4.6 Article

Prediction of Phase State of Secondary Organic Aerosol Internally Mixed with Aqueous Inorganic Salts

期刊

JOURNAL OF PHYSICAL CHEMISTRY A
卷 125, 期 47, 页码 10198-10206

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jpca.1c06773

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资金

  1. National Science Foundation [AGS1923651]
  2. FRIEND (Fine Particle Research Initiative in East Asia Considering National Differences) Project through the National Research Foundation of Korea (NRF) - Ministry of Science and ICT [2020M3G1A1114562]
  3. National Institute of Environmental Research [NIER2020-01-01-010]
  4. Microsoft AI for Earth [AI4E-1844-N6Q4-21010409]
  5. National Research Foundation of Korea [2020M3G1A1114562] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This study developed a regression model to predict aerosol phase separation relative humidity for various organic and inorganic mixes, showing that organic compounds with lower oxygen to carbon ratios, higher molecular weights, and higher aerosol acidity have greater phase separation relative humidity. Conversely, a larger fraction of inorganic nitrate led to lower phase separation relative humidity. The resulting model was demonstrated for three different SOA systems, showing liquid-liquid phase separation at relative humidity below 80%.
In the presence of inorganic salts, secondary organic aerosol (SOA) undergoes liquid-liquid phase separation (LLPS), liquid-solid phase separation, or a homogeneous phase in ambient air. In this study, a regression model was derived to predict aerosol phase separation relative humidity (SRH) for various organic and inorganic mixes. The model implemented organic physicochemical parameters (i.e., oxygen to carbon ratio, molecular weight, and hydrogen-bonding ability) and the parameters related to inorganic compositions (i.e., ammonium, sulfate, nitrate, and water). The aerosol phase data were observed using an optical microscope and also collected from the literature. The crystallization of aerosols at the effloresce RH (ERH) was semiempirically predicted with a neural network model. Overall, the greater SRH appeared for the organic compounds with the lower oxygen to carbon ratios or the greater molecular weight and the higher aerosol acidity or the larger fraction of inorganic nitrate led to the lower SRH. The resulting model has been demonstrated for three different chamber-generated SOA (originated from beta-pinene, toluene, and 1,3,5-trimethylbenzene), which were internally mixed with the inorganic aqueous system of ammonium-sulfate-water. For all three SOA systems, both observations and model predictions showed LLPS at RH <80%. In the urban atmosphere, LLPS is likely a frequent occurrence for the typical anthropogenic SOA, which originates from aromatic and alkane hydrocarbon.

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