Articles | Volume 21, issue 2
https://doi.org/10.5194/nhess-21-823-2021
https://doi.org/10.5194/nhess-21-823-2021
Research article
 | 
02 Mar 2021
Research article |  | 02 Mar 2021

Land subsidence due to groundwater pumping: hazard probability assessment through the combination of Bayesian model and fuzzy set theory

Huijun Li, Lin Zhu, Gaoxuan Guo, Yan Zhang, Zhenxue Dai, Xiaojuan Li, Linzhen Chang, and Pietro Teatini

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to technical corrections (14 Jan 2021) by Olga Petrucci
AR by Hui jun Li on behalf of the Authors (23 Jan 2021)  Manuscript 
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Short summary
We propose a method that integrates fuzzy set theory and a weighted Bayesian model to evaluate the hazard probability of land subsidence based on Interferometric Synthetic Aperture Radar technology. The proposed model can represent the uncertainty and ambiguity in the evaluation process, and results can be compared to traditional qualitative methods.
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