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Developing models of aerosol representation to investigate composition, evolution, optical properties, and CCN spectra using measurements of size-resolved hygroscopicity.

机译:开发气溶胶表示模型,以使用尺寸分辨的吸湿性测量来研究成分,演变,光学性质和CCN光谱。

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摘要

A Differential Mobility Analyzer/Tandem Differential Mobility Analyzer (DMA/TDMA) was used to measure size distributions, hygroscopicity, and volatility during the May 2003 Aerosol Intensive Operational Period at the Central Facility of the Atmospheric Radiation Measurement Southern Great Plains site. Hygroscopic growth factor distributions for particles at eight dry diameters ranging from 0.012 mum to 0.600 mum were measured. These measurements, along with backtrajectory clustering, were used to infer aerosol composition and evolution. The hygroscopic growth of the smallest and largest particles analyzed was typically less than that of particles with dry diameters of about 0.100 mum. Condensation of secondary organic aerosol on nucleation mode particles may be responsible for the minimal growth observed at the smallest sizes. Growth factor distributions of the largest particles typically contained a non-hygroscopic mode believed to be composed of dust. A model was developed to characterize the hygroscopic properties of particles within a size distribution mode through analysis of the fixed-size hygroscopic growth measurements. This model was used to examine three cases in which the sampled aerosol evolved over a period of hours or days.; Additionally, size and hygroscopicity information were combined to model the aerosol as a population of multi-component particles. With this model, the aerosol hygroscopic growth factor f(RH), relating the submicron scattering at high RH to that at low RH, is predicted. The f(RH) values predicted when the hygroscopic fraction of the aerosol is assumed to be metastable agree better with measurements than do those predicted under the assumption of crystalline aerosol. Agreement decreases at RH greater than 65%. This multi-component aerosol model is used to derive cloud condensation nuclei (CCN) spectra for comparison with spectra measured directly with two Desert Research Institute (DRI) CCN spectrometers. Among the 1490 pairs of DMA/TDMA-predicted and DRI-measured CCN concentrations at various critical supersaturations from 0.02-1.05%, the sample number-weighted mean R 2 value is 0.74. CCN concentrations are slightly overpredicted at both the lowest (0.02-0.04%) and highest (0.80-1.05%) supersaturations measured. Overall, this multi-component aerosol model based on size distributions and size-resolved hygroscopicity yields reasonable predictions of the humidity-dependent optical properties and CCN spectra of the aerosol.
机译:在2003年5月的气溶胶密集运行期间,在大气辐射测量南部大平原站点的中心设施上,使用了差分迁移率分析仪/串联差分迁移率分析器(DMA / TDMA)来测量尺寸分布,吸湿性和挥发性。测量了八种干直径在0.012微米至0.600微米范围内的颗粒的吸湿生长因子分布。这些测量结果以及反向轨迹聚类被用于推断气溶胶的组成和演变。分析的最小和最大颗粒的吸湿性增长通常小于干直径约为0.100微米的颗粒。次级有机气溶胶在成核模式颗粒上的凝结可能是在最小尺寸下观察到的最小增长的原因。最大颗粒的生长因子分布通常包含被认为由灰尘组成的非吸湿模式。通过分析固定尺寸的吸湿性生长测量值,开发了一种模型来表征颗粒在尺寸分布模式下的吸湿性。该模型用于检查三种情况,其中采样的气溶胶经过数小时或数天的演变。另外,结合了尺寸和吸湿性信息,以将气溶胶建模为多组分颗粒的种群。使用该模型,可以预测将高RH的散射与低RH的散射相关的气溶胶吸湿生长因子f(RH)。假定在假设气溶胶的吸湿率部分为亚稳态时预测的f(RH)值与在结晶气溶胶假设下预测的f(RH)值更好地吻合。相对湿度大于65%时,协议减少。该多组分气溶胶模型用于导出云凝结核(CCN)光谱,以便与直接用两个沙漠研究所(DRI)CCN光谱仪测量的光谱进行比较。在各种临界过饱和度为0.02-1.05%的1490对DMA / TDMA预测和DRI测量的CCN浓度中,样品数量加权平均R 2值为0.74。在测得的最低(0.02-0.04%)和最高(0.80-1.05%)过饱和下,CCN浓度都略有高估。总体而言,基于尺寸分布和尺寸分辨的吸湿性的这种多组分气溶胶模型可以合理预测气溶胶的湿度相关光学特性和CCN光谱。

著录项

  • 作者

    Gasparini, Roberto.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Physics Atmospheric Science.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

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