• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

水生湍流的偏振激光雷达测量——实验室实验

Polarimetric lidar measurements of aquatic turbulence - laboratory experiment.

作者信息

Bogucki Darek J, Domaradzki Julian A, von Allmen Paul

出版信息

Opt Express. 2018 Mar 19;26(6):6806-6816. doi: 10.1364/OE.26.006806.

DOI:10.1364/OE.26.006806
PMID:29609368
Abstract

Lidar is one of few remote sensing methods available to researchers to sense below the oceanic air-surface. We present polarimetric lidar measurements of turbulence in a laboratory generated turbulent flow. We found that the nearforward light depolarization characterized by the depolarization rate γ(z), varies with the turbulent flow parameter: χ(z)∊(z), where χ(z) and ∊(z) are the respective depth dependent, temperature variance, and turbulent kinetic energy dissipation rates. The presence of particles in the flow modifies the values of γ in such a way that the ratio γ(z)/α(z) becomes independent of the particle concentration and depends only on χ(z)∊(z). We posit that the mechanism of light depolarization in turbulent flow with particles is forward scattered light interaction between turbulent refractive index inhomogeneities and flow particles. Such interactions result so that the observed depolarization rate, γ(z), is much larger than expected from 'pure' turbulent flow. Our observations open up the fascinating possibility of using lidar for turbulence measurements of aquatic flows.

摘要

激光雷达是研究人员可用于探测海洋空气表面以下情况的少数遥感方法之一。我们展示了在实验室生成的湍流中进行的偏振激光雷达湍流测量。我们发现,以去偏振率γ(z)表征的近前向光去偏振随湍流参数而变化:χ(z)∊(z),其中χ(z)和∊(z)分别是与深度相关的温度方差和湍流动能耗散率。流中颗粒的存在以这样一种方式改变了γ的值,即γ(z)/α(z)的比值变得与颗粒浓度无关,仅取决于χ(z)∊(z)。我们假定,含颗粒湍流中光去偏振的机制是湍流折射率不均匀性与流中颗粒之间的前向散射光相互作用。这种相互作用导致观测到的去偏振率γ(z)比“纯”湍流预期的要大得多。我们的观测结果开启了利用激光雷达进行水流湍流测量的迷人可能性。

相似文献

1
Polarimetric lidar measurements of aquatic turbulence - laboratory experiment.水生湍流的偏振激光雷达测量——实验室实验
Opt Express. 2018 Mar 19;26(6):6806-6816. doi: 10.1364/OE.26.006806.
2
Laboratory measurements of light beam depolarization on turbulent convective flow.湍流对流中光束去极化的实验室测量。
Appl Opt. 2010 Jun 20;49(18):3545-51. doi: 10.1364/AO.49.003545.
3
Monte Carlo simulation of propagation of a short light beam through turbulent oceanic flow.短光束在湍流海洋流中传播的蒙特卡罗模拟。
Opt Express. 2007 Oct 17;15(21):13988-96. doi: 10.1364/oe.15.013988.
4
Optical measurement of rates of dissipation of temperature variance due to oceanic turbulence.海洋湍流导致的温度方差耗散率的光学测量。
Opt Express. 2007 Jun 11;15(12):7224-30. doi: 10.1364/oe.15.007224.
5
Can IR Images of the Water Surface Be Used to Quantify the Energy Spectrum and the Turbulent Kinetic Energy Dissipation Rate?水面的红外图像能否用于量化能量谱和湍动能耗散率?
Sensors (Basel). 2023 Nov 12;23(22):9131. doi: 10.3390/s23229131.
6
Comparison of near-forward light scattering on oceanic turbulence and particles.海洋湍流与颗粒的近前向光散射比较。
Appl Opt. 1998 Jul 20;37(21):4669-77. doi: 10.1364/ao.37.004669.
7
Airborne forward-pointing UV Rayleigh lidar for remote clear air turbulence detection: system design and performance.用于远程晴空湍流探测的机载前向紫外线瑞利激光雷达:系统设计与性能
Appl Opt. 2016 Nov 10;55(32):9314-9328. doi: 10.1364/AO.55.009314.
8
Simulation and Analysis of Mie-Scattering Lidar-Measuring Atmospheric Turbulence Profile.米氏散射激光雷达测量大气湍流剖面的模拟与分析
Sensors (Basel). 2022 Mar 17;22(6):2333. doi: 10.3390/s22062333.
9
Numerical simulation of the effect of refractive turbulence on coherent lidar return statistics in the atmosphere.大气中折射湍流对相干激光雷达回波统计影响的数值模拟
Appl Opt. 2000 Oct 20;39(30):5403-14. doi: 10.1364/ao.39.005403.
10
Turbulent transport and mixing in transitional Rayleigh-Taylor unstable flow: A priori assessment of gradient-diffusion and similarity modeling.过渡瑞利-泰勒不稳定流中的湍流传质与混合:梯度扩散和相似性建模的先验评估。
Phys Rev E. 2017 Dec;96(6-1):063111. doi: 10.1103/PhysRevE.96.063111. Epub 2017 Dec 14.