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Estimating the probability of the public perceiving a decrease in atmospheric haze.

Ronald C Henry1

  • 1Department of Civil and Environmental Engineering, University of Southern California, Los Angeles 90089-2531, USA. rhenry@usc.edu

Journal of the Air & Waste Management Association (1995)
|December 15, 2005
PubMed
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Understanding visibility improvements requires knowing how much haze reduction people notice. A 2-4 deciview change offers a 67% probability of detecting improved visibility, impacting regulatory cost-benefit analyses.

Area of Science:

  • Atmospheric Science
  • Environmental Science
  • Perception Science

Background:

  • Regional haze regulations mandate reductions in atmospheric haze, measured by light scattering.
  • A key question is determining the visibility improvement perceivable by the public given reduced extinction.

Purpose of the Study:

  • To propose a quantitative definition for the probability of perceptible visibility improvement.
  • To develop a method for estimating this probability using field perception data.

Main Methods:

  • Utilized data from a field study involving 8 observers measuring visibility perception.
  • Applied a quantitative definition to estimate the probability of noticing visibility changes.

Main Results:

Related Experiment Videos

  • An estimated 2-4 deciview change provides a 67% maximum probability of detecting visibility improvement.
  • A 90% probability of detection requires a change of 3.5-7.0 deciviews.
  • The odds of perceiving a difference are at most 2:1 for a 2-4 deciview change.

    • Conclusions:

    • The study provides a framework for linking atmospheric haze reduction to public perception.
    • Results suggest significant deciview changes are needed for consistent visibility improvement detection.
    • Findings may influence cost-benefit analyses for environmental regulations.