我们能否就中国灰霾的主要硫酸盐形成途径达成共识?

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES
Mingxu Liu, Yu Song, Tiantian Wang, Xinyi Dang, Fang Shang, Xipeng Jin, Mile Du, Weigang Wang, Yele Sun, Qiang Zhang, Ling Kang, Xuhui Cai, Hongsheng Zhang, T. Zhu
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引用次数: 0

摘要

大气中的硫酸盐气溶胶是造成空气污染和气候变化的重要原因。最近,中国北方冬季雾霾事件中的硫酸盐形成机制受到了广泛关注,在高影响力期刊上发表了十多项研究。然而,实地测量、实验室研究和数值模拟得出的结论并不一致,甚至相互矛盾。在此,我们提出一种基于物理的简单方法来澄清关于硫酸盐主要形成途径的争论。首先,根据在同步尺度上演变的烟雾,在现场观测的约束下,利用欧拉质量守恒方程推导出一个特征硫酸盐形成率。然后,以该特征值为指导,利用零维化学箱模型确定主要的硫酸盐形成途径。我们的观测结果建立了实验室实验研究与化学传输模型模拟之间的联系。因此,我们可以对中国冬季灰霾天气中硫酸盐的形成机制达成共识。这种新方法具有通用性,可应用于各种雾霾条件和不同的二次产物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can we reach consensus on the dominant sulfate formation pathway in China’s haze?
Atmospheric sulfate aerosols contribute significantly to air pollution and climate change. Sulfate formation mechanisms during winter haze events in northern China have recently received considerable attention, with more than ten studies published in high-impact journals. However, the conclusions from in-field measurements, laboratory studies, and numerical simulations are inconsistent and even contradictory. Here, we propose a physically based yet simple method to clarify the debate on the dominant sulfate formation pathway. Based on the hazes evolving in the synoptic scale, first, a characteristic sulfate formation rate is derived using the Eulerian mass conservation equation constrained by in-situ observations. Then, this characteristic value is treated as a guideline to determine the dominant sulfate formation pathway with a zero-dimensional chemical box model. Our observation-derived results establish a linkage between studies from laboratory experiments and chemical transport model simulations. A convergent understanding could therefore be reached on sulfate formation mechanisms in China’s wintertime haze. The novel method is universal and can be applied to various haze conditions and different secondary products.
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CiteScore
1.80
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