ACS  Vol.2 No.1 , January 2012
Site Specific Uncertainty in Regional Haze RuleHaze Indexes
Author(s) Patrick A. Ryan
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%.
KEYWORDS
Haze

Cite this paper
P. Ryan, "Site Specific Uncertainty in Regional Haze RuleHaze Indexes," Atmospheric and Climate Sciences, Vol. 2 No. 1, 2012, pp. 1-7. doi: 10.4236/acs.2012.21001.
References
[1]   US Environmental Protection Agency, “Regional Haze Rule, 40 CFR Part 51, Regional Haze Regulations,” Final Rule, 1 July 1999.

[2]   US Environmental Protection Agency, “Guidance for Estimating Natural Visibility Conditions under the Regional Haze Program,” EPA-444/B-03-005, September 2003.

[3]   US Environmental Protection Agency, “Draft Guidance for Tracking Progress under the Regional Haze Rule,” EPA-444/B-03-004, September 2003.

[4]   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

[5]   National Institute of Science and Technology, “e-Handbook of Statistical Methods,” 5 July 2010. http://www.itl.nist.gov/div898/handbook/

[6]   IMPROVE (2005). “IMPROVE Data,” 2 July 2010. ftp://vista.cira.colostate.edu/Public/AirQuality/Data/Aerosol/IMPROVE/EntireDataset/

[7]   P. A. Ryan, D. Lowenthal and N. Kumar, “Improved Light Extinction Reconstruction in Interagency Monitoring of Protected Visual Environments,” Journal of the Air & Waste Management Association, Vol. 55, 2005, pp. 1751-1759.

[8]   J. Rokjin, D. Jacoba, N. Kumar and R. Yantoscaa, “Regional Visibility Statistics in the United States: Natural and Transboundary Pollution Influences, and Implications for the Regional Haze Rule,” Atmospheric Environment, Vol. 40, No. 28, 2006, pp. 5405-5423. doi:10.1016/j.atmosenv.2006.04.059

[9]   C. Heald, D. Jacob, R. Park, B. Alexander, T. Fairlie, R. Yantosca and D. Chu, “Transpacific Transport of Asian Anthropogenic Aerosols and Its Impact on Surface Air Quality in the United States,” Journal of Geophysical Research, Vol. 111, 2007, Article ID: D14310.

 
 
Top