Microphysical Analysis of Maritime and Continental Aerosols: Determination of Hygroscopic Growth Factors Using OPAC Data and Modeling Approaches
DOI:
https://doi.org/10.56919/usci.2434.002Keywords:
Hygroscopicity, maritime, continental, atmospheric aerosols, OPACAbstract
Study’s Excerpt/Novelty
- This study presents an application of mass-based hygroscopicity models to analyze microphysical properties of atmospheric aerosols from continental and maritime sources using data from the Optical Properties of Aerosols and Clouds (OPAC).
- By examining hygroscopic growth factors and effective radii at eight different relative humidities, the research highlights the significant variation in growth factors between maritime and continental aerosols, with maritime clean aerosols exhibiting a substantially higher growth factor at 99% RH.
- The study's robust statistical analysis, confirmed by R² values greater than 90% and significance levels below 0.05, demonstrates the model's efficacy for atmospheric modeling and remote sensing applications.
Full Abstract
The interplay of marine and continental sources governed the atmospheric aerosols over coastal areas. The transport of aerosols from continental sources into sea surfaces through deposition or diffusion is what causes the fast reduction of continental aerosols. A mass based based hygroscopicity models were applied to the data extracted from the Optical Properties of Aerosols and Clouds (OPAC). The microphysical properties obtained were radii, density, refractive index, mass, volume, and sphericity of the atmospheric aerosols of continental and maritime aerosols at eight different relative humidity of 0%, 50%, 70%, 80%, 90%, 95%, 98%, and 99%. Using the microphysical properties, hygroscopic growth factors, and effective radii of the mixtures, mass growth factor Gm and diameter growth factor DG were determined, and also the parameter Km for mass based of the aerosols were determined using multiple regression analysis with SPSS 16.0 at each relative humidity. The results show that Gm for maritime clean is higher than other aerosols, with a value of 34.46 at 99% RH, while the lowest value is for continental average, with a value of 5.03 at 99% RH. Also, R2 for the model is greater than 90%. The significance and P-values are less than 0.05; therefore, the model is good for atmospheric modeling and remote sensing.
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