Computational Intelligence Techniques in Earth and Environmental Sciences by Tanvir IslamComputational Intelligence Techniques in Earth and Environmental Sciences by Tanvir Islam

Computational Intelligence Techniques in Earth and Environmental Sciences

byTanvir IslamEditorPrashant K. Srivastava, Manika Gupta

Hardcover | February 27, 2014

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Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.
Dr. Tanvir Islam is working as a post-doctoral scientist with CIRA/CSU at the NOAA/NESDIS Center for Satellite Applications and Research (STAR), College Park, MD, USA. Before joining NOAA/NESDIS, he worked as a visiting scientist/research collaborator at the University of Tokyo, Japan. He finished his PhD from the Department of Civil E...
Title:Computational Intelligence Techniques in Earth and Environmental SciencesFormat:HardcoverDimensions:266 pagesPublished:February 27, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9401786410

ISBN - 13:9789401786416

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Table of Contents

Chapter 1: Computational intelligence techniques and applications.- Chapter 2: Vector Autoregression (VAR) Modeling and Forecasting on Temperature, Humidity and Cloud Coverage.- Chapter 3: Exploring the Behavior and Changing Trends of Rainfall and Temperature using Statistical Computing Techniques.- Chapter 4: Time Series Model Building and Forecasting on Maximum Temperature Data.- Chapter 5: GIS Visualization of Climate Change and Prediction of Human Responses. Chapter 6: Markov Chain Analysis of Weekly Rainfall Data for Predicting Agricultural Drought.- Chapter 7: Forecasting tropical cyclones in Bangladesh: a Markov renewal approach.- Chapter 8: Performance of Wavelet Transform on Models in Forecasting Climatic Variables.- Chapter 9: Analysis of Inter-annual Climate Variability Using Discrete Wavelet Transform.- Chapter 10:  Modelling of suspended sediment concentration carried in natural streams using fuzzy-genetic approach.- Chapter 11: Prediction of local scour depth downstream of bed sills using soft computing models.- Chapter 12: Evaluation of wavelet-based denoising approach in hydrological models linked to Artificial Neural Networks.- Chapter 13: Evaluation of Mathematical Models with utility Index: A Case Study from Hydrology.

Editorial Reviews

"Computational Intelligence Techniques in Earth and Environmental Sciences provides a good introductory to advanced summary of computational intelligence for complex environmental problems. It provides definitions of methods and approaches, and also includes examples where they have been applied to solve complex big data problems. Readers will find that this book helps them to understand the processes involved for environmental related complex problems, which is the purpose of computational intelligence from the outset." (Jeff Thurston,, March, 2014)