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 Management Challenges in Different Types of African Firms by Uttam Roy, Mrinmoy Majumder
Cover of the book Advances in Seed Priming by Uttam Roy, Mrinmoy Majumder
Cover of the book Perezhivanie, Emotions and Subjectivity by Uttam Roy, Mrinmoy Majumder
Cover of the book Computer Engineering and Technology by Uttam Roy, Mrinmoy Majumder
Cover of the book Biogeochemical Cycle of Mercury in Reservoir Systems in Wujiang River Basin, Southwest China by Uttam Roy, Mrinmoy Majumder
Cover of the book Innovations in Computer Science and Engineering by Uttam Roy, Mrinmoy Majumder
Cover of the book Materials Development for Active/Passive Components of a Supercapacitor by Uttam Roy, Mrinmoy Majumder
Cover of the book Biotechnology and Biochemical Engineering by Uttam Roy, Mrinmoy Majumder
Cover of the book Environmental Pollution by Uttam Roy, Mrinmoy Majumder
Cover of the book Advances in Biological Treatment of Industrial Waste Water and their Recycling for a Sustainable Future by Uttam Roy, Mrinmoy Majumder
Cover of the book Challenges and Opportunities in Qualitative Research by Uttam Roy, Mrinmoy Majumder
Cover of the book Phasor Power Electronics by Uttam Roy, Mrinmoy Majumder
Cover of the book Marine and Coastal Ecosystem Valuation, Institutions, and Policy in Southeast Asia by Uttam Roy, Mrinmoy Majumder
Cover of the book Internetware by Uttam Roy, Mrinmoy Majumder
Cover of the book Making Way in Corpus-based Interpreting Studies 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