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Post-processing Method to Reduce Noise while Preserving High Time Resolution in Aethalometer Real-time Black Carbon Data

Category: Articles

Volume: 11 | Issue: 5 | Pages: 539-546
DOI: 10.4209/aaqr.2011.05.0055
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Gayle S.W. Hagler 1, Tiffany L.B. Yelverton1, Ram Vedantham2, Anthony D.A. Hansen3, Jay R. Turner4

  • 1 US EPA, Office of Research and Development, National Risk Management Research Laboratory, Research Triangle Park, NC, USA
  • 2 US EPA, Office of Research and Development, National Exposure Research Laboratory, Research Triangle Park, NC, USA
  • 3 Magee Scientific, Berkeley, CA, USA
  • 4 Department of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA


Real-time aerosol black carbon (BC) data, presented at time resolutions on the order of seconds to minutes, is desirable in field and source characterization studies measuring rapidly varying concentrations of BC. The Optimized Noise-reduction Averaging (ONA) algorithm has been developed to post-process data from the Aethalometer, one of the widely used real-time BC instruments. The ONA program conducts adaptive time-averaging of the BC data, with the incremental light attenuation (∆ATN) through the instrument’s internal filter determining the time window of averaging. Analysis of instrument noise and the algorithm performance was conducted using Aethalometer 1-second data from a soot generation experiment, where input BC concentrations were maintained constant and an optimal ∆ATNmin value was defined. The ONA procedure was applied to four additional data sets (1 s to 5 min data), including cookstove emissions tests, mobile monitoring, continuous near-road measurements, and indoor air sampling. For these data, the algorithm reduces the occurrence of negative values to virtually zero while preserving the significant dynamic trends in the time series.


Smoothing Aerosol Carbonaceous Soot Aethalometer

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