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Geological Bulletin of China. Core
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(Accepted Version) Online First Publishing Date: 2024-01-19 12:33:07Online First Certificate Download

A Case Study on Susceptibility Assessment of Precipitation-induced Mass landslides Based on Optimal Random Forest Model， West Qinling MountainsChinese Full TextEnglish Full Text (MT)

LIU Shuai;WANG Tao;CAO Jiawen;LIU Jiamei;ZHANG Shuai;XIN Peng;

Abstract: Random forest model （RF） is one of the widely used machine learning models for landslide susceptibility assessment. Aiming at the difficult problems that restrict the application quality of random forest model assessment， taking more than 20，000 extreme rainfall landslides induced by extreme rainfall in Niangniangba Town， western Qinling Mountains as an example， the model optimization and comparison with conventional model evaluation were carried out mainly from four aspects: landslide-non-lands... More
Keywords：

landslide; susceptibility; random forest; extreme rainfall; West Qinling;

  • Series：

    (A) Mathematics/ Physics/ Mechanics/ Astronomy; (C) Architecture/ Energy/ Traffic/ Electromechanics, etc; (I) Electronic Technology ＆ Information Science

  • Subject：

    Geology; Industrial Current Technology and Equipment; Automation Technology

  • Classification Code：

    TP181;P642.22

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