Mining airborne particulate size distribution data by positive matrix factorization

@inproceedings{Zhou2005MiningAP,
  title={Mining airborne particulate size distribution data by positive matrix factorization},
  author={Liming Zhou and Eugene Kim and Philip K. Hopke and Charles O. Stanier and Spyros N Pandis},
  year={2005}
}
[1] Airborne particulate size distribution data acquired in Pittsburgh from July 2001 to June 2002 were analyzed as a bilinear receptor model solved by positive matrix factorization (PMF). The data were obtained from two scanning mobility particle spectrometers and an aerodynamic particle sampler with a temporal resolution of 15 min. Each sample contained 165 size bins from 0.003 to 2.5 μm. Particle growth periods in nucleation events were identified, and the data in these intervals were… CONTINUE READING

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