Resolving aerosol mixing state increases accuracy of black carbon respiratory deposition estimates

Resolving aerosol mixing state increases accuracy of black carbon respiratory deposition estimates
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DOI:
10.1016/j.oneear.2020.11.004
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发表时间:
2020-12
期刊:
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影响因子:
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通讯作者:
J. Ching;M. Kajino;H. Matsui
J. Ching;M. Kajino;H. Matsui
中科院分区:
其他
文献类型:
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作者:
J. Ching;M. Kajino;H. Matsui

文献摘要

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黑碳 (BC) 颗粒(也称为烟灰)会恶化空气质量并威胁公众健康。 BC 是化石燃料不完全燃烧产生的,化石燃料是当今世界的主要能源。因此,评估BC对全球公共卫生的影响至关重要,特别是在全球人口和能源需求不断增长的背景下。由于碳黑的大气寿命和吸入后的沉积效率取决于其尺寸和化学成分,因此此类评估需要在模型中真实地表示这些特性,但目前尚缺乏。在这里,我们表明,全球模型中BC颗粒尺寸和化学成分的简单但常见的表示导致全球普遍低估了呼吸沉积的BC质量浓度。结果强调,BC 颗粒的真实再现对于评估以及减轻 BC 对全球公共卫生的影响是必不可少的。
Black carbon (BC) particles, also known as soot, deteriorate air quality and threaten public health. BC is emitted from the incomplete combustion of fossil fuel, which is a major energy source in the world today. Therefore, evaluating the impact of BC on global public health is vital, especially in the context of growing global population and energy demand. Since the atmospheric lifetime and deposition efficiency of BC after inhalation are governed by the size and chemical composition, realistic representation of those properties in models is required for such evaluation, yet is currently lacking. Here, we show that a simple but commonly found representation of size and chemical composition of BC particles in global models results in globally prevalent underestimation of the respiratory deposited BC mass concentration. The results emphasize that realistic representation of BC particles is indispensable to the evaluation and hence the mitigation of BC impacts on global public health.