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Yanmeng Yin

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Articles

Enhancing Landslide Susceptibility Assessment With a Novel IV-LR-RF Coupled Model: A Comparative Study in Lvhe Town, Qinling-Daba Mountains, China

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By qiang li, Yanbo Zhu, Yanmeng Yin
| Wiley Online Library Verified
The Qinling-Daba Mountains, characterized by active tectonics, rugged topography, and intense human activities, are among the most landslide-prone regions in China. Accurate landslide susceptibility assessment (LSA) is critical for regional hazard mitigation; however, standalone machine learning models often suffer from insufficient accuracy and robustness in township-scale studies with limited historical landslide samples.
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