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An Optimization Method Coupled the Index-overlay Method with Entropy Weighting Model to Assess Seawater Intrusion Vulnerability by Aihua Wei; Duo Li; Fenggang Dai; Xujuan Lang; Baiheng Ma; Yuqing Wang is a Environmental Science article available to read on EtoBox.
What is An Optimization Method Coupled the Index-overlay Method with Entropy Weighting Model to Assess Seawater Intrusion Vulnerability about?
Seawater intrusion poses a serious threat to coastal areas around the world. The purpose of this study was to develop a comprehensive approach to assess the vulnerability of saltwater intrusion. The powerful decision-making technique GALDIT was firstly selected, and its inherent weights are the origin of the subjective method. The entropy method was then integrated to reasonably determine the objective weight of this basic structure. Furthermore, to balance conflicts between subjective and objective methods, game theory was intruded upon. The result of the sensitivity analysis showed a correlation coefficient between the effective weights and theoretical weights of the normal method, entropy theory, and game theory of 0.66, 0.89, and 0.94, respectively. Meanwhile, the best correlation coefficient between the vulnerability indices and the values of 38 monitoring wells was obtained by the game model. Finally, the optimal weights of G, A, L, D, I, and T were 0.096, 0.153, 0.220, 0.320, 0.150, and 0.061, respectively. The study area was finally classified into regions with high, moderate, and low vulnerability, accounting for 11.4%, 24.9%, and 63.7% of the area. The paper included that
Who reads An Optimization Method Coupled the Index-overlay Method with Entropy Weighting Model to Assess Seawater Intrusion Vulnerability?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Aihua Wei; Duo Li; Fenggang Dai; Xujuan Lang; Baiheng Ma; Yuqing Wang
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Environmental Science (Physical Sciences)
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