首页> 外文期刊>Environmental Science & Technology >Sulfate Formation Enhanced by a Cocktail of High NO_x, SO_2, Particulate Matter, and Droplet pH during Haze-Fog Events in Megacities in China: An Observation-Based Modeling Investigation
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Sulfate Formation Enhanced by a Cocktail of High NO_x, SO_2, Particulate Matter, and Droplet pH during Haze-Fog Events in Megacities in China: An Observation-Based Modeling Investigation

机译:中国城市特大雾霾事件中高浓度NO_x,SO_2,颗粒物和液滴pH的鸡尾酒增强硫酸盐形成:基于观测的模型研究

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摘要

In recent years in a few Chinese megacities, fog events lasting one to a few days have been frequently associated with high levels of aerosol loading characterized by high sulfate (as high as 30 μg m~(-3)), therefore termed as haze-fog events. The concomitant pollution characteristics include high gas-phase mixing ratios of SO_2 (up to 71 ppbv) and NO_2 (up to 69 ppbv), high aqueous phase pH (5-6), and smaller fog droplets (as low as 2 μm), resulting from intense emissions from fossil fuel combustion and construction activities supplying abundant Ca~(2+). In this work, we use an observation-based model for secondary inorganic aerosols (OBM-SIA) to simulate sulfate formation pathways under conditions of haze-fog events encountered in Chinese megacities. The OBM analysis has identified, at a typical haze-fogwater pH of 5.6, the most important pathway to be oxidation of S_((Ⅳ)) by dissolved NO_2, followed by the heterogeneous reaction of SO_2 on the aerosol surface. The aqueous phase oxidation of S_((Ⅳ)) by H_2O_2 is a very minor formation pathway as a result of the high NO_x conditions suppressing H_2O_2 formation. The model results indicate that the unique cocktail of high fogwater pH, high concentrations of NO_x, SO_2, and PM, and small fog droplets are capable of greatly enhancing sulfate formation. Such haze-fog conditions could lead to rapid sulfate production at night and subsequently high PM_(2.5) in the morning when the fog evaporates. Sulfate formation is simulated to be highly sensitive to fogwater pH, PM, and precursor gases NO_2 and SO_2. Such insights on major contributing factors imply that reduction of road dust and NO_x emissions could lessen PM_(2.5) loadings in Chinese megacities during fog events.
机译:近年来,在中国一些特大城市中,持续一到几天的大雾事件通常与以高硫酸盐(高达30μgm〜(-3))为特征的高浓度气溶胶负载有关,因此被称为霾-雾事件。伴随的污染特征包括SO_2(高达71 ppbv)和NO_2(高达69 ppbv)的高气相混合比,高水相pH(5-6)和较小的雾滴(低至2μm),是由于化石燃料燃烧和建筑活动产生的大量排放物提供了丰富的Ca〜(2+)。在这项工作中,我们使用基于观测的次级无机气溶胶(OBM-SIA)模型来模拟在中国特大城市遇到的霾雾事件条件下的硫酸盐形成途径。 OBM分析已确定,在雾霾水的典型pH值为5.6时,最重要的途径是溶解的NO_2氧化S _((Ⅳ)),然后在气溶胶表面进行SO_2的异相反应。由于高的NO_x条件抑制了H_2O_2的形成,H_2O_2对S _((Ⅳ))的水相氧化是非常小的形成途径。模型结果表明,高雾水pH值,高浓度的NO_x,SO_2和PM以及小雾滴的独特混合物能够大大增强硫酸盐的形成。这种雾霾条件可能导致夜间快速生成硫酸盐,随后在雾气蒸发时导致早晨较高的PM_(2.5)。模拟了硫酸盐的形成,它对雾水的pH,PM和前体气体NO_2和SO_2高度敏感。这些对主要贡献因素的见解表明,减少雾霾和NO_x排放可以减轻中国特大城市PM_(2.5)的负荷。

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  • 来源
    《Environmental Science & Technology》 |2016年第14期|7325-7334|共10页
  • 作者单位

    Division of Environment, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China,Department of Civil and Environmental Engineering, University of California, Davis, California, 95616;

    Atmospheric Research Center, HKUST Fok Ying Tung Graduate School, Nansha, Guangzhou, Guangdong 511458, China;

    Department of Chemistry, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;

    Division of Environment, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China,Department of Civil and Environmental Engineering, University of California, Davis, California, 95616;

    Division of Environment, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China,Atmospheric Research Center, HKUST Fok Ying Tung Graduate School, Nansha, Guangzhou, Guangdong 511458, China;

    Division of Environment, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China,Atmospheric Research Center, HKUST Fok Ying Tung Graduate School, Nansha, Guangzhou, Guangdong 511458, China,Department of Chemistry, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, 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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  • 正文语种 eng
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  • 入库时间 2022-08-17 13:58:50

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