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Vulnerability of watersheds to clima...

Majumder, Mrinmoy.

Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process

Record Type:	Electronic resources : Monograph/item
Title/Author:	Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy processby Uttam Roy, Mrinmoy Majumder.
Author:	Roy, Uttam.
other author:	Majumder, Mrinmoy.
Published:	Singapore :Springer Singapore :2016.
Description:	x, 89 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Watersheds.
Online resource:	http://dx.doi.org/10.1007/978-981-287-344-6
ISBN:	9789812873446$q(electronic bk.)

Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process
Roy, Uttam.

Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process[electronic resource] /by Uttam Roy, Mrinmoy Majumder. - Singapore :Springer Singapore :2016. - x, 89 p. :ill., digital ;24 cm. - SpringerBriefs in water science and technology,2194-7244. - SpringerBriefs in water science and technology..

Introduction -- Climate Change and its Impacts -- Watershed Vulnerabilities -- Methodology -- Results and Discussions.

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 result, the regular functionality of river watersheds will also be affected. This Brief highlights a new methodology to rank the watersheds in terms of its vulnerability to change in climate. This Brief introduces a Vulnerability Index which will be directly proportional to the climatic impacts of the watersheds. Analytical Hierarchy Process and Artificial Neural Networks are used in a cascading manner to develop the model for prediction of the vulnerability index.

ISBN: 9789812873446$q(electronic bk.)

Standard No.: 10.1007/978-981-287-344-6doiSubjects--Topical Terms:

196055
Watersheds.

LC Class. No.: GB980

Dewey Class. No.: 333.73

Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process
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520 $a 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 result, the regular functionality of river watersheds will also be affected. This Brief highlights a new methodology to rank the watersheds in terms of its vulnerability to change in climate. This Brief introduces a Vulnerability Index which will be directly proportional to the climatic impacts of the watersheds. Analytical Hierarchy Process and Artificial Neural Networks are used in a cascading manner to develop the model for prediction of the vulnerability index.
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