Neural Networks for Hydrological Modeling

Author: Robert Abrahart
Publisher: CRC Press
ISBN: 9789058096197
Format: PDF, Kindle
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A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of water sciences, civil engineering, hydrology and physical geography. Each chapter has been written by one or more eminent experts working in various fields of hydrological modelling. The book covers an introduction to the concepts and technology involved, numerous case-studies with practical applications and methods, and finishes with suggestions for future research directions. Wide in scope, this book offers both significant new theoretical challenges and an examination of real-world problem-solving in all areas of hydrological modelling interest.

Artificial Neural Networks in Hydrology

Author: R.S. Govindaraju
Publisher: Springer Science & Business Media
ISBN: 9401593418
Format: PDF, Mobi
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R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.

Advances in Data based Approaches for Hydrologic Modeling and Forecasting

Author: Bellie Sivakumar
Publisher: World Scientific
ISBN: 9814307971
Format: PDF, ePub
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This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.

Hydrologic Modeling

Author: Vijay P Singh
Publisher: Springer
ISBN: 9811058016
Format: PDF, ePub
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This book contains seven parts. The first part deals with some aspects of rainfall analysis, including rainfall probability distribution, local rainfall interception, and analysis for reservoir release. Part 2 is on evapotranspiration and discusses development of neural network models, errors, and sensitivity. Part 3 focuses on various aspects of urban runoff, including hydrologic impacts, storm water management, and drainage systems. Part 4 deals with soil erosion and sediment, covering mineralogical composition, geostatistical analysis, land use impacts, and land use mapping. Part 5 treats remote sensing and geographic information system (GIS) applications to different hydrologic problems. Watershed runoff and floods are discussed in Part 6, encompassing hydraulic, experimental, and theoretical aspects. Water modeling constitutes the concluding Part 7. Soil and Water Assessment Tool (SWAT), Xinanjiang, and Soil Conservation Service-Curve Number (SCS-CN) models are discussed. The book is of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management find the book to be of value.

Practical Hydroinformatics

Author: Robert J. Abrahart
Publisher: Springer Science & Business Media
ISBN: 3540798811
Format: PDF, Mobi
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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. ...

Handbook of Engineering Hydrology

Author: Saeid Eslamian
Publisher: CRC Press
ISBN: 9781466552418
Format: PDF, Kindle
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While most books only examine the classical aspects of hydrology, the three-volume set covers multiple aspects of hydrology, and includes contributions from experts from more than 30 countries. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change. It also provides updated material on hydrological science and engineering, discussing recent developments as well as classic approaches. Published in three books, Fundamentals and Applications; Modeling, Climate Change, and Variability; and Environmental Hydrology and Water Management, the entire set consists of 87 chapters, and contains 29 chapters in each book. The chapters in this book contain information on: Long-term generation of scheduling of hydro plants, check dam selection procedures in rainwater harvesting, and stochastic reservoir analysis Ecohydrology for engineering harmony in the changing world, concepts, and plant water use Conjunctive use of groundwater and surface water Hydrologic and hydraulic design in green infrastructure Data processing in hydrology, optimum hydrometric site selection and quality control, and homogenization of climatological series Cold region hydrology, evapotranspiration, and water consumption Modern flood prediction and warning systems, and satellite-based systems for flood monitoring and warning Catchment water yield estimation, hydrograph analysis and base flow separation, and low flow hydrology Sustainability in urban water systems and urban hydrology Students, practitioners, policy makers, consultants and researchers can benefit from the use of this text.

Soft Computing in Water Resources Engineering

Author: G. Tayfur
Publisher: WIT Press
ISBN: 1845646363
Format: PDF, Mobi
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Engineers have attempted to solve water resources engineering problems with the help of empirical, regression-based and numerical models. Empirical models are not universal, nor are regression-based models. The numerical models are, on the other hand, physics-based but require substantial data measurement and parameter estimation. Hence, there is a need to employ models that are robust, user-friendly, and practical and that do not have the shortcomings of the existing methods. Artificial intelligence methods meet this need. Soft Computing in Water Resources Engineering introduces the basics of artificial neural networks (ANN), fuzzy logic (FL) and genetic algorithms (GA). It gives details on the feed forward back propagation algorithm and also introduces neuro-fuzzy modelling to readers. Artificial intelligence method applications covered in the book include predicting and forecasting floods, predicting suspended sediment, predicting event-based flow hydrographs and sedimentographs, locating seepage path in an earth-fill dam body, and the predicting dispersion coefficient in natural channels. The author also provides an analysis comparing the artificial intelligence models and contemporary non-artificial intelligence methods (empirical, numerical, regression, etc.). The ANN, FL, and GA are fairly new methods in water resources engineering. The first publications appeared in the early 1990s and quite a few studies followed in the early 2000s. Although these methods are currently widely known in journal publications, they are still very new for many scientific readers and they are totally new for students, especially undergraduates. Numerical methods were first taught at the graduate level but are now taught at the undergraduate level. There are already a few graduate courses developed on AI methods in engineering and included in the graduate curriculum of some universities. It is expected that these courses, too, will soon be taught at the undergraduate levels.

Hydrological Modelling and the Water Cycle

Author: Soroosh Sorooshian
Publisher: Springer Science & Business Media
ISBN: 3540778438
Format: PDF, ePub, Mobi
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This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes. The participants at the School came from diverse backgrounds and the level of - terest and active involvement in the discussions clearly demonstrated the importance the scienti c community places on challenges related to the coupling of atmospheric and hydrologic models. Along with my colleagues Dr. Erika Coppola and Dr. Kuolin Hsu, co-directors of the School, we greatly appreciate the invited lectures and all the participants. The members of the local organizing committee, Drs Barbara Tomassetti; Marco Verdecchia and Guido Visconti were instrumental in the success of the school and their contributions, both scienti cally and organizationally are much appreciated.

Handbook of Engineering Hydrology

Author: Saeid Eslamian
Publisher: CRC Press
ISBN: 1466552476
Format: PDF, ePub, Mobi
Download Now
While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change. It also provides updated material on hydrological science and engineering, discussing recent developments as well as classic approaches. Published in three books, Fundamentals and Applications; Modeling, Climate Change, and Variability; and Environmental Hydrology and Water Management, the entire set consists of 87 chapters, and contains 29 chapters in each book. The chapters in this book contain information on: Climate change and hydrological hazards, hydrological modeling, and urban water systems, as well as climate change impacts on hydrology and water resources, climate change uncertainty, vulnerability, and adaption Rainfall estimation and changes, hydrological changes of mangrove ecosystems, impact of the development of vegetation on flow conditions and flood hazards, urbanization impacts on runoff regime, and discretization in urban watersheds Artificial neural network-based modeling of hydrologic processes, flow and sediment transport modeling in rivers, hybrid hydrological modeling, hydrologic modeling: stochastic processes, and time series analysis of hydrologic data Dam risk and uncertainty, drought indices for drought risk assessment in a changing climate, hydrologic prediction and uncertainty quantification, uncertainty and risk of the PMP and PMF Geostatistics applications in hydrology, GIS applications in a changing climate, GIS-based upland erosion mapping, regional flood frequency analysis, regionalization of hydrological extreme events, remote sensing data and information for hydrological monitoring and modeling Application of copulas in hydrology, bankfull frequency of rivers, statistical parameters used for assessing hydrological regime, significance of statistical tests and persistence in hydrologic processes Students, practitioners, policy makers, consultants and researchers can benefit from the use of this text.

Practical Hydroinformatics

Author: Robert J. Abrahart
Publisher: Springer Science & Business Media
ISBN: 3540798811
Format: PDF, ePub, Docs
Download Now
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. ...