Impact of marine and continental sources on aerosol characteristics using an on-board SPAMS over southeast sea, China
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The chemical composition of atmospheric aerosols was characterized using an on-board single particle aerosol mass spectrometer (SPAMS) over the Southeast China Sea. High-time-resolution observation of marine aerosols was carried out to clarify the source of aerosols and the interaction of marine and continental aerosols. Atmospheric aerosols were determined by the interaction of continental and marine sources over coastal area. Aerosols from continental sources flux into sea surfaces through deposition or diffusion, which results in the rapid decrease of continental aerosols. Five main subtypes of carbonaceous particles are identified as C_Al-Si, C_V-Ni, C_S, C_K, and C_secondary to clarify the impact of marine and continental sources on atmospheric aerosols. High fraction of C_Al-Si and C_secondary is present over XA (Xiamen anchorage), accounting for 23.8% and 18.6% of total carbonaceous particles. Contrarily, the relative percentage of C_S increases as the distance from land to sea increases. The influence of continental aerosols declines, while the contribution of marine aerosols increases as the distance from land to sea increases. Air masses in XA, LSA (land to sea area), SLA (sea to land area), and SA (sea area) were all from ocean during the observation period, resulting in low relative fraction of continental aerosols in SLA, SA, and LSA. High-time-resolution measurement is useful to understand aerosol source types and the impact of marine and continental sources on marine atmosphere aerosols.
KeywordsMarine aerosol Chemical compositions Size distribution On-board observation Single particle aerosol mass spectrometer (SPAMS)
The authors gratefully acknowledge Guangzhou Hexin Analytical Instrument Company Limited for the SPAMS data analysis and on-board observation technical assistance. The authors gratefully acknowledge NOAA Air Resources laboratory (ARL) for the provision of the HYSPLIT_4 transport model used in this publication.
This study is financially supported by Qingdao National Laboratory for marine science and technology (No. QNLM2016ORP0109), the Natural Science Foundation of Fujian Province, China (No. 2015J05024), the National Natural Science Foundation of China (No. 21106018 and No. 41305133), the Scientific Research Foundation of Third Institute of Oceanography, SOA. (No. 2014027), and the Special Fund for Marine Researches in the Public Interest (No. 2004DIB5J178).
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