Project No. ACRP 02-57 COPY NO. 1
REDUCING THE IMPACT OF LEAD EMISSIONS AT AIRPORTS
Prepared for
Airport Cooperative Research Program
Transportation Research Board
of
The National Academies
Jim Lyons, Jeremy Heiken, and Poornima Dixit
Sierra Research
Sacramento, CA
Jay Turner and Neil Feinberg
Washington University in St. Louis
St. Louis, MO
Mary Vigilante
Synergy Consultants, Inc.
Seattle, WA
Deborah Dutcher Wilson
DW Environmental Consulting
Tampa, FL
June 2016
ACKNOWLEDGMENT OF SPONSORSHIP
X
DISCLAIMER
This is an uncorrected draft as submitted by the Contractor. The opinions and conclusions expressed or implied herein are those of the Contractor. They are not necessarily those of the Transportation Research Board, the National Academies, or the program sponsors.
1.Executive Summary 1
2.Leaded Gasoline Issues 3
2.1Health Impacts from Lead Exposure 3
2.2U.S. Standards for Airborne Lead Concentrations 4
2.3Addition of Lead to Gasoline 4
2.4Elimination of Lead from Motor Gasoline 4
2.5Use of Lead in Aviation Gasoline 5
2.6Impact of Lead at Airports 7
2.7Contribution of Airport Lead to Total U.S. Lead Emissions 8
3.Characterization of Potential Strategies to Minimize Lead Emission Impacts 10
3.1Use of Unleaded MOGAS 10
3.2Implementation 14
3.3Relocating or Redistributing Run-Up Areas 22
3.4Implementation of Strategy 2 26
4.Assessment of Potential Strategies to Reduce Lead Impacts 32
4.1Data Collection 32
4.2Model Development and Performance 34
4.3Evaluation of Pb Mitigation Strategies 40
4.4Modeled Impacts from Using MOGAS 49
4.5Combination of Both Strategies 53
Figure 1 U.S. Aviation Gasoline Consumption 6
Figure 2 Fuel Price Report Summary of Fuel Prices at 3668 FBOs Nationwide 14
Figure 3 Modeled Total and Source-Group-Specific PM-Pb Concentrations at RVS Airport 24
Figure 4 Airport Diagram and EPA Monitor Location at PAO 35
Figure 5 Measured and Modeled 12-hour Pb Concentrations at RVS (a) and SMO (b) 36
Figure 6 Year 2013 Measured and Modeled 24-hour average Pb Concentrations at PAO 37
Figure 7 Modeled and Total Source Group Specific PM-Pb Average Concentrations at PAO from Hourly Modeling During November, December, and January 2013 38
Figure 8 Three-Month Average Modeled Concentrations at RVS, SMO, and PAO 41
Figure 9 Map of RVS with Current and Hypothetical Modeled Run-up Locations 42
Figure 10 Modeled Three-Month Average Concentrations from November-January at RVS 43
Figure 11 Modeled Three-Month Average Concentrations from November-January at RVS with Engine Testing Emissions Removed 44
Figure 12 Map of SMO with Current and Hypothetical Modeled Run-up Locations 45
Figure 13 Modeled Three-Month Average Concentrations from November-January at SMO 46
Figure 14 Map of PAO with Current and Hypothetical Run-up Locations 47
Figure 15 Modeled Three-Month Average Concentrations from November-January at PAO 48
Figure 16 Maximum Three-Month Average Concentrations for the November-January Period at Each Airport for Different Run-Up Areas 49
Figure 17 Modeled Three-Month Average Concentrations from November-January at RVS 50
Figure 18 Modeled Three-Month Average Concentrations from November-January at SMO 51
Figure 19 Modeled Three-Month Average Concentrations from November-January at PAO 52
Figure 20 Maximum Three-Month Average Concentrations for the November-January Period at Each Airport for Base Case and MOGAS Scenarios 53
Figure 21 Modeled Three-Month Average Concentrations from November-January at RVS 54
Figure 22 Modeled Three-Month Average Concentrations from November-January at SMO 54
Figure 23 Modeled Three-Month Average Concentrations from November-January at PAO 55
Figure 24 Maximum Three-Month Average Concentrations for the November-January Period at Each Airport for the Base Case and Each of the Mitigation Strategies 56