| 书目名称 | Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Pr |
| 编辑 | Uttam Roy,Mrinmoy Majumder |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | SpringerBriefs in Water Science and Technology |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2016 |
| 关键词 | Analytical Hierarchy Process; Climate Change; Hydrological Cycle; Multi Criteria Decision Analysis (MCD |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-287-344-6 |
| isbn_softcover | 978-981-287-343-9 |
| isbn_ebook | 978-981-287-344-6Series ISSN 2194-7244 Series E-ISSN 2194-7252 |
| issn_series | 2194-7244 |
| copyright | The Author(s) 2016 |
发表于 2025-3-21 19:28:34
