Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems (Water Resources Development and Management) - Tapa dura

Libro 13 de 23: Water Resources Development and Management
 
9789811062049: Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems (Water Resources Development and Management)
Tapa dura
ISBN 10: 9811062048 ISBN 13: 9789811062049
Editorial: Springer, 2017

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2017
Idioma
Inglés
ISBN 10 
9811062048
ISBN 13 
9789811062049
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
212
Editor
Majumder Mrinmoy
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9789811348259: Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems (Water Resources Development and Management)

Edición Destacada

ISBN 10:  9811348251 ISBN 13:  9789811348259
Editorial: Springer, 2019
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