Mapping Risk to Land Subsidence: Developing a Two-Level Modeling Strategy by Combining Multi-Criteria Decision-Making and Artificial Intelligence Techniques

Mapping Risk to Land Subsidence: Developing a Two-Level Modeling Strategy by Combining Multi-Criteria Decision-Making and Artificial Intelligence Techniques

Groundwater over-abstraction may cause land subsidence (LS), and the LS mapping suffers the subjectivity associated with expert judgment. The paper seeks to reduce the subjectivity associated with the hazard, vulnerability, and risk mapping by formulating an inclusive multiple modeling (IMM), which...

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Bibliographic Details
Main Authors: Ata Allah Nadiri, Marjan Moazamnia, Sina Sadeghfam, Rahim Barzegar
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Water
Subjects:
land subsidence
risk realization
hazard
vulnerability
Online Access:https://www.mdpi.com/2073-4441/13/19/2622

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