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Applying open-path Fourier transform infrared spectroscopy for measuring aerosols
Chang-Fu Wu1, Yen-Ling Chen, Chih-Chieh Chen
1Department of Public Health, National Taiwan University, Taipei, Taiwan. changfu@ntu.edu.tw
Open-Path Fourier Transform Infrared Spectroscopy (OP-FTIR) effectively measures aerosol size distributions, even with added noise. This technique shows promise for initial aerosol screening before detailed campaigns.
Area of Science:
- Atmospheric Science
- Spectroscopy
- Aerosol Science
Background:
- Aerosols significantly impact climate and air quality.
- Accurate measurement of aerosol size distribution is crucial for atmospheric modeling.
- Open-Path Fourier Transform Infrared Spectroscopy (OP-FTIR) offers potential for in-situ aerosol characterization.
Purpose of the Study:
- To evaluate the feasibility of using OP-FTIR for aerosol measurement.
- To develop and validate an optimization procedure for retrieving aerosol size distribution parameters.
- To assess the sensitivity of OP-FTIR measurements to noise and aerosol mixing state.
Main Methods:
- Simulations using Mie theory to generate extinction spectra for various aerosols.
- Development of an optimization algorithm to retrieve geometric mean (GM) and geometric standard deviation (GSD) of aerosol size distributions.
- Experimental validation using water aerosols generated in a controlled chamber and measured with a modified FTIR.
Main Results:
- The optimization procedure successfully reconstructed size distributions for homogeneous/internally mixed aerosols with known refractive indices.
- Results remained robust up to 10% noise levels after applying censoring criteria.
- Externally mixed aerosols showed increased sensitivity to system noise, though most ambient aerosols are internally mixed.
Conclusions:
- OP-FTIR is a feasible technique for measuring aerosol size distributions.
- The method is robust for internally mixed aerosols and can tolerate moderate noise.
- OP-FTIR can serve as an effective tool for initial aerosol screening and identifying regions for detailed measurement campaigns.
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