Vulnerability of watersheds to climate change assessed by neural network and analytical hierarchy process

• 作者： Roy, Uttam, author.
• 其他作者：
  • Majumder, Mrinmoy, author.
  • SpringerLink (Online service)
• 其他題名：
  • SpringerBriefs in water science and technology.
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 叢書名： SpringerBriefs in water science and technology,
• 主題： Watersheds. , Watershed ecology. , Climatology. , Energy. , Renewable and Green Energy. , Hydrology/Water Resources. , Climate Change/Climate Change Impacts. , Energy Technology. , Water Industry/Water Technologies.
• ISBN： 9789812873446 (electronic bk.) 、 9789812873439 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- Climate Change and its Impacts -- Watershed Vulnerabilities -- Methodology -- Results and Discussions.
• More
• 摘要註: 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.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: