Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship
Aerosols are composed of suspended solid or liquid particles and interact with solar radiation through absorption, refraction, and scattering, influencing climate variability. The Ångström exponent (α) is commonly used to differentiate particle sizes, but its relationship with aerosol optical depth...
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2025-04-01
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| author | Dyi-Huey Chang |
| author_facet | Dyi-Huey Chang |
| author_sort | Dyi-Huey Chang |
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| description | Aerosols are composed of suspended solid or liquid particles and interact with solar radiation through absorption, refraction, and scattering, influencing climate variability. The Ångström exponent (α) is commonly used to differentiate particle sizes, but its relationship with aerosol optical depth (AOD) and wavelength (λ) is non-linear. This relationship is modeled using higher-order polynomial expressions in this study based on the AOD data from the AErosol RObotic NETwork (AERONET). In the model, polynomial coefficients are used to effectively classify aerosol types, such as dust and biomass-burning aerosols, with a strong correlation among coefficients of the same order. Such a close correlation among the coefficients of the same polynomial order is attributed to a large variability. The coefficients of the same order exhibit a scaled relationship, where scaling factors are expressed as a function of wavelength. |
| format | Article |
| id | doaj-art-f4f6a658ff9841b781c32c746089bbdf |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-f4f6a658ff9841b781c32c746089bbdf2025-08-20T03:24:35ZengMDPI AGEngineering Proceedings2673-45912025-04-01911110.3390/engproc2025091001Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength RelationshipDyi-Huey Chang0Department of Environmental Engineering and Management, Chaoyang University of Technology, Taichung 413310, TaiwanAerosols are composed of suspended solid or liquid particles and interact with solar radiation through absorption, refraction, and scattering, influencing climate variability. The Ångström exponent (α) is commonly used to differentiate particle sizes, but its relationship with aerosol optical depth (AOD) and wavelength (λ) is non-linear. This relationship is modeled using higher-order polynomial expressions in this study based on the AOD data from the AErosol RObotic NETwork (AERONET). In the model, polynomial coefficients are used to effectively classify aerosol types, such as dust and biomass-burning aerosols, with a strong correlation among coefficients of the same order. Such a close correlation among the coefficients of the same polynomial order is attributed to a large variability. The coefficients of the same order exhibit a scaled relationship, where scaling factors are expressed as a function of wavelength.https://www.mdpi.com/2673-4591/91/1/1AERONETÅngström exponentaerosol optical depth |
| spellingShingle | Dyi-Huey Chang Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship Engineering Proceedings AERONET Ångström exponent aerosol optical depth |
| title | Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship |
| title_full | Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship |
| title_fullStr | Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship |
| title_full_unstemmed | Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship |
| title_short | Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship |
| title_sort | classifying aerosol particle size using polynomial coefficient of aerosol optical depth wavelength relationship |
| topic | AERONET Ångström exponent aerosol optical depth |
| url | https://www.mdpi.com/2673-4591/91/1/1 |
| work_keys_str_mv | AT dyihueychang classifyingaerosolparticlesizeusingpolynomialcoefficientofaerosolopticaldepthwavelengthrelationship |