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Updated: Feb 25, 2026

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
Published on: January 7, 2019
One-year online observation of PM2.5 composition in jiaxing city: Temporal evolution, source apportionment, and
Fangwei Zuo1, Xiaopei Xu2, Feifei Yu2
1Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Abstract:
High-resolution pollution data for coastal industrial cities remain scarce compared to megacities, limiting effective regional management. This study investigates PM2.5 chemical compositions and identifies sources and transport impacts in Jiaxing, a representative manufacturing hub in the Yangtze River Delta, using one-year online observations (August 2024-July 2025) from the Wuzhen Superstation via the PMF and HYSPLIT models. The dominant components were: NO3- (32.94%), NH4+ (15.63%), POC (11.92%), SO42- (11.62%), and SOC (7.65%). Winter concentrations of NO3-, NH4+, and SO42- were 1.75-5.90 times higher than summer levels. NO3- dominated in winter (39.15%), but halved in summer, while POC became more significant (15.33%). Photochemical activity (related to O3 formation) was the primary annual source (42.56%), peaking in spring (58.71%). Diurnal variation: SO42- exhibited an afternoon peak in summer, autumn, and winter, with mild fluctuations in spring, while other ions showed minor seasonal differences; Carbonaceous components displayed bimodal distributions in most seasons (peaking at 07:00 and 17:00) but a unimodal peak in summer. (peaking at 10:00); Diurnal variations of elements were significant in spring and summer, with clear distinctions among the respective components. Continental air masses generally carried higher pollution. Summer-autumn marine air masses favored NO3- formation, while winter southern marine air masses carried elevated elements. High PM2.5 pollution (150-200 μg/m3) was primarily dominated by NO3-, NH4+, and SO42- (collectively 78.85%), with pollution sources co-dominated by secondary and vehicle-coal combustion (collectively 75.65%). Under high O3 pollution (250-300 μg/m3), photochemical activity predominated (80%), SNA concentrations halved and SOC increased 7.64-fold (collectively 62.98%) compared to low O3 levels (0-50 μg/m3). These findings highlight the necessity of NOx and VOCs control in coastal industrial cities.
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