Overview
- Covers many aspects of data based modelling issues with application to Hydrology
- Brings readers up to date with clear case studies
- Enables engineers to appropriately identify modelling approaches and issues
- Includes supplementary material: sn.pub/extras
Part of the book series: Earth Systems Data and Models (ESDM, volume 1)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Hydrological Data Driven Modelling
Book Subtitle: A Case Study Approach
Authors: Renji Remesan, Jimson Mathew
Series Title: Earth Systems Data and Models
DOI: https://doi.org/10.1007/978-3-319-09235-5
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-09234-8Published: 17 November 2014
Softcover ISBN: 978-3-319-35028-8Published: 23 August 2016
eBook ISBN: 978-3-319-09235-5Published: 03 November 2014
Series ISSN: 2364-5830
Series E-ISSN: 2364-5849
Edition Number: 1
Number of Pages: XV, 250
Number of Illustrations: 113 b/w illustrations, 59 illustrations in colour
Topics: Hydrogeology, Hydrology/Water Resources, Geoengineering, Foundations, Hydraulics