相关实验视频

Updated: Jan 15, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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人工智能评估了以自然为基础的在丘陵地形的抗洪能力

Abdelkader Mabrouk1, Inamullah Inam2, Muhammad Zeeshan Qureshi3

  • 1Department of Civil Engineering, College of Engineering, Northern Border University, 73222, Arar, Saudi Arabia. abdjih2019@gmail.com.

Scientific reports
|October 10, 2025
PubMed
概括

基于自然的解决方案 (NBS) 有效地减少了山区的突发洪水. 人工智能 (AI) 模型,特别是随机森林,通过预测峰值排放,优化洪水抵御能力,显示柔性植被的优越性能.

关键词:
人工智能的人工智能是人工智能.抗洪能力 抗洪能力 抗洪能力蒙特卡洛模拟的蒙特卡洛模拟基于自然的解决方案在SHAP分析中,我们分析了SHAP.

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