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  • 1
    UID:
    b3kat_BV049662384
    Format: XVI, 312 Seiten
    Edition: 1st ed. 2024.
    ISBN: 9789819713158
    Series Statement: Water Science and Technology Library 127
    Content: Chapter 1. Introduction -- Chapter 2. Data Availability and Acquisition -- Chapter 3. Time-Series Analysis -- Chapter 4. Remote Sensing Driven Data Analysis and Geographic Information Systems (GIS) -- Chapter 5. Climate Change Impact Analysis -- Chapter 6. Land Use Land Cover (LULC) Change Analysis -- Chapter 7. Integrated Modelling Systems -- Chapter 8. Extreme Event Analysis -- Chapter 9. Uncertainty Analysis -- Chapter 10. Machine Learning (ML) /Artificial Intelligence (AI) in Water Resources -- Chapter 11. Emerging Fields in Hydrology -- Chapter 12. Case Study of Examples -- Chapter 13. Way Forward -- Index.
    Content: This book provides a state-of-the-art overview of the concepts and methodologies of data and modelling-driven hydrological analyses and their wide range of practical applications. The book is driven by the realisation that science, technology, engineering, and mathematics (STEM) concepts are essential in engineering hydrology to produce well-trained hydrologists. Such hydrologists will be equipped to face future societal challenges that require enhanced information and communication technology tools and integration of technical and non-technical areas. The book contains 12 chapters that introduce the principles of hydrological data analysis and highlight the current and emerging tools and techniques for analysing hydrologic data. The book describes the types of data typically used in hydrological analyses. It highlights the revolutionary technological advancements made toward hydrological data collection, including the use of drones and smartphones. The foremost objective of the book is to present the hydrological data analysis procedures. It explains the steps involved in data analysis for easy understanding of the reader, including students and professionals. This book presents case studies that demonstrate step-by-step procedures involved in typical analysis problems and may guide students and professionals in planning and executing steps to analyse the problem at hand. Case study examples will guide them to understand the intricacies of hydrological data analysis. It provides the readers with a complete package to enrich their understanding of the hydrological data analysis tools and techniques. Subsequently, as well-trained hydrologists, they could execute their learning to meet any specific grand challenge of the twenty-first century.
    Language: English
    Keywords: Hydrologie ; Klimatologie ; Wasser ; Wasserbau ; Datenanalyse ; Methode ; Fallstudiensammlung
    Author information: Singh, Vijay P. 1946-
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  • 2
    Book
    Book
    Dordrecht [u.a.] : Kluwer
    UID:
    b3kat_BV006223570
    Format: XI, 595 S. , Ill., graph. Darst.
    ISBN: 0792316967
    Series Statement: Water science and technology library 9
    Language: English
    Subjects: Engineering , Earth Sciences
    RVK:
    RVK:
    Keywords: Wasserreserve ; Entropie ; Wasserreserve ; Energieverlust ; Hydrologie ; Entropie ; Wasserkraft ; Energieverlust ; Konferenzschrift ; Konferenzschrift
    Author information: Singh, Vijay P. 1946-
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  • 3
    Online Resource
    Online Resource
    Dordrecht : Springer Netherlands
    UID:
    b3kat_BV045178739
    Format: 1 Online-Ressource (XX, 516 p)
    ISBN: 9789401701471
    Series Statement: Water Science and Technology Library 42
    Content: The Soil Conservation Service (SCS) curve number (CN) method is one of the most popular methods for computing the runoff volume from a rainstorm. It is popular because it is simple, easy to understand and apply, and stable, and accounts for most of the runoff producing watershed characteristics, such as soil type, land use, hydrologic condition, and antecedent moisture condition. The SCS-CN method was originally developed for its use on small agricultural watersheds and has since been extended and applied to rural, forest and urban watersheds. Since the inception of the method, it has been applied to a wide range of environments. In recent years, the method has received much attention in the hydrologic literature. The SCS-CN method was first published in 1956 in Section-4 of the National Engineering Handbook of Soil Conservation Service (now called the Natural Resources Conservation Service), U. S. Department of Agriculture. The publication has since been revised several times. However, the contents of the methodology have been nonetheless more or less the same. Being an agency methodology, the method has not passed through the process of a peer review and is, in general, accepted in the form it exists. Despite several limitations of the method and even questionable credibility at times, it has been in continuous use for the simple reason that it works fairly well at the field level
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789048162253
    Language: English
    Keywords: Bodenschutz ; Regen ; Abflussmessung ; Methode ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
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  • 4
    Book
    Book
    Dordrecht ; Boston ; London : Kluwer Academic Publishers
    UID:
    b3kat_BV025329493
    Format: XX, 513 Seiten , Illustrationen
    ISBN: 1402011326
    Series Statement: Water science and technology library volume 42
    Note: Literaturverz. S. [481] - 487
    Language: English
    Subjects: Geography
    RVK:
    Keywords: Bodenschutz ; Regen ; Abflussmessung ; Methode ; Aufsatzsammlung
    Author information: Singh, Vijay P. 1946-
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  • 5
    Online Resource
    Online Resource
    Basel ; Beijing ; Wuhan ; Barcelona ; Belgrade : MDPI
    UID:
    b3kat_BV045523778
    Format: 1 Online-Ressource
    ISBN: 9783038972235
    Note: This is a reprint of articles from the special issue published online in the open access journal Entropy (ISSN 1099-4300) from 2017 to 2018 (available at: http://www.mdpi.com/journal/entropy/special_issues/water_engineering).
    Additional Edition: Erscheint auch als Druck-Ausgabe, paperback ISBN 978-3-03897-222-8
    Language: English
    Keywords: Wasserwirtschaft ; Entropie ; Umweltwissenschaften ; Entropie ; Aufsatzsammlung
    URL: Volltext  (kostenfrei)
    Author information: Singh, Vijay P. 1946-
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  • 6
    Book
    Book
    Littleton, Colo. : Water Resources Publ.
    UID:
    b3kat_BV000115321
    Format: VIII, 700 S. , Kt.
    ISBN: 0918334446
    Language: English
    Keywords: Statistik ; Methode ; Regen ; Statistik ; Methode ; Abfluss ; Abflussmenge ; Konferenzschrift
    Author information: Singh, Vijay P. 1946-
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  • 7
    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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