Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process
The increase in GHG gases in the atmosphere due to expansions in industrial and vehicular concentration is attributed to warming of the climate world wide. The resultant change in climatic pattern can induce abnormalities in the hydrological cycle. As a r
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Uttam Roy Mrinmoy Majumder
Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process 123
SpringerBriefs in Water Science and Technology
More information about this series at http://www.springer.com/series/11214
Uttam Roy Mrinmoy Majumder •
Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process
123
Uttam Roy Bengal Institute of Technology and Management Kolkata India
Mrinmoy Majumder National Institute of Technology Agartala India
ISSN 2194-7244 ISSN 2194-7252 (electronic) SpringerBriefs in Water Science and Technology ISBN 978-981-287-343-9 ISBN 978-981-287-344-6 (eBook) DOI 10.1007/978-981-287-344-6 Library of Congress Control Number: 2015957047 © The Author(s) 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by SpringerNature The registered company is Springer Science+Business Media Singapore Pte Ltd.
Preface
The climatic variations caused by the global warming has attributed to various vulnerabilities among which the impact is optimum in case of watersheds. Any living entity is dependent on the water system to sustain their livelihood. Owing to the weaknesses in the watersheds, both “quantity and quality” of the “liquid gold” has receded. Many places which were once prosperous with clean water are now experiencing acute scarcity of the assets. Although the weaknesses in the watershed are intense, due to the dearth of appropriate overseeing methods, the vulnerabilities imposed because of the changes in climate are detected late and the impact becomes enormous and goes beyond control. Most of the methods or indicators developed to identify the exposures of watersheds have multiple lacunae. Either some parameters are missing, or all the variables are assigned the same relevancy or require complex calculation which confuses the end users to estimate vulnerabilities with the help of indicators, or ofte
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