Simultaneous detection method of atmospheric aerosol absorption and scattering coefficients based on photoacoustic spectroscopy and integrating nephelometry
Aerosols consist of solid or liquid particles suspended in a gaseous medium. Distinct aerosol particles exhibit unique absorption and scattering spectra, thereby influencing the absorption and scattering of solar radiation. These processes contribute to warming the surrounding atmosphere and cooling the Earth's surface, subsequently impacting convective processes and cloud properties. Various types of aerosols are introduced into the atmosphere through anthropogenic and natural processes, exerting an influence on climate via direct or indirect radiative forcing. Accurately measuring aerosol optical properties, particularly absorption and scattering coefficients, holds both scientific and economic significance for assessing the climatic impacts arising from regional and long-term aerosol pollution characteristics. In this paper, photoacoustic spectroscopy technology integrating nephelometry technology had been employed for the simultaneous temporal and spatial measurement of aerosol absorption and scattering coefficients. A dedicated gas cell and detection system were constructed, with the design process outlined in detail. Experimental results illustrated that the combined utilization of the resonant photoacoustic cell and integrating sphere enabled the simultaneous detection of aerosol absorption and scattering coefficients. This underscored the potential applicability of the proposed method in analyzing aerosol optical properties, offering a solution for in-situ stereo-monitoring of atmospheric aerosols.
Authors
- Ying Pan (ORCID: https://orcid.org/0009-0006-6979-5026)
- Yonghua Fang
- Zhengang Li (ORCID: https://orcid.org/0000-0002-9168-0341)
- Jiaxiang Liu (ORCID: https://orcid.org/0009-0005-0599-300X)
Institutions
- University of Science and Technology of China (CN)
- Chinese Academy of Sciences (CN)
- Hefei Institutes of Physical Science (CN)
Publication Details
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1117/12.3036792
- Citations
- 1
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.21