Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process

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Springer


Collection :

SpringerBriefs in Water Science and Technology

Paru le : 2015-12-28

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Description
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.
Pages
89 pages
Collection
SpringerBriefs in Water Science and Technology
Parution
2015-12-28
Marque
Springer
EAN papier
9789812873439
EAN PDF
9789812873446

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
3502 Ko
Prix
52,74 €
EAN EPUB
9789812873446

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2796 Ko
Prix
52,74 €