这就是TURB-Smoke. 一个数据库的拉格朗的污染物从点源发射的流流与平均风的平均风流
Luca Biferale1, Fabio Bonaccorso1, Niccolò Cocciaglia2
1Department of Physics & INFN, University of Rome "Tor Vergata", Via della Ricerca Scientifica 1, 00133, Rome, Italy.
Scientific data
|February 11, 2026
概括
我们介绍了TURB-Smoke,这是一个新的数据集,用于跟踪流中的污染源. 这一数据集有助于制定更好的环境监测和应急响应战略.
科学领域:
- 流体动力学 流体动力学
- 环境科学 环境科学
- 计算科学 计算科学
背景情况:
- 由于数据稀疏,难以识别流中的污染源.
- 准确的建模需要复杂的模拟或实验数据.
研究的目的:
- 介绍 TURB-Smoke,这是污染物分散的数值数据集.
- 为开发和评估源追踪策略提供基础真相.
主要方法:
- 通过对纳维埃-斯托克斯方程的直接数值模拟生成.
- 从五个点源追踪了数百万个拉格朗的粒子.
- 记录了粒子轨迹,位置和流速.
主要成果:
- 数据集包括粒子轨迹和粗粒度度场.
- 适用于在现实的流中测试搜索算法.
结论:
- TURB-Smoke为源追踪研究提供了一个可靠的框架.
- 促进环境监测和应急响应战略的制定.
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