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Observing the Chemistry of Cities: Space-based Spectroscopy of Nitrite.

机译:观察城市化学:亚硝酸盐的空基光谱。

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摘要

The atmospheric chemistry of cities depends strongly on the concentration of the hydroxyl radical (OH). OH removes organic molecules (τ = minutes - days), nitrogen oxides (NOx: NO + NO2; τ = 2 – 20 h), and sulfur dioxide (τ = 2 – 3 d) from the atmosphere and forms ozone and particulate matter in the process. The spatial and temporal variability of OH is not fully understood due in large part to its strong nonlinear dependence on the concentration of NOx. In this dissertation, I use measurements of the NO2 column from the Ozone Monitoring Instrument (OMI), a satellite-based UV/Visible spectrometer, and calculations from chemical transport models to investigate the relationship of OH and NO x in urban regions. I characterize the instrumental and model performance necessary to accurately infer OH concentration from space-based measurements of the NO2 column. I use the OMI observations and the WRF-Chem model to investigate the spatial variability of the NO2 column over a variety of emission sources. I find, not surprisingly, that a result of the nonlinear dependence of OH on NOx is that the lifetime of NOx depends on the spatial distribution of NOx. Where the nonlinear NOx-OH feedbacks are most important, I find that a spatial resolution of 4 – 8 km is necessary for both model simulations and measurements to accurately capture variations of the NO2 column. Although this result is expected, quantitative analyses of the nonlinear coupling were not previously available and the calculations presented in this dissertation serve as a guide to interpretation of coarse-resolution measurements and models. I investigate the response of the NO2 column observed by OMI to variations of wind speed and day-of-week emission patterns. I find that these high spatial resolution measurements (13 × 24 km2 at nadir) contain independent information on both NOx emissions and removal.
机译:城市的大气化学在很大程度上取决于羟基自由基(OH)的浓度。 OH从大气中去除有机分子(τ=分钟-天),氮氧化物(NOx:NO + NO2;τ= 2 – 20 h)和二氧化硫(τ= 2 – 3 d),并在其中形成臭氧和颗粒物过程。 OH的时空变异性尚未得到充分理解,这在很大程度上是由于其对NOx浓度的强烈非线性依赖性。在这篇论文中,我使用了臭氧监测仪(OMI)(一种基于卫星的紫外/可见光谱仪)中的NO2柱的测量值,并通过化学迁移模型进行了计算,以研究城市地区OH和NO x的关系。我描述了从基于NO2柱的天基测量中准确推断OH浓度所需的仪器和模型性能。我使用OMI观测和WRF-Chem模型研究了NO2柱在各种排放源上的空间变异性。我毫不奇怪地发现,OH对NOx的非线性依赖性的结果是,NOx的寿命取决于NOx的空间分布。在非线性NOx-OH反馈最重要的地方,我发现模型仿真和测量都需要4至8 km的空间分辨率,以准确捕获NO2柱的变化。尽管这一结果是可以预期的,但是非线性耦合的定量分析以前是不可用的,并且本文所提供的计算结果可作为解释粗分辨率测量和模型的指南。我调查了OMI观察到的NO2柱对风速和每周排放模式变化的响应。我发现这些高空间分辨率测量值(最低点为13×24 km2)包含有关NOx排放和清除的独立信息。

著录项

  • 作者

    Valin, Lukas C.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Atmospheric Chemistry.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 73 p.
  • 总页数 73
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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