This book gives an overview of various aspects of climate change by integrating global climate models, downscaling approaches, and hydrological models. It also covers themes that help in understanding climate change in a holistic manner. The book includes worked-out examples, revision questions, exercise problems, and case studies, making it relevant for use as a textbook in graduate courses and professional development programs. The book will serve well researchers, students, as well as professionals working in the area of hydroclimatology.
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
59
19 s/w Abbildungen, 59 farbige Abbildungen
XVI, 266 p. 78 illus., 59 illus. in color. With online files/update.
Maße
Höhe: 241 mm
Breite: 160 mm
Dicke: 21 mm
Gewicht
ISBN-13
978-981-10-6109-7 (9789811061097)
DOI
10.1007/978-981-10-6110-3
Schweitzer Klassifikation
Prof. K.Srinivasa Raju is Professor, Department of Civil Engineering, Birla Institute of Technology and Science, Pilani- Hyderabad Campus, India. He completed M.Tech from Indian Institute of Technology (IIT) Chennai and Ph.D from IIT Kharagpur in Water Resources Engineering. He worked with Prof Lucien Duckstein in the field of Multicriterion Decision Making (MCDM) with reference to Water Resources Planning during his postdoctoral programme. His research interests include Climate Hydrology, Water Resources Systems, MCDM and Soft Computing applications in Water Resources Engineering. He has published more than 120 papers in various reputed journals and conferences and has been reviewer for more than 38 international journals. He has co-authored one book entitled "Multicriterion Analysis in Engineering and Management" along with Prof D.Nagesh Kumar, published by Prentice Hall of India (PHI), New Delhi. He is presently Associate Editor, ISH Journal of Hydraulic Engineering, Taylor & Francis. He completed number of sponsored projects including two collaborative projects with Indian Institute of Science, Bangalore on Climate Modeling and Integrated Urban Flood Management. More information is available at http://www.bits-pilani.ac.in/hyderabad/ksraju/Profile
Prof. D. Nagesh Kumar is working in the Department of Civil Engineering, Indian Institute of Science (IISc), Bangalore, India since May 2002. Earlier he worked at IIT, Kharagpur (1994-2002) and National Remote Sensing Centre, Hyderabad (1992-1994). He is also the Chairman, Centre for Earth Sciences, and Associate Faculty, Interdisciplinary Centre for Water Research and Divecha Centre for Climate Change, IISc, Bangalore. He obtained Ph.D (Engg) from IISc, Bangalore, in 1992. He visited Utah State University, USA in 1999 for 6 months on BOYSCAST fellowship. He worked as Visiting Professor in EMSE, Saint-Etienne, France, in 2012. His research interests include Climate Hydrology, Water Resources Systems, Climate change Impact on Water Resources, Artificial Neural Networks, Evolutionary Algorithms, Fuzzy logic, MCDM and Remote Sensing & Geographical Information System applications in Water Resources Engineering. He has published more than 180 papers in leading international journals and conferences in his research fields. He has co-authored four text books viz., "Multicriterion Analysis in Engineering and Management" published by PHI, New Delhi and "Floods in a Changing Climate: Hydrologic Modeling" published by Cambridge University Press, U.K., "Hydroclimatic Teleconnection: Indian Perspective" and "Integrated Modelling for Optimal Reservoir Operation for Irrigation", published by Scholars' Press, Germany. He is Associate Editor for ASCE Journal of Hydrologic Engineering. He is the Editor-in-Chief of Open Water Journal, IWA Publishing and in the Editorial Board of Open Hydrology Journal, ISH Journal of Hydraulic Engg., Journal of AppliedComputational Intelligence and Soft Computing. He has been reviewer for more than 60 international journals including Water Resources Research and Journal of Hydrology. More information is available at http://civil.iisc.ernet.in/~nagesh/
