Aggregation-driven reductions in the mass extinction coefficient of bioaerosols

Research progress of biological extinction materials

“…In order to study the similarity between the agglomerated particles we simulated and the actual agglomerated particles, we mainly verified it by two ways: one is to observe the particle morphology and structure of biological materials with an electronic microscope, the other is to observe the morphology and structure of biological aerosol agglomerated particles suspended in air with a high-power microscope, which is very similar to the simulated agglomerated particles we obtained. In this way, It is widely adopted and accepted to use the above aggregation models to study the aggregation particles of biological materials [3,16] .…”

“…Zhao Xinying et al [16] found that aggregation of bioaerosols can decrease the mass extinction coefficient, and the porosity of aggregation particles is a key factor affecting the mass extinction coefficient: the greater porosity, the smaller the mass extinction coefficient a bioaerosol. Lu Wei et al [31] used BPCA model to study the relationship between porosity and particle extinction characteristics and found that the extinction coefficient of polydisperse biological aggregation particles at the wavelength of 10.6μm increases with the decrease of the increase of the number of original particles, and the increase of the average particle size distribution.…”

Analysis of extinction characteristics of non-spherical biological particle aggregates [Invited]

“…The extinction characteristics of biomaterials have been widely studied by theoretical calculation. The extinction efficiency factor of different-shaped biological particles was calculated [8,9] , and the extinction characteristics of the monodisperse [4,7,10,11] and polydisperse [12] biological particle aggregates have been explored. However, previous models for calculating the extinction characteristics of biomaterials used spherical particles for aggregation, without considering the aggregation of irregularly shaped particles, and without considering the numerical simulation of randomly oriented irregular particle aggregation.…”

Remote sensing of optical properties of smoke aerosols: simulation experiment and application based on spaceborne data

“…on different platforms (i.e., laboratory, in - situ , airborne, and spaceborne) through field measurement, sampling, or laboratory test 16 – 22 …”

“…on different platforms (i.e., laboratory, in-situ, airborne, and spaceborne) through field measurement, sampling, or laboratory test. [16][17][18][19][20][21][22] Aerosol optical depth (AOD) can be retrieved from spaceborne data based on the optical properties of aerosol in the applied research. 8,23 There is a correlation between AOD and aerosol particle mass concentration.…”