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024 7 _a10.1007/978-981-97-1316-5
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100 1 _aSingh, Vijay P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966231
245 1 0 _aHydrological Processes Modelling and Data Analysis
_h[electronic resource] :
_bA Primer /
_cby Vijay P. Singh, Rajendra Singh, Pranesh Kumar Paul, Deepak Singh Bisht, Srishti Gaur.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXXII, 285 p. 53 illus., 48 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aWater Science and Technology Library,
_x1872-4663 ;
_v127
505 0 _aChapter 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.
520 _aThis 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.
650 0 _aHydraulic engineering.
650 0 _aWater.
_965998
650 0 _aHydrology.
_965999
650 0 _aClimatology.
_962309
650 1 4 _aHydraulic Engineering.
650 2 4 _aWater.
_965998
650 2 4 _aClimate Sciences.
_967755
700 1 _aSingh, Rajendra.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974488
700 1 _aPaul, Pranesh Kumar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974489
700 1 _aBisht, Deepak Singh.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_973891
700 1 _aGaur, Srishti.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974490
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9789819713172
776 0 8 _iPrinted edition:
_z9789819713189
830 0 _aWater Science and Technology Library,
_x1872-4663 ;
_v127
_974491
856 4 0 _uhttps://doi.org/10.1007/978-981-97-1316-5
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