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Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process [electronic resource] / Uttam Roy, Mrinmoy Majumder.

9789812873446 (electronic book)
9812873449 (electronic book)
9812873430
9789812873439

Singapore : Springer, 2016.

English

1 online resource (x, 89 pages) : illustrations.

10.1007/978-981-287-344-6 doi

GB980

333.73

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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed January 12, 2016).

SpringerBriefs in water science and technology.

Print version: 9789812873439

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