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Quantitative interpretation of satellite and surface measurements of aerosols over North America.

机译:北美卫星和气溶胶表面测量的定量解释。

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摘要

This thesis assesses the relationship of ground-level fine particulate matter (PM2.5) concentrations versus remote-sensed PM2.5 determined from satellite-measured column aerosol optical depths (AOD). A global chemical transport model is used to simulate the theoretical factors affecting the relation between AOD and PM2.5. Significant spatial variation of annual mean ground-based measurements of PM2.5 with PM2.5 determined from satellite is found (r=0.54--0.68, slope=0.66--0.91). The vertical profile of aerosol extinction is the most important factor affecting the spatial relationship between satellite and surface measurements of PM 2.5; neglecting this parameter would reduce the spatial correlation to 0.29. In contrast, temporal variation in AOD is the most influential parameter affecting the temporal relationship between satellite and surface measurements of PM2.5; neglecting daily variation in this parameter would decrease the correlation in eastern North America from 0.7 to 0. Other aerosol properties, such as effective radius and extinction efficiency have a minor role.; This thesis also investigates how recently suggested pathways for production of secondary organic aerosol (SOA) affect the consistency of modeled simulated organic aerosol (OA) mass versus surface measurements. More accurate representation of rate constants and speciation of SOA precursors reduces simulated SOA mass concentrations by a maximum of 0.3 ug/m3 over southeast United States during summer. A sensitivity study in which isoprene oxidation products contribute to SOA formation increases simulated OA mass concentrations by 0.4--0.6 ug/m3 and reduces a regional model bias. A second sensitivity study in which inorganic aerosols act as condensation sites for SOA formation increases simulated OA mass concentrations by 1.5--2.0 ug/m 3 during summer and by 0.5--1.0 ug/m3 during spring and summer, with mixed effects on the consistency versus ground measurements.
机译:本文评估了由卫星测量的气溶胶气溶胶光学深度(AOD)确定的地面细颗粒物(PM2.5)浓度与遥感PM2.5的关系。全局化学迁移模型用于模拟影响AOD和PM2.5之间关系的理论因素。发现从卫星测得的PM2.5和PM2.5的年平均地面平均测量值的显着空间变化(r = 0.54--0.68,坡度= 0.66--0.91)。气溶胶绝灭的垂直剖面是影响卫星和PM 2.5地面测量之间空间关系的最重要因素。忽略此参数会将空间相关性降低到0.29。相反,AOD的时间变化是影响卫星和PM2.5地面测量之间的时间关系的最有影响的参数。忽略该参数的每日变化将使北美东部的相关性从0.7降低到0。其他气溶胶特性,例如有效半径和消光效率,则起较小的作用。本论文还研究了最近提出的产生次级有机气溶胶(SOA)的途径如何影响模拟的有机气溶胶(OA)质量与表面测量值的一致性。在夏季,美国东南部的速率常数和SOA前体形态的更准确表示可以将模拟SOA质量浓度最多降低0.3 ug / m3。异戊二烯氧化产物有助于SOA形成的敏感性研究将模拟OA质量浓度提高了0.4--0.6 ug / m3,并减少了区域模型偏差。第二项敏感性研究中,无机气溶胶充当SOA形成的缩合位点,在夏季使模拟OA的质量浓度增加1.5--2.0 ug / m 3,在春季和夏季使模拟的OA质量浓度增加0.5--1.0 ug / m3,对空气中的混合效应一致性与地面测量。

著录项

  • 作者

    van Donkelaar, Aaron.;

  • 作者单位

    Dalhousie University (Canada).;

  • 授予单位 Dalhousie University (Canada).;
  • 学科 Atmospheric Sciences.; Environmental Sciences.
  • 学位 M.Sc.
  • 年度 2006
  • 页码 43 p.
  • 总页数 43
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境科学基础理论;
  • 关键词

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