Hydrological Data Driven Modelling: A Case Study Approach - Softcover

Remesan, Renji; Mathew, Jimson

Softcover

ISBN 10: 3319092367 ISBN 13: 9783319092362

Publisher: Springer, 2014

Synopsis

Introduction.- Hydroinformatics and Data based Modelling Issues in Hydrology.- Hydroinformatics and Data based Modelling Issues in Hydrology.- Model Data Selection and Data Pre-processing Approaches.- Machine Learning and Artificial Intelligence Based Approaches.- Data based Solar Radiation Modelling.- Data based Rainfall-Runoff Modelling.- Data based Evapotranspiration Modelling.- Application of Statistical Blockade in Hydrology.

About this title

About the Author

Dr Renji Remesan is a research fellow in Cranfield Water Science Institute at Cranfield University in United Kingdom. Dr Remesan’s research interests include non-linear modelling of hydro-metrological time series, artificial intelligence in hydrology, numerical weather modelling and river basin/catchment modelling using physically/ conceptual lumped models and distributed hydrological models. He is an Associate Fellow of the UK Higher Education Academy and editorial member of the Journal of Earth science and Climate change. He holds a PhD from the University of Bristol and an M.Tech from the Indian Institute of Technology, Kharagpur.

Dr Jimson Mathew received a PhD in Computer Science from University of Bristol, UK. He has held positions with the Centre for Wireless Communications, National University of Singapore, Bell Laboratories Research (Lucent Technologies) North Ryde, Australia and Royal Institute of Technology (KTH), Stockholm, Sweden.  Since 2005, he has been with the Department of Computer Science, University of Bristol, UK. His research interest primarily focuses on Fault-tolerant Computing.

Edition details

• Publisher: Springer
• Publication date: 2014
• ISBN 10: 3319092367
• ISBN 13: 9783319092362
• Binding: Paperback
• Language: English
• Number of pages: 268