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Updated: Mar 2, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments
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Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

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一个两阶段的梯度增强框架与拉格朗日粒子跟踪相结合,用于在核应急响应中快速预测大气中的放射性核素分散

Jinjie Zhao1, Xilong Tong2

  • 1East China University of Technology, Nanchang, 330013, China.

Journal of environmental radioactivity
|February 28, 2026
PubMed
概括

这项研究引入了一种快速,准确的方法来预测放射性物质的传播,这对于核紧急情况至关重要. 新型号即使在变化的天气下也能快速工作,改善了公共安全的实时决策.

关键词:
大气分散预测预测大气分散.梯度增强可以提高梯度.拉格朗的随机粒子模型 (LSPM)非静止气象学的非静止气象学核应急响应应对核应急情况的反应两个阶段的架构架构.

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