We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Source apportionment resolved by time-of-day for improved deconvolution of primary source contributions to air pollution.
- Authors
Bhandari, Sahil; Arub, Zainab; Habib, Gazala; Apte, Joshua S.; Ruiz, Lea Hildebrandt
- Abstract
Present methodologies for source apportionment assume fixed source profiles. Since meteorology and human activity patterns change seasonally and diurnally, application of source apportionment techniques to shorter rather than longer time periods generates more representative mass spectra. Here, we present a new method to conduct source apportionment resolved by time of day using the underlying approach of positive matrix factorization (PMF). We call this approach “time of-day PMF” and statistically demonstrate the improvements in this approach over traditional PMF. We report on source apportionment conducted on four example time periods in two seasons (winter and monsoon 2017), using organic aerosol measurements from an Aerosol Chemical Speciation Monitor (ACSM). We deploy the EPA PMF tool with the underlying Multilinear Engine (ME-2) as the PMF solver. Compared to the traditional seasonal PMF approach, we extract a larger number of factors as well as PMF factors that represent the expected sources of primary organic aerosol using time-of-day PMF. By capturing diurnal time series patterns of sources at a low computational cost, time-of-day PMF can utilize large datasets collected using long-term monitoring and improve the characterization of sources of organic aerosol compared to traditional PMF approaches that do not resolve by time of day.
- Subjects
AIR pollution; POLLUTION source apportionment; MASS spectrometry; MATRIX decomposition; CARBONACEOUS aerosols; TIME series analysis; AEROSOLS
- Publication
Atmospheric Measurement Techniques Discussions, 2022, p1
- ISSN
1867-8610
- Publication type
Article
- DOI
10.5194/amt-2022-76