publisher: CRC Press
ISBN: 1351652567
Format: PDF, Mobi
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In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observations of hydrological variables in a more distributed way than the classic static physical sensors. The main advantage of using these type of sensors is that they can be used not only by technicians but also by regular citizens. However, due to their relatively low reliability and varying accuracy in time and space, crowdsourced observations have not been widely integrated in hydrological and/or hydraulic models for flood forecasting applications. Instead, they have generally been used to validate model results against observations, in post-event analyses. This research aims to investigate the benefits of assimilating the crowdsourced observations, coming from a distributed network of heterogeneous physical and social (static and dynamic) sensors, within hydrological and hydraulic models, in order to improve flood forecasting. The results of this study demonstrate that crowdsourced observations can significantly improve flood prediction if properly integrated in hydrological and hydraulic models. This study provides technological support to citizen observatories of water, in which citizens not only can play an active role in information capturing, evaluation and communication, leading to improved model forecasts and better flood management.

River Flow 2006 Two Volume Set

Author: Rui M.L. Ferreira
Publisher: CRC Press
ISBN: 1439833869
Format: PDF, ePub, Mobi
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Rivers are complex entities. In addition to being valuable wildlife habitats, they support human activities by providing water for human usage, renewable energy and convenient transportation. Rivers may also pose threats to riverine communities, in the form of floods and other natural or man-induced hazards. Contemporary societies recognize their responsibility in ensuring the sustainable use of rivers and in preserving river’s intrinsic ecological and landscape values. This obligation is often in conflict with riverine economical exploitation and with risk management concerns. As a discipline, Fluvial Hydraulics makes a significant contribution to the development of strategies for sustainable river use by providing new modelling tools and engineering techniques based on advances in phenomenological understanding and in computational modelling. River Flow 2006 comprises the Proceedings of the third edition of the International Conference on Fluvial Hydraulics, organized under the auspices of the Fluvial Hydraulics Section of the International Association of Hydraulic Engineering and Research (IAHR). The book covers issues such as river hydrodynamics, morphodynamics and sediment transport. Other contributions describe interdisciplinary approaches and experiences, particularly regarding interfacial activities involving environmental sciences and information technologies. River Flow 2006 contains the most recent theoretical accomplishments, numerical developments, experimental investigations and field studies in Fluvial Hydraulics. It is an excellent resource for researchers, civil and environmental engineers, and practitioners in river-related disciplines.

Practical Hydroinformatics

Author: Robert J. Abrahart
Publisher: Springer Science & Business Media
ISBN: 3540798811
Format: PDF
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Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. ...

Data Science and Big Data Computing

Author: Zaigham Mahmood
Publisher: Springer
ISBN: 3319318616
Format: PDF, Kindle
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This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.

Advances in Hydroinformatics

Author: Philippe Gourbesville
Publisher: Springer
ISBN: 9811072183
Format: PDF, ePub, Mobi
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This book gathers a collection of extended papers based on presentations given during the SimHydro 2017 conference, held in Sophia Antipolis, Nice, France on June 14–16, 2017. It focuses on how to choose the right model in applied hydraulics and considers various aspects, including the modeling and simulation of fast hydraulic transients, 3D modeling, uncertainties and multiphase flows. The book explores both limitations and performance of current models and presents the latest developments in new numerical schemes, high-performance computing, multiphysics and multiscale methods, and better interaction with field or scale model data. It gathers the lastest theoretical and innovative developments in the modeling field and presents some of the most advance applications on various water related topics like uncertainties, flood simulation and complex hydraulic applications. Given its breadth of coverage, it addresses the needs and interests of practitioners, stakeholders, researchers and engineers alike.