Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process
Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process
Springer | Energy | Dec. 28 2015| ISBN-10: 9812873430 | 89 pages | pdf | 3.39 mb
Springer | Energy | Dec. 28 2015| ISBN-10: 9812873430 | 89 pages | pdf | 3.39 mb
Editors: Bendich, Adrianne, Deckelbaum, Richard J. (Eds.)
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.
Number of Illustrations and Tables
53 illus., 5 in colour
Topics
Renewable and Green Energy
Hydrology / Water Resources
Climate Change/Climate Change Impacts
Energy Technology
Water Industry/Water Technologies
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