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

Nonfiction, Science & Nature, Science, Physics, Energy, Earth Sciences, Technology
Cover of the book Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process by Uttam Roy, Mrinmoy Majumder, Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Uttam Roy, Mrinmoy Majumder ISBN: 9789812873446
Publisher: Springer Singapore Publication: December 28, 2015
Imprint: Springer Language: English
Author: Uttam Roy, Mrinmoy Majumder
ISBN: 9789812873446
Publisher: Springer Singapore
Publication: December 28, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Inclusive Teaching Strategies for Discipline-based English Studies by Uttam Roy, Mrinmoy Majumder
Cover of the book Explorations in Technology Education Research by Uttam Roy, Mrinmoy Majumder
Cover of the book Tobacco Control in China by Uttam Roy, Mrinmoy Majumder
Cover of the book Modern China’s Copyright Law and Practice by Uttam Roy, Mrinmoy Majumder
Cover of the book Cities Network Along the Silk Road by Uttam Roy, Mrinmoy Majumder
Cover of the book Operational Modal Analysis by Uttam Roy, Mrinmoy Majumder
Cover of the book Multi-agent and Complex Systems by Uttam Roy, Mrinmoy Majumder
Cover of the book Carbon Fibre from Lignin by Uttam Roy, Mrinmoy Majumder
Cover of the book Oxidative Stress: Diagnostic Methods and Applications in Medical Science by Uttam Roy, Mrinmoy Majumder
Cover of the book Genre Changes and Privileged Pedagogic Identity in Teaching Contest Discourse by Uttam Roy, Mrinmoy Majumder
Cover of the book Plant-Microbe Interactions in Agro-Ecological Perspectives by Uttam Roy, Mrinmoy Majumder
Cover of the book TA-Q-BIN by Uttam Roy, Mrinmoy Majumder
Cover of the book Graphene-Carbon Nanotube Hybrids for Energy and Environmental Applications by Uttam Roy, Mrinmoy Majumder
Cover of the book Social Norms, Bounded Rationality and Optimal Contracts by Uttam Roy, Mrinmoy Majumder
Cover of the book Symmetry Breaking for Representations of Rank One Orthogonal Groups II by Uttam Roy, Mrinmoy Majumder
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy