Quantifying Land Subsidence Probability and Intensity Using Weighted Bayesian Modeling in Shanghai, China

Quantifying Land Subsidence Probability and Intensity Using Weighted Bayesian Modeling in Shanghai, China

Land subsidence, a slow-onset geohazard, poses a severe threat to cities worldwide. However, the lack of quantification in terms of intensity, probability, and hazard zoning complicates the assessment and understanding of the land subsidence risk. In this study, we employ a weighted Bayesian model t...

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Bibliographic Details
Main Authors: Chengming Jin, Qing Zhan, Yujin Shi, Chengcheng Wan, Huan Zhang, Luna Zhao, Jianli Liu, Tongfei Tian, Zilong Liu, Jiahong Wen
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Land
Subjects:
land subsidence
weighted Bayesian model
aquifer distribution
soil layer thickness
construction activity
Shanghai
Online Access:https://www.mdpi.com/2073-445X/14/3/470
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