Lina Wang1, Guangli Xiu 1, Yuanxiang Chen1, Fangyuan Xu2, Laiming Wu2, Danian Zhang1

  • 1 State Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
  • 2 Key Scientific Research Base of Museum Environment, State Administration for Cultural Heritage, Shanghai Museum, Shanghai 200050, China

Received: December 18, 2013
Revised: March 29, 2014
Accepted: May 5, 2014
Download Citation: ||https://doi.org/10.4209/aaqr.2013.12.0360  

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Cite this article:
Wang, L., Xiu, G., Chen, Y., Xu, F., Wu, L. and Zhang, D. (2015). Characterizing Particulate Pollutants in an Enclosed Museum in Shanghai, China. Aerosol Air Qual. Res. 15: 319-328. https://doi.org/10.4209/aaqr.2013.12.0360


HIGHLIGHTS

  • Particles were sampled and characterized in a museum in Shanghai.
  • The impact of storey, size and decorative flooring on particle was discussed. 
  • The relationship between OC and EC, together with OC and WSOC were investigated.

 

ABSTRACT


The present study reported simultaneous measurements of particle number concentration (PNC), particle mass concentration, water soluble organic carbon (WSOC), organic carbon (OC), elemental carbon (EC), particulate morphology and main elemental properties. The measurements were conducted in a museum located in the downtown area of Shanghai. The impacts of storey, particle size and decorative flooring on particle characteristics inside museum were investigated. Size fractionated PNC in display halls belonging to the same storey exhibited similar daily variations. Particles within the range of 0.3–0.5 µm were identified as the most significant contributors to the overall size distribution measured, as ambient fine particles penetrated through the mechanical ventilation system. Multi-lognormal fitting OC concentrations can be assigned to the presence of tourists in the museum or originate from secondary OC formation. The latter can be estimated by comparing the relationship between OC and EC, as well as OC and WSOC.


Keywords: Element carbon; Organic carbon; Particulate matter; WSOC


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