VOC source apportionment: How monitoring characteristics influence positive matrix factorization (PMF) solutions.

ABSTRACT: Positive matrix factorization (PMF) can be used to develop more targeted air quality mitigation strategies by identifying major sources of a pollutant in an area. This technique is dependent, however, on the ability of PMF to resolve factors that accurately represent all sources of that pollutant in an area. We investigated how the accuracy of PMF solutions might be influenced by monitoring data characteristics, such as temporal resolution, monitoring location, and species composition, to better inform the use of PMF in VOC mitigation strategies. We applied PMF to five VOC monitoring programs collected within a four-year period in Colorado and found generally consistent factors, which we identified as oil extraction, processing, and evaporation; natural gas; vehicle exhaust; and liquid gas

SUBMITTER: Frischmon C 

PROVIDER: S-EPMC10993988 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature