Sahu | Climate Variability and Ramifications on River Hydrology | Buch | 978-0-8153-5286-0 | sack.de

Buch, Englisch, 260 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Sahu

Climate Variability and Ramifications on River Hydrology


1. Auflage 2026
ISBN: 978-0-8153-5286-0
Verlag: Taylor & Francis Inc

Buch, Englisch, 260 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

ISBN: 978-0-8153-5286-0
Verlag: Taylor & Francis Inc


This book is a detailed and timely documentation on recent climate variability phenomenon and ramifications on river hydrology; particularly Indo-Pacific climate impacts. For students and professionals it will serve as a brief explanation to land-ocean-atmosphere interactions and is an excellent introduction to hydrometeorological study. While it is well known that the Indo-Pacific climate largely influences large-scale phenomenon such as monsoons, it is unclear how such impacts manifest regionally, such as at a river catchment scale. The book will examine the direct impact of the Indian Ocean Dipole (IOD), ENSO and ENSO Modoki on the regional river discharges.

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Autoren/Hrsg.


Weitere Infos & Material


Introduction: Background, aims, objectives and scopes. River hydrology-An introduction: Importance of river hydrology, features and characteristics, impact of climate variability on hydrology. River morphometry: Salient features, drainage basin characteristics, stream order, stream length, water retention within drainage area, streamflow. Indo-Pacific climate variability: Definition, characteristic and impact of different types of climate variability of Indo–Pacific basins. Indian Ocean Dipole and River Hydrology: Backgrounds, methods and approaches of downscaling, DMI Index and relevance, Case study of Citarum river of Indonesia. ENSO Modoki and River hydrology: Backgrounds, methods and approaches of Downscaling of Modoki, EMI Index and relevance, case study of Paranaiba river of Brazil. Monsoon and river hydrology: Features and characteristics, Monsoon Index and relevance, Case study from Mahanadi river of India. Streamflow predictability: processes and methods, data sources, use of tools, predictability and societal uses. Conclusion.


Dr. Netrananda Sahu is an assistant professor at the Department of Geography, Delhi School of Economics, University of Delhi. Dr. Sahu has won awards including the Young Researchers Award from Kyoto University and co-authored Dyanmics of Rural Development in Delhi.



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