Bayesian Approaches for Probabilistic Prediction of Debris-Flow Runout Using Limited Site-Specific Data Sets-Reference-Cited by-同舟云学术

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Bayesian Approaches for Probabilistic Prediction of Debris-Flow Runout Using Limited Site-Specific Data Sets

Published:2023-09 Issue:9 Volume:23 Page:
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Tian Mi¹,Xu Jiaheng²,Li Lihua³

Affiliation:

1. Associate Professor, School of Civil Engineering, Architecture and Environment, Hubei Univ. of Technology, 28 Nanli Rd., Wuhan 430068, P.R. China; Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lakes, Wuhan 430068, P.R. China (corresponding author).

2. Postgraduate, School of Civil Engineering, Architecture and Environment, Hubei Univ. of Technology, 28 Nanli Rd., Wuhan 430068, P.R. China.

3. Professor, School of Civil Engineering, Architecture and Environment, Hubei Univ. of Technology, 28 Nanli Rd., Wuhan 430068, P.R. China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Soil Science

Link

https://ascelibrary.org/doi/pdf/10.1061/IJGNAI.GMENG-8367

Reference48 articles.

1. Bayesian updating of structural models and reliability using Markov chain Monte Carlo simulation;Beck J. L.;J. Eng. Mech.,2002

2. Updating models and their uncertainties. I: Bayesian statistical framework;Beck J. L.;J. Eng. Mech.,1998

3. Model selection using response measurements: Bayesian probabilistic approach;Beck J. L.;J. Eng. Mech.,2004

4. Prediction of debris flow inundation areas using empirical mobility relationships;Berti M.;Geomorphology,2007

5. Quantification of prior knowledge in geotechnical site characterization;Cao Z. J.;Eng. Geol.,2016

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