• 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

相似文献

1
Spectrally dependent linear depolarization and lidar ratios for nonspherical smoke aerosols.非球形烟雾气溶胶的光谱相关线性退偏和激光雷达比。
J Quant Spectrosc Radiat Transf. 2020 Jun;248. doi: 10.1016/j.jqsrt.2020.106953. Epub 2020 Mar 13.
2
Assessing the depolarization capabilities of nonspherical particles in a super-ellipsoidal shape space.评估超椭球形形状空间中非球形颗粒的去极化能力。
Opt Express. 2018 Jan 22;26(2):1726-1742. doi: 10.1364/OE.26.001726.
3
Linear depolarization of lidar returns by aged smoke particles.老化烟雾颗粒导致激光雷达回波线性去极化。
Appl Opt. 2016 Dec 10;55(35):9968-9973. doi: 10.1364/AO.55.009968.
4
Simulated depolarization ratios for dust and smoke at laser wavelengths: implications for lidar application.尘埃和烟雾在激光波长下的模拟去极化比:对激光雷达应用的启示。
Opt Express. 2023 Mar 13;31(6):10541-10553. doi: 10.1364/OE.484335.
5
Forest fire smoke layers observed in the free troposphere over Portugal with a multiwavelength Raman lidar: optical and microphysical properties.利用多波长拉曼激光雷达在葡萄牙对流层自由大气中观测到的森林火灾烟雾层:光学和微物理特性
ScientificWorldJournal. 2014;2014:421838. doi: 10.1155/2014/421838. Epub 2014 Jul 10.
6
Linear depolarization ratios of nitrate-coated mineral dust particles in haze episodes.
Appl Opt. 2020 Mar 1;59(7):2057-2064. doi: 10.1364/AO.385225.
7
Ice clouds and Asian dust studied with lidar measurements of particle extinction-to-backscatter ratio, particle depolarization, and water-vapor mixing ratio over Tsukuba.利用激光雷达对筑波上空的粒子消光后向散射比、粒子退偏振和水汽混合比进行测量,对冰云与亚洲沙尘展开研究。
Appl Opt. 2003 Dec 20;42(36):7103-16. doi: 10.1364/ao.42.007103.
8
Extinction-to-backscatter ratio of Asian dust observed with high-spectral-resolution lidar and Raman lidar.利用高光谱分辨率激光雷达和拉曼激光雷达观测亚洲沙尘的消光与后向散射比。
Appl Opt. 2002 May 20;41(15):2760-7. doi: 10.1364/ao.41.002760.
9
Measurement of the lidar ratio for atmospheric aerosols with a 180 degrees backscatter nephelometer.使用180度后向散射浊度仪测量大气气溶胶的激光雷达比。
Appl Opt. 1999 Mar 20;38(9):1823-32. doi: 10.1364/ao.38.001823.
10
Small lidar ratio of dust aerosol observed by Raman-polarization lidar near desert sources.拉曼偏振激光雷达在沙漠源附近观测到的尘埃气溶胶的小激光雷达比。
Opt Express. 2023 May 8;31(10):16909-16919. doi: 10.1364/OE.484501.

引用本文的文献

1
Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements.利用实地测量了解烟雾质量消光效率的演变
Geophys Res Lett. 2022 Sep 28;49(18):e2022GL099175. doi: 10.1029/2022GL099175. Epub 2022 Sep 22.
2
Black carbon aerosol number and mass concentration measurements by picosecond short-range elastic backscatter lidar.利用皮秒短程弹性后向散射激光雷达测量黑碳气溶胶的数量和质量浓度。
Sci Rep. 2022 May 19;12(1):8443. doi: 10.1038/s41598-022-11954-7.

本文引用的文献

1
Modeling study of scattering and absorption properties of tar-ball aggregates.焦油球聚集体散射与吸收特性的建模研究
Appl Opt. 2019 Nov 1;58(31):8648-8657. doi: 10.1364/AO.58.008648.
2
Aging Effects on Biomass Burning Aerosol Mass and Composition: A Critical Review of Field and Laboratory Studies.老化效应对生物质燃烧气溶胶质量和成分的影响:野外和实验室研究的批判性回顾。
Environ Sci Technol. 2019 Sep 3;53(17):10007-10022. doi: 10.1021/acs.est.9b02588. Epub 2019 Aug 12.
3
Biomass burning aerosol characteristics for different vegetation types in different aging periods.不同老化时期不同植被类型的生物质燃烧气溶胶特性。
Environ Int. 2019 May;126:504-511. doi: 10.1016/j.envint.2019.02.073. Epub 2019 Mar 5.
4
Assessing the depolarization capabilities of nonspherical particles in a super-ellipsoidal shape space.评估超椭球形形状空间中非球形颗粒的去极化能力。
Opt Express. 2018 Jan 22;26(2):1726-1742. doi: 10.1364/OE.26.001726.
5
Optical properties of black carbon aerosols encapsulated in a shell of sulfate: comparison of the closed cell model with a coated aggregate model.包裹在硫酸盐壳层中的黑碳气溶胶的光学特性:闭孔模型与包覆聚集体模型的比较
Opt Express. 2017 Oct 2;25(20):24579-24593. doi: 10.1364/OE.25.024579.
6
On the concept of random orientation in far-field electromagnetic scattering by nonspherical particles.关于非球形粒子远场电磁散射中随机取向的概念。
Opt Lett. 2017 Feb 1;42(3):494-497. doi: 10.1364/OL.42.000494.
7
Linear depolarization of lidar returns by aged smoke particles.老化烟雾颗粒导致激光雷达回波线性去极化。
Appl Opt. 2016 Dec 10;55(35):9968-9973. doi: 10.1364/AO.55.009968.
8
Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles.个体新鲜排放野火含碳粒子的形态和混合状态。
Nat Commun. 2013;4:2122. doi: 10.1038/ncomms3122.
9
Light scattering by polydispersions of randomly oriented spheroids with sizes comparable to wavelengths of observation.尺寸与观测波长相当的随机取向椭球体多分散体系的光散射。
Appl Opt. 1994 Oct 20;33(30):7206-25. doi: 10.1364/AO.33.007206.
10
Absorption of visible radiation in atmosphere containing mixtures of absorbing and nonabsorbing particles.在含有吸收性粒子和非吸收性粒子混合物的大气中对可见光辐射的吸收。
Appl Opt. 1981 Oct 15;20(20):3661-7. doi: 10.1364/AO.20.003661.

非球形烟雾气溶胶的光谱相关线性退偏和激光雷达比。

Spectrally dependent linear depolarization and lidar ratios for nonspherical smoke aerosols.

作者信息

Liu Li, Mishchenko Michael I

机构信息

NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA.

Columbia University, 2880 Broadway, New York, NY 10025, USA.

出版信息

J Quant Spectrosc Radiat Transf. 2020 Jun;248. doi: 10.1016/j.jqsrt.2020.106953. Epub 2020 Mar 13.

DOI:10.1016/j.jqsrt.2020.106953
PMID:33362295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7756960/
Abstract

We use the numerically exact -matrix method to model light scattering and absorption by aged smoke aerosols at lidar wavelengths ranging from 355 to 1064 nm assuming the aerosols to be smooth spheroids or Chebyshev particles. We show that the unique spectral dependence of the linear depolarization ratio (LDR) and extinction-to-backscatter ratio (or lidar ratio, LR) measured recently for stratospheric Canadian wildfire smoke can be reproduced by a range of model morphologies, a range of spectrally dependent particle refractive indices, and a range of particle sizes. For these particles, the imaginary part of the refractive index is always less than (or close to) 0.035, and the corresponding real part always falls in the range [1.35, 1.65]. The measured spectral LDRs and LRs could be produced by nearly-spherical oblate spheroids or Chebyshev particles whose shapes resemble those of oblate spheroids. Their volume-equivalent effective radii should be large enough ( = 0.3 μm or greater) to produce the observed enhanced LDRs. Our study demonstrates the usefulness of triple-wavelength LDR measurements as providing additional size information for a more definitive characterization of the particle morphology and composition. Non-zero LDR values indicate the presence of nonspherical aerosols and are highly sensitive to particle shapes and sizes. On the other hand, the LR is a strong function of absorption and is very responsive to changes in the particle refractive index.

摘要

我们使用数值精确的矩阵方法,对激光雷达波长范围为355至1064nm的老化烟雾气溶胶的光散射和吸收进行建模,假设气溶胶为光滑球体或切比雪夫粒子。我们表明,最近测量的平流层加拿大野火烟雾的线性偏振比(LDR)和消光与后向散射比(或激光雷达比,LR)的独特光谱依赖性,可以通过一系列模型形态、一系列光谱依赖的粒子折射率和一系列粒径来再现。对于这些粒子,折射率的虚部始终小于(或接近)0.035,相应的实部始终落在[1.35, 1.65]范围内。测量的光谱LDR和LR可以由近似球形的扁球体或形状类似于扁球体的切比雪夫粒子产生。它们的体积等效有效半径应该足够大( = 0.3μm或更大),以产生观察到的增强LDR。我们的研究证明了三波长LDR测量作为提供额外尺寸信息以更明确地表征粒子形态和组成的有用性。非零LDR值表明存在非球形气溶胶,并且对粒子形状和尺寸高度敏感。另一方面,LR是吸收的强函数,并且对粒子折射率的变化非常敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/d9cba324a9e7/nihms-1585764-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/a811216d5e4b/nihms-1585764-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/cb11eb23e00f/nihms-1585764-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/1197c2beabb1/nihms-1585764-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/706aba05fe52/nihms-1585764-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/6786e083da2e/nihms-1585764-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/9e8e303d0ac5/nihms-1585764-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/d9cba324a9e7/nihms-1585764-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/a811216d5e4b/nihms-1585764-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/cb11eb23e00f/nihms-1585764-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/1197c2beabb1/nihms-1585764-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/706aba05fe52/nihms-1585764-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/6786e083da2e/nihms-1585764-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/9e8e303d0ac5/nihms-1585764-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3451/7756960/d9cba324a9e7/nihms-1585764-f0007.jpg