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首页> 外文期刊>Environmental Science & Technology >Assessing the Effect of the Long-Term Variations in Aerosol Characteristics on Satellite Remote Sensing of PM_(2.5) Using an Observation-Based Model
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Assessing the Effect of the Long-Term Variations in Aerosol Characteristics on Satellite Remote Sensing of PM_(2.5) Using an Observation-Based Model

机译：使用基于观测的模型评估气溶胶特性的长期变化对PM_（2.5）卫星遥感的影响

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摘要

Variations in aerosol characteristics play an essential role in satellite remote sensing of PM2.5 concentrations. The lack of measurement of aerosol characteristics, however, limits the assessment of their effects. This study presented an observation-based model that directly considered the effects of aerosol characteristics. In this model, we used an integrated humidity coefficient (gamma') and an integrated reference value (K) to delineate the effects of aerosol characteristics. We then investigated the effects of the long-term variations in aerosol characteristics on satellite remote sensing of PM2.5 concentration in Hong Kong from 2004 to 2012. The results show that the gamma' value peaked in 2009 because the percentages of highly hygroscopic components (e.g., sulfate and nitrate) in aerosols reached their peaks. The K value increased from 2004 to 2011 because of the increasing percentages of strong light-extinction components (e.g., organic matter) and the decreasing fine mode fraction in aerosols. The accuracy of PM2.5 retrieval improved greatly after accounting for the long-term variations in aerosol characteristics (e.g., correlation coefficient increased from 0.56 to 0.80). The results underscore the need to incorporate the variations in aerosol characteristics in the PM2.5 estimation models.
机译：气溶胶特性的变化在卫星遥感PM2.5浓度中起着至关重要的作用。然而，缺乏气溶胶特性的测量限制了对其效果的评估。这项研究提出了一个基于观察的模型，该模型直接考虑了气溶胶特性的影响。在该模型中，我们使用了积分湿度系数（gamma'）和积分参考值（K）来描述气溶胶特性的影响。然后，我们研究了气溶胶特性的长期变化对2004年至2012年香港PM2.5浓度的卫星遥感的影响。结果表明，γ值在2009年达到峰值，因为高吸湿性成分的百分比（ （例如硫酸盐和硝酸盐）在气溶胶中达到峰值。 K值从2004年到2011年有所增加，这是因为强光消光成分（例如有机物）的百分比增加以及气溶胶中的精细模式分数降低。考虑到气溶胶特性的长期变化（例如，相关系数从0.56增加到0.80），PM2.5检索的准确性大大提高。结果强调需要将气溶胶特征的变化纳入PM2.5估算模型中。

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  • 来源
    《Environmental Science & Technology》 |2019年第6期|2990-3000|共11页
  • 作者

    Lin Changqing; Lau Alexis K. H.; Fung Jimmy C. H.; Lao Xiang Qian; Li Ying; Li Chengcai;

  • 作者单位

    Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China|Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China;

    Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China|Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China;

    Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China|Hong Kong Univ Sci & Technol, Dept Math, Hong Kong, Peoples R China;

    Chinese Univ Hong Kong, Jockey Club Sch Publ Hlth & Primary Care, Hong Kong, Peoples R China;

    Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen 518055, Peoples R China;

    Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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