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Updated: Jan 8, 2026

An R-Based Landscape Validation of a Competing Risk Model
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区域范围内的山体滑坡危险和风险的定量评估:来自越南中部的一个案例研究

Raja Das1, Pham Van Tien2, Karl W Wegmann3,4

  • 1Center for Geospatial Analytics, North Carolina State University, 2800 Faucette Dr, Raleigh, NC, 27695, USA. rdas3@ncsu.edu.

Environmental science and pollution research international
|December 17, 2025
PubMed
概括

这项研究使用机器学习开发了越南中部的概率性山体滑坡危险和风险评估. 它预测了山体滑坡的位置,大小和时间,以提高社区的安全,减少自然灾害的风险.

关键词:
连接性的指数 (IC)滑坡风险 滑坡风险 滑坡风险容易发生山体滑坡的易感性机器学习 机器学习可能的山体滑坡危险.

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