Hydrologic Time Series Analysis: Theory and Practice

• Κύριοι συγγραφείς: Machiwal, Deepesh (Συγγραφέας), Jha, Madan Kumar (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands, 2012.
• Θέματα: Earth sciences.; Hydrogeology.; Atmospheric sciences.; Statistics.; Engineering geology.; Engineering > Geology.; Foundations.; Hydraulics.; Environment.; Earth Sciences.; Atmospheric Sciences.; Geoengineering, Foundations, Hydraulics.; Environment, general.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

 There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive  reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies. 

 Preface -- Acknowledgements -- 1. Introduction -- Part I: Tools/Techniques for Time Series Analysis -- 2. Statistical Characteristics of Hydrologic Time Series -- 3. Methods for Testing Normality of Time Series -- 4. Methods for Time Series Analysis -- 5. Stochastic Modelling of Time Series -- 6. Current Status of Time Series Analysis in Hydrological Sciences -- Part II: Salient Case Studies -- 7. Efficacy of Time Series Tests: A Critical Assessment -- 8. Trend and Homogeneity in Subsurface Hydrological Variables: Case Study in a Hard-Rock Aquifer of Western India -- 9. Analysis of Streamflow Trend in the Susquehanna River Basin, USA -- 10. Analysis of Trends in Low-Flow Time Series of Canadian Rivers -- 11. Exploring Trends in Climatological  Time Series of Orissa, India Using Nonparametric Trend Tests.- 12. Analysis of Trend and Periodicity in Long-Term Annual Rainfall Time Series of Nigeria -- Appendices -- References -- Index.