研究目的
To conduct on-line fluorescent aerosol measurements using WIBS-4A near an industrial zone in Nanjing, identify and speciate potential bioaerosols using hierarchical agglomerative cluster analysis, and investigate their temporal variation and atmospheric implications.
研究成果
Bioaerosols accounted for a small fraction of total particles but showed distinct diurnal patterns correlated with humidity. Bacteria were the dominant type, and bioaerosols can serve as efficient ice nuclei due to their irregular shapes. The combination of WIBS-4A and HACA is effective for bioaerosol investigation, though improvements in fluorescence detection could enhance specificity.
研究不足
WIBS-4A can only provide integrated fluorescent signals, limiting specific identification of bioaerosols. The instrument's detection range and sensitivity may miss smaller or less fluorescent particles. HACA is computationally intensive and requires subset sampling due to memory constraints.
1:Experimental Design and Method Selection:
The study involved field measurements using a WIBS-4A instrument to detect fluorescent aerosols, combined with an APS for size distribution and meteorological data. HACA was used for data analysis to classify bioaerosols.
2:Sample Selection and Data Sources:
Measurements were conducted from April 1 to May 8, 2014, at a meteorology observatory in Nanjing, China. Data included aerosol samples and meteorological parameters.
3:List of Experimental Equipment and Materials:
WIBS-4A (Droplet Measurement Technologies), TSI model 3321 APS, stainless steel tubing, HEPA filter, PSL spheres for calibration, and meteorological instruments.
4:Experimental Procedures and Operational Workflow:
Air samples were drawn into WIBS-4A, particles were sized and fluorescent signals measured. APS measured aerosol size distribution. HACA was applied to classify particles based on fluorescence, size, and asymmetry factor.
5:Data Analysis Methods:
HACA with average-linkage algorithm using IBM SPSS 19.0, statistical analysis of fluorescence intensities, size, and AF distributions.
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