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- W3099510882 abstract "This article suggest new methods for measuring PM1.0 using extinction and others methods with assumption of constant aerosol mass density and bimodal size distribution. In this assumption, we have 6 independent parameters to describe full aerosol particle size. At first, we investigate the sensitivity of these 6 parameters to the extinctions, PM10, PM2.5, extinction coefficients. And we have found that there are only 4 independent parameters(total volumes and maximum sizes) which effects to the measureable quantities such as aerosol scattering extinctions and PM(particular matter). Other parameters such as the widths of particle size are not so important. From sensitivity analysis, we can conclude that we need only 4 main parameters to completely describe aerosol particle size distribution such as central size of fine particle and coarse particle, total volume of fine and coarse particle. If we use the aerosol information such as PM10 and PM2.5 which are measured by commercial methods, we only need two other information to retrieve two mode aerosol size and volume. The easy and allowable candidates are aerosol extinction coefficients at different at least two wavelengths. To find the retrieval characteristics, we have assumed aerosol size distribution and calculated PM10, PM2.5, and two extinctions at two wavelengths. Using simplex inversion algorithms, we found that fine particle size can be retrieved more precisely than coarse particle size. Finally we have discussed the reason of these retrieval characteristic and suggested the methods how to retrieving all information about aerosol." @default.
- W3099510882 created "2020-11-23" @default.
- W3099510882 creator A5058707464 @default.
- W3099510882 date "2020-11-08" @default.
- W3099510882 modified "2023-10-14" @default.
- W3099510882 title "Suggestion for fine and coarse particle size and total volumes extraction methods from the two extinctions and PM informations" @default.
- W3099510882 cites W1987250159 @default.
- W3099510882 cites W2046550057 @default.
- W3099510882 doi "https://doi.org/10.1117/12.2579804" @default.
- W3099510882 hasPublicationYear "2020" @default.
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