Earth Systems Data and Models

Hydrological Data Driven Modelling

A Case Study Approach

Authors: Remesan, Renji, Mathew, Jimson

  • 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
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eBook $99.00
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  • ISBN 978-3-319-09235-5
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Hardcover $129.00
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  • ISBN 978-3-319-09234-8
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  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
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  • ISBN 978-3-319-35028-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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.

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.

Table of contents (8 chapters)

  • Introduction

    Remesan, Renji (et al.)

    Pages 1-17

  • Hydroinformatics and Data-Based Modelling Issues in Hydrology

    Remesan, Renji (et al.)

    Pages 19-39

  • Model Data Selection and Data Pre-processing Approaches

    Remesan, Renji (et al.)

    Pages 41-70

  • Machine Learning and Artificial Intelligence-Based Approaches

    Remesan, Renji (et al.)

    Pages 71-110

  • Data Based Solar Radiation Modelling

    Remesan, Renji (et al.)

    Pages 111-150

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-09235-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-09234-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-35028-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Hydrological Data Driven Modelling
Book Subtitle
A Case Study Approach
Authors
Series Title
Earth Systems Data and Models
Series Volume
1
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-09235-5
DOI
10.1007/978-3-319-09235-5
Hardcover ISBN
978-3-319-09234-8
Softcover ISBN
978-3-319-35028-8
Series ISSN
2364-5830
Edition Number
1
Number of Pages
XV, 250
Number of Illustrations and Tables
113 b/w illustrations, 59 illustrations in colour
Topics