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Author: Jiu-Fu Liu
Publisher: BoD – Books on Demand
ISBN: 1789235588
Category : Science
Languages : en
Pages : 298
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Book Description
For the incisive tests of hydrological theory, manipulation experiments can create particular conditions, plan and define boundaries and inner structures, isolate individual mechanisms, and push systems beyond the range in a PhD timescale. The goals of this book are to stimulate the approach of manipulation in promoting watershed hydrological experimentation and to try to demonstrate that the controlled and artificial experiments are the promising way of useful and effective generation of tests of new theories. This book is organized on the basis of nine different manipulation types from six countries including field lysimeter, field runoff plot, field manipulated experimental basin, field artificial catchment, laboratory river segment, laboratory pedon (rock), laboratory lysimeter, laboratory hillslope, and phytotron artificial catchment.
Author: Jiu-Fu Liu
Publisher: BoD – Books on Demand
ISBN: 1789235588
Category : Science
Languages : en
Pages : 298
Get Book Here
Book Description
For the incisive tests of hydrological theory, manipulation experiments can create particular conditions, plan and define boundaries and inner structures, isolate individual mechanisms, and push systems beyond the range in a PhD timescale. The goals of this book are to stimulate the approach of manipulation in promoting watershed hydrological experimentation and to try to demonstrate that the controlled and artificial experiments are the promising way of useful and effective generation of tests of new theories. This book is organized on the basis of nine different manipulation types from six countries including field lysimeter, field runoff plot, field manipulated experimental basin, field artificial catchment, laboratory river segment, laboratory pedon (rock), laboratory lysimeter, laboratory hillslope, and phytotron artificial catchment.
Author: Jiu-Fu Liu
Publisher:
ISBN: 9781789235593
Category : Physical geography
Languages : en
Pages : 296
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Book Description
For the incisive tests of hydrological theory, manipulation experiments can create particular conditions, plan and define boundaries and inner structures, isolate individual mechanisms, and push systems beyond the range in a PhD timescale. The goals of this book are to stimulate the approach of manipulation in promoting watershed hydrological experimentation and to try to demonstrate that the controlled and artificial experiments are the promising way of useful and effective generation of tests of new theories. This book is organized on the basis of nine different manipulation types from six countries including field lysimeter, field runoff plot, field manipulated experimental basin, field artificial catchment, laboratory river segment, laboratory pedon (rock), laboratory lysimeter, laboratory hillslope, and phytotron artificial catchment.
Author: R.S. Govindaraju
Publisher: Springer Science & Business Media
ISBN: 9401593418
Category : Science
Languages : en
Pages : 338
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Book Description
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.
Author: Renji Remesan
Publisher: Springer
ISBN: 3319092359
Category : Science
Languages : en
Pages : 261
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Book Description
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.
Author: Fi-John Chang
Publisher: MDPI
ISBN: 3039368044
Category : Technology & Engineering
Languages : en
Pages : 274
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Book Description
The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information from large amounts of data to solve complex problems. The fourteen research papers published in this Special Issue contribute significantly to the uncertainty assessment of operational hydrologic forecasting under changing environmental conditions and the promotion of water resources management by using the latest advanced techniques, such as AI techniques. The fourteen contributions across four major research areas: (1) machine learning approaches to hydrologic forecasting; (2) uncertainty analysis and assessment on hydrological modeling under changing environments; (3) AI techniques for optimizing multi-objective reservoir operation; (4) adaption strategies of extreme hydrological events for hazard mitigation. The papers published in this issue will not only advance water sciences but also help policymakers to achieve more sustainable and effective water resource management.
Author: Vijay P. Singh
Publisher: Allied Publishers
ISBN: 9788177645477
Category : Groundwater
Languages : en
Pages : 588
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Book Description
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309060761
Category : Science
Languages : en
Pages : 149
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Book Description
Hydrologic science, an important, interdisciplinary science dealing with the occurrence, distribution, and properties of water on Earth, is key to understanding and resolving many contemporary, large-scale environmental issues. The Water Science and Technology Board used the opportunity of its 1997 Abel Wolman Distinguished Lecture to assess the vitality of the hydrologic sciences by the hydrologic community. The format included focus by lecturer Thomas Dunne on the intellectual vitality of the hydrologic sciences, followed by a symposium featuring several invited papers and discussions. Hydrologic Sciences is a compilation of the Wolman Lecture and the papers, preceded by a summarizing overview. The volume stresses a number of needs for furtherance of hydrologic science, including development of a coherent body of transferable theory and an intellectual center for the science, communication across multiple geo- and environmental science disciplines, appropriate measurements and observations, and provision of central guidance for the field.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309051428
Category : Nature
Languages : en
Pages : 300
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Book Description
As demand for water increases, water managers and planners will need to look widely for ways to improve water management and augment water supplies. This book concludes that artificial recharge can be one option in an integrated strategy to optimize total water resource management and that in some cases impaired-quality water can be used effectively as a source for artificial recharge of ground water aquifers. Source water quality characteristics, pretreatment and recharge technologies, transformations during transport through the soil and aquifer, public health issues, economic feasibility, and legal and institutional considerations are addressed. The book evaluates three main types of impaired quality water sourcesâ€"treated municipal wastewater, stormwater runoff, and irrigation return flowâ€"and describes which is the most consistent in terms of quality and quantity. Also included are descriptions of seven recharge projects.
Author: Vijay P Singh
Publisher: Springer
ISBN: 9811058016
Category : Science
Languages : en
Pages : 718
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Book Description
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.
Author: M. Arif Wani
Publisher: Springer
ISBN: 9789811567582
Category : Technology & Engineering
Languages : en
Pages : 300
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Book Description
This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.
