Comparison of Newmark landslide model and hybrid model results.

Comparison of Newmark landslide model and hybrid model results.

<p>Comparison of Newmark landslide model and hybrid model results.</p>

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Bibliographic Details
Main Author:	Cong Zhang (582922) (author)
Other Authors:	Zifa Wang (1517932) (author), Jintao Xiao (22032945) (author), Zhaodong Wang (2079253) (author), Dengke Zhao (3695071) (author), Zhaoyan Li (5693072) (author)
Published:	2025
Subjects:	Biophysics Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified principal feature parameter perilous geological disasters monte carlo simulations machine learning techniques including rock strata identify nonlandslide locations comparative investigation reveals alleviating subsequent tragedies luding region results machine learning methodologies coseismic landslide susceptibility combining newmark model jiuzhaigou region serves div >< p newmark physical model hybrid models n_xgb utilizing newmark displacement integrating physical principles newmark model jiuzhaigou region physical models namely n_xgb model accuracies driven methodologies rf models study area slope gradient research formulates precise assessment moisture content mitigate uncertainty independent xgboost hilly places geotechnical parameters findings highlight enhanced performance coseismic landslides comprehensive indicator
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