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城市环境中的气溶胶混合状态、新粒子形成与云滴数浓度

Aerosol mixing state, new particle formation, and cloud droplet number concentration in an urban environment.

作者信息

Kasparoglu Sabin, Meskhidze Nicholas, Petters Markus D

机构信息

Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA; Air Quality Research Center, University of California, Davis, Davis, CA 95616, USA.

Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA.

出版信息

Sci Total Environ. 2024 Nov 15;951:175307. doi: 10.1016/j.scitotenv.2024.175307. Epub 2024 Aug 12.

Abstract

Anthropogenically derived aerosols have been hypothesized to influence convective precipitation by increasing the available pool of cloud condensation nuclei. Here, we present a synthesis of aerosol size distribution and subsaturated hygroscopicity measurements between 15 and 250 nm diameter particles during the TRacking Aerosol Convection interactions ExpeRiment (TRACER). We found that the aerosol is externally mixed and can be described by a quasi-two-component description comprising a more and less hygroscopic mode. The mean hygroscopicity parameters for these modes across all sizes were 0.03 ± 0.04 and 0.22 ± 0.08 with no significant dependence on particle size. The number fraction of the more hygroscopic mode is 40 % for particles between 15 and 40 nm and gradually increases to ~70 % for particles >100 nm. Winds from the southerly direction feature particles with larger hygroscopicity parameters and have a larger fraction of particles in the more hygroscopic mode. The hygroscopicity parameter exhibits diurnal cycles that are consistent with condensation of a species with a hygroscopicity parameter ~0.1 which corresponds to values expected for secondary organic aerosol. We also identified nine small particle events that were attributed to particle formation by nucleation. The data are consistent with new particle formation having occurred aloft, followed by downward mixing with daytime turbulence. The species that are responsible for modal growth had hygroscopicity parameters varying between 0.05 and 0.34. These values systematically depended on the wind sector, suggesting that the chemical composition of the precursors differed. Hourly cloud condensation nuclei (CCN) and cloud droplet number concentration (CDNC) values derived from the aerosol size distribution, subsaturated hygroscopicity measurements, and adiabatic parcel model simulations showed a dynamic range of a factor of 2-3 in CDNC depending on the wind sector, with lower values associated with southerly onshore flow.

摘要

人为产生的气溶胶被认为会通过增加云凝结核的可用库来影响对流降水。在此,我们对追踪气溶胶对流相互作用实验(TRACER)期间直径在15至250纳米的颗粒的气溶胶粒径分布和亚饱和吸湿性测量结果进行了综合分析。我们发现气溶胶是外部混合的,可以用一个准双组分描述来表示,包括一个吸湿性较强和较弱的模式。所有粒径下这些模式的平均吸湿性参数分别为0.03±0.04和0.22±0.08,且对粒径无显著依赖性。对于直径在15至40纳米之间的颗粒,吸湿性较强模式的数量分数为40%,对于直径大于100纳米的颗粒,该分数逐渐增加至约70%。来自南风方向的风所携带的颗粒具有较大的吸湿性参数,且在吸湿性较强模式中的颗粒比例更大。吸湿性参数呈现出日循环,这与吸湿性参数约为0.1的一种物质的凝结相一致,该值与二次有机气溶胶预期的值相对应。我们还识别出了九个小颗粒事件,这些事件归因于通过成核作用形成颗粒。数据与高空发生新颗粒形成、随后与白天的湍流向下混合的情况一致。导致模式增长的物质的吸湿性参数在0.05至0.34之间变化。这些值系统地取决于风向扇区,表明前体物质的化学成分不同。根据气溶胶粒径分布、亚饱和吸湿性测量结果和绝热气块模型模拟得出的每小时云凝结核(CCN)和云滴数浓度(CDNC)值显示,CDNC的动态范围在2至3倍之间,具体取决于风向扇区,较低的值与南风近岸气流相关。

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