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Revised algorithm for estimating light extinction from IMPROVE particle speciation data.

Marc Pitchford1, William Maim, Bret Schichtel

  • 1National Oceanic and Atmospheric Administration, Air Research Laboratories, Las Vegas, NV 89119-7363, USA. marcp@dri.edu

Journal of the Air & Waste Management Association (1995)
|December 12, 2007
PubMed
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A new algorithm improves light extinction estimates from particulate matter data, reducing bias in haze trend tracking. This enhanced method better represents atmospheric aerosols and refines haze metric calculations for protected environments.

Area of Science:

  • Atmospheric Science
  • Environmental Monitoring
  • Aerosol Science

Background:

  • The Interagency Monitoring of Protected Visual Environments (IMPROVE) network uses particle monitoring to track haze trends.
  • The 1999 Regional Haze Rule incorporated a simple algorithm for estimating light extinction from measured species concentrations.
  • This algorithm served as the basis for the haze metric used in tracking visibility trends.

Purpose of the Study:

  • To develop and validate a revised algorithm for estimating light extinction from particulate matter species concentrations.
  • To improve the accuracy and reduce bias in haze metric calculations, particularly at high and low light extinction extremes.
  • To enhance the consistency of the light extinction estimation algorithm with current atmospheric aerosol literature.

Main Methods:

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  • A revised algorithm was developed, incorporating new terms for sea salt scattering, organic mass to carbon ratio, site-specific Rayleigh scattering, and nitrogen dioxide absorption.
  • The revised algorithm utilizes a split component extinction efficiency for sulfate, nitrate, and organic mass species.
  • Light scattering estimates from both the original and revised algorithms were compared with nephelometer measurements at 21 IMPROVE sites.

Main Results:

  • The revised algorithm demonstrated reduced underprediction of high haze periods and overprediction of low haze periods compared to the original algorithm.
  • Improvements were most noticeable at hazier monitoring sites, particularly in the eastern United States.
  • Particulate matter composition for the best and worst haze condition days remained consistent across both algorithms and nephelometer measurements.

Conclusions:

  • The revised algorithm provides more accurate light extinction estimates and improves haze trend tracking.
  • The updated method better aligns with current atmospheric aerosol research and reduces biases in visibility assessments.
  • The findings support the use of the revised algorithm for more reliable monitoring of protected visual environments.