AAAR 36th Annual Conference October 16 - October 20, 2017 Raleigh Convention Center Raleigh, North Carolina, USA
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A Comparison of the Source Apportionment of Fine Particles Measured over a National Park in Central India Using PMF2 and US EPA PMF5
SAMRESH KUMAR, Ramya Sunder Raman, Jayant Nirmalkar, Indian Institute of Science Education and Research, Bhopal
Abstract Number: 674 Working Group: Source Apportionment
Abstract Fine particulate matter (PM2.5) samples were collected every other day between 01 January 2012 and 31 December 2013 over a National Park in Bhopal, central India. 12 hour integrated (alternating between day and night) samples were collected onto different filter substrates using co-located Mini-Vol® samplers to measure the concentrations of fine PM mass, trace elements, thermal/optical carbon fractions and water soluble inorganic ions. The objective of this study was to use these measurements in a receptor modeling framework to identify the sources of PM2.5 mass measured over the study location and to quantify their mass contributions.
Receptor models identify and apportion ambient aerosol mass using mass balance analysis. Positive Matrix Factorization (PMF) is a popular factor analytic model for aerosol mass apportionment. Over the years, several algorithms have been developed to solve the PMF problem, each with their own advantages and limitations. PMF-2 and multilinear engine (ME-2) are two such algorithms. In this study, PMF-2 and ME-2 (US EPA PMF5) will be applied to a combination of fine PM mass and 35 chemical (329 samples in all) to apportion the fine particle mass measured over Bhopal, India. The model apportioned factors and factor contributions obtained using these two PMF implementations will be compared.