04847nam a22006015i 4500 978-981-97-1316-5 DE-He213 20251030111758.0 cr nn 008mamaa 240401s2024 si | s |||| 0|eng d 9789819713165 978-981-97-1316-5 10.1007/978-981-97-1316-5 doi TC1-1800 TNF bicssc TEC014000 bisacsh TNF thema Singh, Vijay P. author. aut http://id.loc.gov/vocabulary/relators/aut 66231 Hydrological Processes Modelling and Data Analysis [electronic resource] : A Primer / by Vijay P. Singh, Rajendra Singh, Pranesh Kumar Paul, Deepak Singh Bisht, Srishti Gaur. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XXII, 285 p. 53 illus., 48 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Water Science and Technology Library, 1872-4663 ; 127 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. 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. Hydraulic engineering. Water. 65998 Hydrology. 65999 Climatology. 62309 Hydraulic Engineering. Water. 65998 Climate Sciences. 67755 Singh, Rajendra. author. aut http://id.loc.gov/vocabulary/relators/aut 74488 Paul, Pranesh Kumar. author. aut http://id.loc.gov/vocabulary/relators/aut 74489 Bisht, Deepak Singh. author. aut http://id.loc.gov/vocabulary/relators/aut 73891 Gaur, Srishti. author. aut http://id.loc.gov/vocabulary/relators/aut 74490 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819713158 Printed edition: 9789819713172 Printed edition: 9789819713189 Water Science and Technology Library, 1872-4663 ; 127 74491 https://doi.org/10.1007/978-981-97-1316-5 ZDB-2-EES ZDB-2-SXEE 58850 58850