Simultaneous retrieval of aerosol size and composition by multi-angle polarization scattering measurements

Guo, Wei; Zeng, Nan; Liao, Rui; Xu, Qiong; Guo, Jun; He, Yonghong; Di, Huige; Hua, Dengxin; Ma, Hui

doi:10.1016/j.optlaseng.2021.106799

Cited by 14 publications

(6 citation statements)

References 30 publications

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“…In our experiments, we used optical particle sizer (OPS-3330, TSI) for particle size measurement. The measurement process and the accuracy of the OPS can be referenced in [45].…”

Section: Sample Preparationmentioning

confidence: 99%

Multi-Angle Polarization Index System for Pollen Type Bioaerosol Recognition

Zeng

Guo

et al. 2022

Front. Phys.

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In this work, we propose a high-throughput online identification method of bioaerosols based on multi-angle polarization index system (MAPIS). In the study, four categories and 10 subclasses of aerosol samples from biological and non-biological sources are detected under three incident polarization mode. Then their measured MAPIS shows that bioaerosols like pollen can be easily distinguished from other types of aerosols. Not only that, experimental results also indicate the feasibility of fine identification between different kinds of bioaerosols based on MAPIS in P and R modes. To further extract simple and optimized polarization characterization parameters suitable for bioaerosols, we analyze the multidimensional data of MAPIS by PCA then validate the aerosol recognition accuracy using the first two principal components by multiple groups of randomly mixed aerosol datasets. The comparison with PCA components based on only scattering intensity demonstrate that MAPIS can be not only applied in the specific identification of bioaerosols but also suitable for the distinction between different kinds of bioaerosols.

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“…In our experiments, we used optical particle sizer (OPS-3330, TSI) for particle size measurement. The measurement process and the accuracy of the OPS can be referenced in [45].…”

Section: Sample Preparationmentioning

confidence: 99%

Multi-Angle Polarization Index System for Pollen Type Bioaerosol Recognition

Zeng

Guo

et al. 2022

Front. Phys.

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“…Relative to light intensity measurements, optical measurements that include polarization analysis have a higher dimensionality of information, and high-dimensional polarization data convey rich optical properties of particles including composition, refractive index, particle size distribution, and morphology characteristics, which allow for more accurate aerosol classification and enhance the ability to identify mixed aerosols 12,13 . This paper takes five types of natural samples, including motor vehicle exhaust, blind coal, coal, biomass combustion and dust, which are common pollutants in urban development, as an example, and focuses on the application of distribution spectra and central spectra of multidimensional polarization metrics in the classification and resolution of mixed aerosols.…”

Section: Introductionmentioning

confidence: 99%

Application of multidimensional polarization in aerosol source analysis

lv,

Song,

Zeng

2023

Fourteenth International Conference on Information Optics and Photonics (CIOP 2023)

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“…However, laser beams can easily be reflected or scattered. On a battlefield, aerosol particles such as smoke [ 7 , 8 ], fog [ 9 , 10 , 11 ], and dust [ 12 , 13 , 14 , 15 , 16 ] are common and may interfere with the laser, reducing its detection and recognition performance. In particular, soil dust [ 17 ] kicked up by vehicles or scattered by the explosion of shallowly buried ammunition can absorb and scatter laser radiation, potentially leading to lidar detection failure or early detonation of a laser fuze.…”

Section: Introductionmentioning

confidence: 99%

Backscattering Echo Intensity Characteristics of Laser in Soil Explosion Dust

Gao

Lien

Chen

et al. 2023

Sensors

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Soil dust generated by explosions can lead to the absorption and scattering of lasers, resulting in low detection and recognition accuracy for laser-based devices. Field tests to assess laser transmission characteristics in soil explosion dust are dangerous and involve uncontrollable environmental conditions. Instead, we propose using high-speed cameras and an indoor explosion chamber to assess the backscattering echo intensity characteristics of lasers in dust generated by small-scale explosive blasts in soil. We analyzed the influence of the mass of the explosive, depth of burial, and soil moisture content on crater features and temporal and spatial distributions of soil explosion dust. We also measured the backscattering echo intensity of a 905 nm laser at different heights. The results showed that the concentration of soil explosion dust was highest in the first 500 ms. The minimum normalized peak echo voltage ranged from 0.318 to 0.658. The backscattering echo intensity of the laser was found to be strongly correlated with the mean gray value of the monochrome image of soil explosion dust. This study provides experimental data and a theoretical basis for the accurate detection and recognition of lasers in soil explosion dust environments.

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Simultaneous retrieval of aerosol size and composition by multi-angle polarization scattering measurements

Cited by 14 publications

References 30 publications

Multi-Angle Polarization Index System for Pollen Type Bioaerosol Recognition

Multi-Angle Polarization Index System for Pollen Type Bioaerosol Recognition

Application of multidimensional polarization in aerosol source analysis

Backscattering Echo Intensity Characteristics of Laser in Soil Explosion Dust

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