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  • Online Resource  (8)
  • Singh, Vijay P.  (8)
  • Singh, Nagendra
  • Hydrologie  (8)
  • 1
    UID:
    b3kat_BV039850479
    Format: 1 Online-Ressource (XXX, 476 Seiten) , Illustrationen, Diagramme, Karten (farbig)
    ISBN: 9789400720015
    Series Statement: Water science and technology library volume 66
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-94-007-2000-8
    Language: English
    Subjects: Geography
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    Keywords: Indien ; Yamuna ; Einzugsgebiet ; Hydrologie ; Wassergüte ; Wasserhaushalt ; Yamunatal ; Fluss ; Wassernutzung ; Wasserverschmutzung
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
    Author information: Singh, Vijay P. 1946-
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  • 2
    UID:
    b3kat_BV047135703
    Format: 1 Online-Ressource (xiv, 204 Seiten) , Illustrationen
    ISBN: 9783030647773
    Series Statement: Water science and technology library volume 99
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-64776-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-64778-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-64779-7
    Language: English
    Keywords: Hydrologie ; Einzugsgebiet ; Modellierung ; Wasserwirtschaft ; Governance
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Singh, Vijay P. 1946-
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  • 3
    Online Resource
    Online Resource
    Dordrecht : Springer Netherlands
    UID:
    b3kat_BV045177059
    Format: 1 Online-Ressource (XVI, 613 p)
    ISBN: 9789401705400
    Series Statement: Water Science and Technology Library 47
    Content: The Brahmaputra River is a precious gift of Nature to India and especially to its northeast region. The meaning of this gift becomes evident immediately when one considers the vastness of water resources which the Brahmaputra River basin possesses. Nearly 30% of India's water resources potential and 41% of the country's total hydropower potential are found in this basin. In terms of the average discharge, the Brahmaputra River is the fifth largest river in the world. Traversing a distance of about 2,900 kilometers from Tibet at an elevation of 5,150 meters to the Bay of Bengal and draining an area of nearly 1. 6 million square kilometres shared by Tibet, India and Bangladesh, it has shaped the social, economic, cultural, religious, political, and linguistic fabric of the northeast region of India from time immemorial. Its majestic disposition is nothing short of poetic. The northeast region has a colourful ethnic and non-ethnic population and represents almost a miniature India. Its biodiversity of flora and fauna and other natural ecosystems is unsurpassable. The northeast region of India is endowed with enormous natural resources and the huge potential of the Brahmaputra River basin. These resources notwithstanding, this part of India remains woefully underdeveloped. The current state of low development of the northeast region can arguably be attributed to a multitude of factors
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789048164813
    Language: English
    Keywords: Assam ; Brahmaputra ; Einzugsgebiet ; Hydrologie ; Wasserwirtschaft ; Entwicklung ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
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  • 4
    UID:
    gbv_1804034800
    Format: 1 Online-Ressource (xvi, 315 Seiten) , Diagramme, Illustrationen
    ISBN: 9781009025317 , 9781316516843
    Content: A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis.
    Additional Edition: ISBN 9781316516843
    Additional Edition: Erscheint auch als Druck-Ausgabe Singh, Vijay P. Generalized frequency distributions for environmental and water engineering Cambridge, United Kingdom : Cambridge University Press, 2022 ISBN 9781316516843
    Language: English
    Keywords: Angewandte Hydrologie ; Niederschlag ; Wahrscheinlichkeitsverteilung ; Wahrscheinlichkeitsverteilung ; Angewandte Mathematik ; Datenanalyse ; Hydrologie ; Durchfluss ; Niederschlagsmessung ; Wahrscheinlichkeitsmaß ; Entropie ; Datenaufbereitung ; Hydrologie ; Stochastisches Modell
    Author information: Singh, Vijay P. 1946-
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  • 5
    Online Resource
    Online Resource
    Dordrecht : Springer Netherlands
    UID:
    b3kat_BV045176621
    Format: 1 Online-Ressource (XV, 368 p)
    ISBN: 9789401714310
    Series Statement: Water Science and Technology Library 30
    Content: Since the pioneering work of Shannon in the late 1940's on the development of the theory of entropy and the landmark contributions of Jaynes a decade later leading to the development of the principle of maximum entropy (POME), the concept of entropy has been increasingly applied in a wide spectrum of areas, including chemistry, electronics and communications engineering, data acquisition and storage and retreival, data monitoring network design, ecology, economics, environmental engineering, earth sciences, fluid mechanics, genetics, geology, geomorphology, geophysics, geotechnical engineering, hydraulics, hydrology, image processing, management sciences, operations research, pattern recognition and identification, photogrammetry, psychology, physics and quantum mechanics, reliability analysis, reservoir engineering, statistical mechanics, thermodynamics, topology, transportation engineering, turbulence modeling, and so on. New areas finding application of entropy have since continued to unfold. The entropy concept is indeed versatile and its applicability widespread. In the area of hydrology and water resources, a range of applications of entropy have been reported during the past three decades or so. This book focuses on parameter estimation using entropy for a number of distributions frequently used in hydrology. In the entropy-based parameter estimation the distribution parameters are expressed in terms of the given information, called constraints. Thus, the method lends itself to a physical interpretation of the parameters. Because the information to be specified usually constitutes sufficient statistics for the distribution under consideration, the entropy method provides a quantitative way to express the information contained in the distribution
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789048150892
    Language: English
    Keywords: Parameterschätzung ; Hydrologie ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 6
    Online Resource
    Online Resource
    Dordrecht : Springer Netherlands
    UID:
    b3kat_BV045176582
    Format: 1 Online-Ressource (XIV, 482 p)
    ISBN: 9789401714396
    Series Statement: Water Science and Technology Library 15
    Content: Environmental Hydrology presents a unified approach to the role of hydrology in environmental planning and management, emphasizing the consideration of the hydrological continuum in determining the fate and migration of chemicals as well as micro-organisms in the environment, both below the ground as well as on it. The eco-hydrological consequences of environmental management are also discussed, and an up-to-date account of the mathematical modeling of pollution is also presented. Audience: Invaluable reading for senior undergraduates and beginning graduates, civil, environmental, and agricultural engineers, and geologists and climatologists
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789048145737
    Language: English
    Subjects: Geography , General works
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    Keywords: Hydrologie ; Ökosystem
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    Online Resource
    Online Resource
    Dordrecht : Springer Netherlands
    UID:
    b3kat_BV045178268
    Format: 1 Online-Ressource (XVI, 446 p)
    ISBN: 9789401587457
    Series Statement: Water Science and Technology Library 26
    Content: The last few years have witnessed an enormous interest in application of GIS in hydrology and water resources. This is partly evidenced by organization of sev eral national and international symposia or conferences under the sponsorship of various professional organizations. This increased interest is, in a large measure, in response to growing public sensitivity to environmental quality and management. The GIS technology has the ability to capture, store, manipulate, analyze, and visualize the diverse sets of geo-referenced data. On the other hand, hydrology is inherently spatial and distributed hydrologic models have large data requirements. The integration of hydrology and GIS is therefore quite natural. The integration involves three major components: (1) spatial data construction, (2) integration of spatial model layers, and (3) GIS and model interface. GIS can assist in design, calibration, modification and comparison of models. This integration is spreading worldwide and is expected to accelerate in the foreseeable future. Substantial op portunities exist in integration of GIS and hydrology. We believe there are enough challenges in use of GIS for conceptualizing and modeling complex hydrologic processes and for globalization of hydrology. The motivation for this book grew out of the desire to provide under one cover a range of applications of GIS tech nology in hydrology. It is hoped that the book will stimulate others to write more comprehensive texts on this subject of growing importance
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789048147519
    Language: English
    Subjects: Geography
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    Keywords: Geoinformationssystem ; Hydrologie
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_1746360992
    Format: 1 Online-Ressource(XIV, 204 p. 189 illus., 133 illus. in color.)
    Edition: 1st ed. 2021.
    ISBN: 9783030647773
    Series Statement: Water Science and Technology Library 99
    Content: Introduction -- Mathematical Background -- Data Preprocessing -- Neural Network -- Training a Neural Network -- Updating Weights -- Improving model performance -- Advanced Neural Network Algorithms -- Deep learning for time series -- Deep learning for spatial datasets -- Tensorflow and Keras Programming for Deep Learning -- Hydrometeorological Applications of deep learning -- Environmental Applications of deep learning.
    Content: This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.
    Additional Edition: ISBN 9783030647766
    Additional Edition: ISBN 9783030647780
    Additional Edition: ISBN 9783030647797
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030647766
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030647780
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030647797
    Language: English
    Keywords: Hydrometeorologie ; Hydrologie ; Maschinelles Lernen ; Angewandte Mathematik ; Wasserhaushalt ; Prognose ; Neuronales Netz ; Modellierung ; Mathematisches Modell
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