Hydrological Data Driven Modelling

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Hydrological Data Driven Modelling

Author : Renji Remesan,Jimson Mathew
Publisher : Springer
Page : 250 pages
File Size : 41,6 Mb
Release : 2014-11-03
Category : Science
ISBN : 9783319092355

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Hydrological Data Driven Modelling by Renji Remesan,Jimson Mathew Pdf

This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering

Author : Shahab Araghinejad
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 41,5 Mb
Release : 2013-11-26
Category : Science
ISBN : 9789400775060

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Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering by Shahab Araghinejad Pdf

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

Advances in Data-based Approaches for Hydrologic Modeling and Forecasting

Author : Bellie Sivakumar,Ronny Berndtsson
Publisher : World Scientific
Page : 542 pages
File Size : 42,6 Mb
Release : 2010
Category : Science
ISBN : 9789814307970

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Advances in Data-based Approaches for Hydrologic Modeling and Forecasting by Bellie Sivakumar,Ronny Berndtsson Pdf

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.

Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models

Author : Abebe Andualem Jemberie
Publisher : CRC Press
Page : 198 pages
File Size : 41,9 Mb
Release : 2014-04-21
Category : Science
ISBN : 9781482284034

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Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models by Abebe Andualem Jemberie Pdf

The complementary nature of physically-based and data-driven models in their demand for physical insight and historical data, leads to the notion that the predictions of a physically-based model can be improved and the associated uncertainty can be systematically reduced through the conjunctive use of a data-driven model of the residuals. The objective of this thesis is to minimise the inevitable mismatch between physically-based models and the actual processes as described by the mismatch between predictions and observations. The complementary modelling approach is applied to various hydrodynamic and hydrological models.

Hydrological Modelling and the Water Cycle

Author : Soroosh Sorooshian,Kuo-lin Hsu,Erika Coppola,Barbara Tomassetti,Marco Verdecchia,Guido Visconti
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 52,8 Mb
Release : 2008-07-18
Category : Science
ISBN : 9783540778431

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Hydrological Modelling and the Water Cycle by Soroosh Sorooshian,Kuo-lin Hsu,Erika Coppola,Barbara Tomassetti,Marco Verdecchia,Guido Visconti Pdf

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.

Environmental and Hydrological Systems Modelling

Author : A W Jayawardena
Publisher : CRC Press
Page : 540 pages
File Size : 47,9 Mb
Release : 2013-12-17
Category : Technology & Engineering
ISBN : 9781351988421

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Environmental and Hydrological Systems Modelling by A W Jayawardena Pdf

Mathematical modelling has become an indispensable tool for engineers, scientists, planners, decision makers and many other professionals to make predictions of future scenarios as well as real impending events. As the modelling approach and the model to be used are problem specific, no single model or approach can be used to solve all problems, and there are constraints in each situation. Modellers therefore need to have a choice when confronted with constraints such as lack of sufficient data, resources, expertise and time. Environmental and Hydrological Systems Modelling provides the tools needed by presenting different approaches to modelling the water environment over a range of spatial and temporal scales. Their applications are shown with a series of case studies, taken mainly from the Asia-Pacific Region. Coverage includes: Population dynamics Reaction kinetics Water quality systems Longitudinal dispersion Time series analysis and forecasting Artificial neural networks Fractals and chaos Dynamical systems Support vector machines Fuzzy logic systems Genetic algorithms and genetic programming This book will be of great value to advanced students, professionals, academics and researchers working in the water environment.

Distributed Hydrological Modelling

Author : Michael B. Abbott,Jens Christian Refsgaard
Publisher : Springer Science & Business Media
Page : 323 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789400902572

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Distributed Hydrological Modelling by Michael B. Abbott,Jens Christian Refsgaard Pdf

It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible - of mobilising as much data and testing it with as much knowledge as is economically feasible - for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest use of cartographic data, of geological data, of satellite data, of stream discharge measurements, of borehole data, of observations of crops and other vegetation, of historical records of floods and droughts, and indeed of everything else that has ever been recorded or remembered, and then to apply to this everything that is known about meteorology, plant physiology, soil physics, hydrogeology, sediment transport and everything else that is relevant within this context. Of course, no matter how much data we have and no matter how much we know, it will never be enough to treat some problems and some situations, but still we can aim in this way to do the best that we possibly can.

Data-Driven Modeling for Sustainable Engineering

Author : Kondo H. Adjallah,Babiga Birregah,Henry Fonbeyin Abanda
Publisher : Springer
Page : 425 pages
File Size : 46,7 Mb
Release : 2019-06-21
Category : Technology & Engineering
ISBN : 9783030136970

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Data-Driven Modeling for Sustainable Engineering by Kondo H. Adjallah,Babiga Birregah,Henry Fonbeyin Abanda Pdf

This book gathers the proceedings of the 1st International Conference on Engineering, Applied Sciences and System Modeling (ICEASSM), a four-day event (18th–21st April 2017) held in Accra, Ghana. It focuses on research work promoting a better understanding of engineering problems through applied sciences and modeling, and on solutions generated in an African setting but with relevance to the world as a whole. The book provides a holistic overview of challenges facing Africa, and addresses various areas from research and development perspectives. Presenting contributions by scientists, engineers and experts hailing from a host of international institutions, the book offers original approaches and technological solutions to help solve real-world problems through research and knowledge sharing. Further, it explores promising opportunities for collaborative research on issues of scientific, economic and social development, making it of interest to researchers, scientists and practitioners looking to conduct research in disciplines such as water supply, control, civil engineering, statistical modeling, renewable energy and sustainable urban development.

Hydrological Processes Modelling and Data Analysis

Author : Vijay P. Singh
Publisher : Springer Nature
Page : 298 pages
File Size : 48,6 Mb
Release : 2024-05-06
Category : Electronic
ISBN : 9789819713165

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Hydrological Processes Modelling and Data Analysis by Vijay P. Singh Pdf

Quantitative Information Fusion for Hydrological Sciences

Author : Xing Cai,T.-C. Jim Yeh
Publisher : Springer Science & Business Media
Page : 225 pages
File Size : 51,6 Mb
Release : 2008-01-03
Category : Science
ISBN : 9783540753834

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Quantitative Information Fusion for Hydrological Sciences by Xing Cai,T.-C. Jim Yeh Pdf

In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? Here, two highly qualified scientists edit a volume that takes the angle of computational hydrology and envision one of the science’s future directions – namely, the quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.

Future Climate Scenarios: Regional Climate Modelling and Data Analysis

Author : Xander Wang,Yurui Fan,Shan Zhao,Yulei Xie,Hans Von Storch
Publisher : Frontiers Media SA
Page : 311 pages
File Size : 41,6 Mb
Release : 2022-03-11
Category : Science
ISBN : 9782889746477

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Future Climate Scenarios: Regional Climate Modelling and Data Analysis by Xander Wang,Yurui Fan,Shan Zhao,Yulei Xie,Hans Von Storch Pdf

River System Analysis and Management

Author : Nayan Sharma
Publisher : Springer
Page : 417 pages
File Size : 53,7 Mb
Release : 2016-11-13
Category : Technology & Engineering
ISBN : 9789811014727

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River System Analysis and Management by Nayan Sharma Pdf

The main thrust of this book is focused on addressing the various interrelated processes, analysis and activities bearing upon sound river management. River basins are complex systems. They are open systems with sometimes ill-defined boundaries. It refers to various aspects essential to achieve a sustainable development of river basins, including water demand and river management. Intensified erosion, land water degradation and stream flow pollution which call for appropriate river restoration and training measures. A viable theory for river management must reconcile the various processes that occur at different scales in order to develop a knowledge base by synthesizing research and field studies results. The book is intended to augment the knowledge base of behaviour of rivers and analyse the issues related to rivers so as to develop river system management techniques emerging from in-depth scientific analysis as a priority. This book pools together the expertise, the in-depth knowledge and the experience of the people representing different disciplines bearing on the related aspects of analysis and management of river systems. Audience The book is expected to be useful to academics, practitioners, scientists, water managers, environmentalists, administrators, researchers and students who are involved and have stakes in water management and river system analysis.

Treatise on Water Science

Author : Anonim
Publisher : Newnes
Page : 2131 pages
File Size : 53,5 Mb
Release : 2010-09-01
Category : Technology & Engineering
ISBN : 9780444531995

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Treatise on Water Science by Anonim Pdf

Water quality and management are of great significance globally, as the demand for clean, potable water far exceeds the availability. Water science research brings together the natural and applied sciences, engineering, chemistry, law and policy, and economics, and the Treatise on Water Science seeks to unite these areas through contributions from a global team of author-experts. The 4-volume set examines topics in depth, with an emphasis on innovative research and technologies for those working in applied areas. Published in partnership with and endorsed by the International Water Association (IWA), demonstrating the authority of the content Editor-in-Chief Peter Wilderer, a Stockholm Water Prize recipient, has assembled a world-class team of volume editors and contributing authors Topics related to water resource management, water quality and supply, and handling of wastewater are treated in depth