Articles | Volume 21, issue 2
Nat. Hazards Earth Syst. Sci., 21, 823–835, 2021
https://doi.org/10.5194/nhess-21-823-2021
Nat. Hazards Earth Syst. Sci., 21, 823–835, 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 et al.

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Cited articles

Bhattarai, R. and Kondoh, A.: Risk Assessment of Land Subsidence in Kathmandu Valley, Nepal, Using Remote Sensing and GIS, Adv. Remote Sens., 6, 132–146, 2017. 
Bonì, R., Meisina, C., Teatini, P., Zucca, F., Zoccarato, C., Franceschini, A., Ezquerro, P., Bejar, M., Fernandez-Merofo, J. A., Guardiola-Albert, C., Pastor Navarro, J., Tomás, R., and Herrera, G.: 3D groundwater flow and deformation modelling of Madrid aquifer, J. Hydrol., 585, 124773, https://doi.org/10.1016/j.jhydrol.2020.124773, 2020. 
Chaussard, E., Wdowinski, S., Cabral-Cano, E., and Amelung, F.: Land subsidence in central Mexico detected by ALOS InSAR time-series, Remote Sens. Environ., 140, 94–106, 2014. 
Chen, M., Tomás, R., Li, Z. H., Motagh, M., Li, T., Hu, L., Gong, H., Li, X., Yu, J., and Gong, X.: Imaging land subsidence induced by groundwater extraction in Beijing (China) using satellite radar interferometry, Remote Sens., 8, 468–489, 2016. 
Chen, Y., Shu, L. C., and Burbey, T.: An Integrated Risk Assessment Model of Township-Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory, Risk Anal., 34, 656–669, 2014. 
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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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