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  • 1
    UID:
    b3kat_BV013951415
    Format: XVII, 742 S. , Ill., graph. Darst.
    ISBN: 0792367677
    Series Statement: Water science and technology library 37
    Language: English
    Subjects: Geography
    RVK:
    RVK:
    Keywords: Schnee ; Hydrologie ; Gletscher ; Hydrologie ; Aufsatzsammlung
    Author information: Singh, Vijay P. 1946-
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  • 2
    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
    RVK:
    RVK:
    RVK:
    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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  • 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_1006682457
    Format: 2 Bände (xli, 1258 Seiten)
    ISBN: 1402051794 , 9781402051791
    Series Statement: Water science and technology library volume 57
    Note: In Volume 2: Literaturverzeichnis Seite 1191-1213 , Mit Register in Volume 2
    Additional Edition: ISBN 1402051808
    Additional Edition: ISBN 9781402051807
    Language: English
    Subjects: Geography
    RVK:
    Keywords: Indien ; Hydrogeografie ; Wasserreserve ; Indien ; Wasserreserve ; Wasserhaushalt ; Indien ; Wasser ; Governance ; Indien ; Hydrologie
    Author information: Singh, Vijay P. 1946-
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  • 5
    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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  • 6
    UID:
    gbv_1741575079
    Format: 1 Online-Ressource(XII, 446 p. 262 illus., 230 illus. in color.)
    Edition: 1st ed. 2021.
    ISBN: 9783030591489
    Series Statement: Water Science and Technology Library 97
    Content: Intelligent Irrigation Water Management -- River Hydraulics -- Assessment and Monitoring of Hydrological Extremes -- Future Scenarios.
    Content: This book presents quality technical papers representing the recent developments in the field of hydrological modeling, water management and water governance including practical applications. The content covers multifarious aspects of hydrology and water resources. It includes an application of the Hydrologic Modelling System (HEC-HMS) which has been successfully demonstrated for assessment of floods. The authors suggest an approach for the mitigation of cyclone disaster through a case study of the Phailin cyclone, whilst considering mitigating pluvial flooding, developing suitable management strategies. The book includes chapters discussing the detrended fluctuation analysis which is carried out for multifractal description of droughts. Drought characteristics are analyzed, and drought indices evolved for drought preparedness/management. The use of science in community planning under changing climate is also studied and discussed. The authors present and experimental study wherein hydraulic coefficients are calibrated by using vertical orifice. A cross flow hybrid hydrokinetic turbine is also evaluated for performance, and high head regulating radial gate designed and studied its sensitivity. This book will appeal to researchers, field practitioners, NGO and other Governmental as well as private water practitioners .
    Additional Edition: ISBN 9783030591472
    Additional Edition: ISBN 9783030591496
    Additional Edition: ISBN 9783030591502
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030591472
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030591496
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030591502
    Language: English
    Keywords: Hydrometeorologie ; Hydrologie ; Wasserhaushalt ; Wasserkreislauf ; Starkregen ; Überschwemmung ; Sri Lanka ; Überflutung ; Dürre ; Hochwasser ; Trockenheit ; Prognose ; Indien ; Bewässerungsplanung ; Landwirtschaft ; Bewässerung ; Abflussregime ; Flussbett ; Wasserströmung ; Modellierung
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  • 7
    UID:
    gbv_1741575060
    Format: 1 Online-Ressource(XI, 550 p. 265 illus., 231 illus. in color.)
    Edition: 1st ed. 2021.
    ISBN: 9783030580513
    Series Statement: Water Science and Technology Library 96
    Content: 1. Application of RS and GIS in Watershed Management -- 2. Application of RS and GIS in Agricultural Water Management -- 3. Hydrological Modeling -- 4. Intelligent Water Management -- 5. Water Governance.
    Content: This book focusses on hydrological modeling, water management, and water governance. It covers the applications of remote sensing and GIS tools and techniques for land use and land cover classifications, estimation of precipitation, evaluation of morphological changes, and monitoring of soil moisture variability. Moreover, remote sensing and GIS techniques have been applied for crop mapping to assess cropping patterns, computation of reference crop evapotranspiration, and crop coefficient. Hydrological modeling studies have been carried out to address various issues in the water sector. MODFLOW model was successfully applied for groundwater modeling and groundwater recharge estimation. Runoff modeling has been carried out to simulate the snowmelt runoff together with the rainfall and sub-surface flow contributions for snow-fed basins. A study has been included, which predicts the impact of the land use and land cover on stream flow. Various problems in the water sector have been addressed employing hydrological models such as SWAT, ArcSWAT, and VIC. An experimental study has been presented wherein the laboratory performance of rainfall simulator has been evaluated. Hydrological modeling studies involving modifications in the curve number methodology for simulation of floods and sediment load have also been presented. This book is useful for academicians, water practitioners, scientists, water managers, environmentalists, and administrators, NGOs, researchers, and students who are involved in water management with the focus on hydrological modeling, water management, and water governance.. .
    Additional Edition: ISBN 9783030580506
    Additional Edition: ISBN 9783030580520
    Additional Edition: ISBN 9783030580537
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030580506
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030580520
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030580537
    Language: English
    Keywords: Indien ; Flusssystem ; Einzugsgebiet ; Abflussregime ; Grundwasser ; Indien ; Hydrologie ; Modellierung ; Fernerkundung
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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
    Library Location Call Number Volume/Issue/Year Availability
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