Short-term source apportionment of fine particulate matter with time-dependent profiles using SoFi Pro: exploring the reliability of rolling positive matrix factorization (PMF) applied to bihourly molecular and elemental tracer data
Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan, China
Department of Chemistry, The Hong Kong University of Science and Technology, Hong Kong, China
Shuhui Zhu
State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, China
Shan Wang
Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China
State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, China
Yusen Duan
Shanghai Environmental Monitoring Center, Sanjiang Road, Xuhui District, Shanghai, China
We investigated short-term source apportionment of PM2.5 utilizing rolling positive matrix factorization (PMF) and online PM chemical speciation data, which included source-specific organic tracers collected over a period of 37 d during the winter of 2019–2020 in suburban Shanghai, China. The findings highlight that by imposing constraints on the primary source profiles, short-term PMF analysis successfully replicated both the individual primary sources and the total secondary sources.
We investigated short-term source apportionment of PM2.5 utilizing rolling positive matrix...
