Title: Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems (eng)
Publisher: Springer
Publication Date: 2019
Language: English
ISBN 10: 9811348251
ISBN 13: 9789811348259
Binding: Soft cover
Condition: new
Weight: 0.45 kilograms

About this title

Synopsis

This book highlights the application of Geographical Information System (GIS) and nature based algorithms to solve the problems of water and water based renewable energy resources. The irregularity in availability of resources and inefficiency in utilization of the available resources has reduced the potentiality of water and water based renewable energy resources. In recent years various soft computation methods (SCM) along with GIS were adopted to solve critical problems. The book collects various studies where many SCMs were used along with GIS to provide a solution for optimal utilization of natural resources for satisfying the basic needs of the population as well as fulfilling their burgeoning energy demands. The articles depict innovative application of soft computation techniques to identify the root cause and to mitigate the uncertainty for optimal utilization of the available water resources. The advantage of SCM and GIS were used to maximize the utilization of water resources under cost and time constraints in face of climatic abnormalities and effect of rapid urbanization.

About the Author

Dr. Mrinmoy Majumder is presently working as an Assistant Professor in the School of Hydro-informatics Engineering (under Civil Eng) of National Institute of Technology Agartala in India. He has a total academic experience of six years and has completed his PhD from Jadavpur University, India in the year of 2010. He has published more than 20 research papers in different journals and around ten monographs from international publishers. His research interest include hydro-informatics, multi criteria decision making, artificial neural networks, group method of data handling and water based renewable energy.

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