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Updated: Jan 15, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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机器学习模型与SHAP解释对高速公路洪水损坏阻塞原因的比较分析

Bin Li1, Lingyi Wu2, Jian Gao3

  • 1State Key Laboratory of Intelligent Transportation System, Highway Monitoring and Emergency Response Center, Ministry of Transport of China, Beijing, 100029, China.

Scientific reports
|January 13, 2026
PubMed
概括

这项研究使用先进的机器学习和时间数据增强来增强高速公路洪水损害预测. 降水,温度和道路与河流之间的距离等关键因素显著增加了堵塞风险.

关键词:
高速公路的堵塞.高速公路被洪水破坏机器学习 机器学习这就是 SHAP SHAP 的意思.时间序列数据数据时间序列数据.

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