Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process (Paperback, 1st ed. 2016)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Water Science and Technology
Release date:	2016
First published:	2016
Authors:	Uttam Roy • Mrinmoy Majumder
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	89
Edition:	1st ed. 2016
ISBN-13:	978-981-287-343-9
Categories:	Books > Earth & environment > Earth sciences > The hydrosphere > General Books > Earth & environment > The environment > Pollution & threats to the environment > Global warming Books > Professional & Technical > Environmental engineering & technology > Sanitary & municipal engineering > Water supply & treatment > General
LSN:	981-287-343-0
Barcode:	9789812873439

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