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M. Pitchford, W. Malm, B. Schichtel, N. Kumar, D. Lowenthal and J. Hand, “Revised Algorithm for Estimating Light Extinction from IMPROVE Particle Speciation Data,” Journal of the Air & Waste Management Association, Vol. 57, 2007, pp. 1326-1336. doi:10.3155/1047-3289.57.11.1326

has been cited by the following article:

• TITLE: Site Specific Uncertainty in Regional Haze RuleHaze Indexes

  AUTHORS: Patrick A. Ryan

  KEYWORDS: Haze

  JOURNAL NAME: Atmospheric and Climate Sciences, Vol.2 No.1, January 19, 2012

  ABSTRACT: In 1999, the US Environmental Protection Agency (EPA) published the regional haze rule (RHR). The RHR default implementation plan calls for each class I area 20% worst baseline (2000-2004) visibility to improve linearly in time to natural conditions in 2064 and in calendar year 2018, each class I area 20% worst visibility is to comply with the 2018 visibility that falls on the linear improvement glide path from baseline (2000-2004) to natural (2064) conditions. This study shows that accurately assessing compliance depends on assessing the uncertainty in baseline, natural and 2018 visibility estimates. This study identifies ±3 dV and ±4 dV of uncertainty in 20% worst natural and baseline visibility estimates. The percent uncertainty in calculated 2018 glide path visibility values ranges from 10% - 45%.