04624nam a22005535i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172072001600185072002300201072001500224100008400239245018200323250001800505264007200523300006600595336002600661337002600687338003600713347002400749490006000773505062400833520177501457650002703232650001803259650002203277650002403299650002703323650001803350650002903368700008503397700008903482700008903571700008303660710003403743773002603777776003603803776003603839776003603875830006703911856004603978912001404024912001504038999001704053978-981-97-1316-5DE-He21320251030111758.0cr nn 008mamaa240401s2024    si |    s    |||| 0|eng d  a97898197131659978-981-97-1316-57 a10.1007/978-981-97-1316-52doi 4aTC1-1800 7aTNF2bicssc 7aTEC0140002bisacsh 7aTNF2thema1 aSingh, Vijay P.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut96623110aHydrological Processes Modelling and Data Analysish[electronic resource] :bA Primer /cby Vijay P. Singh, Rajendra Singh, Pranesh Kumar Paul, Deepak Singh Bisht, Srishti Gaur.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXXII, 285 p. 53 illus., 48 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aWater Science and Technology Library,x1872-4663 ;v1270 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.  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. 0aHydraulic engineering. 0aWater.965998 0aHydrology.965999 0aClimatology.96230914aHydraulic Engineering.24aWater.96599824aClimate Sciences.9677551 aSingh, Rajendra.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9744881 aPaul, Pranesh Kumar.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9744891 aBisht, Deepak Singh.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9738911 aGaur, Srishti.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9744902 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981971315808iPrinted edition:z978981971317208iPrinted edition:z9789819713189 0aWater Science and Technology Library,x1872-4663 ;v12797449140uhttps://doi.org/10.1007/978-981-97-1316-5  aZDB-2-EES  aZDB-2-SXEE  c58850d58850