Physics

Geology

Meteorology

Diffuse sky radiation

Image (mathematics)

Optics

Physical chemistry

Artificial intelligence

Stokes parameters

Chemistry

Scattering

Polarization (electrochemistry)

Aerosol

Computer science

Histogram

Atmospheric optics

Computational physics

Remote sensing

Optics Express

In this work, we present an in situ online aerosol recognition scheme by synchronized parallel polarization scattering analysis. By theoretical simulations, we select the feasible scattering angles and evaluate the potential of Stokes parameters to identify aerosols. Correspondingly, we develop a measurement system based on multi-angle optical scattering and multidimensional polarization analyzing technique. We construct two index groups based on non-normalized and normalized polarization parameters respectively, and employ their frequency distribution histograms instead of the simple average values to identify and classify different types of aerosols. The experimental verification confirms a future way of a multi-dimensional polarization parameter group applied in a fast and effective air pollutants monitoring.

Study on polarization scattering applied in aerosol recognition in the air