Assessing PM 2.5 Emissions Impacts from Ocean- Going Ships: How Effec@ve have Regula@ons Been on the U.S. West Coast? Robert Kotchenruther Ph.D. EPA Region 10
Why be concerned about ship emissions? Dirty Fuel Many ocean going ships use a very dirty fuel - residual fuel oil - Residual fuel oil - The waste product of the refining process. a.k.a. bunker fuel Fuel oil No. 6 World- wide average fuel sulfur content ~ 2.7% (27,000 ppm S) Combus@on emissions are also very dirty: rich in metals and toxics.
Emissions have been regulated by targeting fuel sulfur content, which is proportional to emissions of PM 2.5 & SO 2 There have been 2 fuel sulfur regulations effecting ocean-going ships on the U.S. West Coast California Ocean- Going Vessel Clean Fuel Regula@on: 24 mile coastal zone, California only North American Emissions Control Area (NA- ECA): 200 mile coastal zone, U.S. & Canada 24 NM zone California Important differences: Ø Regulated off-shore distance California = 24 NM NA-ECA = 200 NM Ø California mandates the use of distillates NA-ECA, fuel S achieved by any means Ø Implementation timelines Canada US 200 NM zone
Implementation timelines California Ocean- Going Vessel Clean Fuel Regula@on: 24 mile coastal zone, California only No Sulfur Regula1on (~2.7% S, world- wide) 1.5% S 1.0% S 0.1% S 2008 2009 2010 2011 2012 2013 2014 2015 No Sulfur Regula1on (~2.7% S, world wide) 1.0% S 0.1% S North American Emissions Control Area (NA- ECA): 200 mile coastal zone, U.S. & Canada I analyzed available data through this period We are here
How can one identify and quantify marine vessel impacts? Combustion emissions of residual fuel oil have a unique chemical signature. This chemical signature can be iden1fied in PM 2.5 measurements using certain sta1s1cal methods akin to paoern recogni1on methods (PMF receptor modeling). These methods can determine if a monitoring site is impacted by residual fuel oil combus1on, and by how much. Back in 2012, I showed this group results (analysis by Posi1ve Matrix Factoriza1on, PMF) for the Pacific Northwest, for data just prior to the implementa1on of the North American ECA. From 2012 Analysis: Monitors showing marine vessel impacts. Monthly average PM2.5 impact from ships burning RFO. Monthly Average PM 2.5 : Fuel Oil Combustion (ug/m 3 ) 3.0 2.5 2.0 1.5 1.0 0.5 0.0 1 2 3 4 5 6 7 8 9 10 11 12 Month of Year Marysville Tacoma (AL) Seattle (DW) North Cascades Seattle (BH) Redwood NP Kalmiopsis Mount Rainier NP Tacoma (SL) Snoqualmie Pass Makah Tribe White Pass Columbia Gorge Olympic NP
New Analysis to Determine the Effects of Regulations Using the same analysis methodology. Analyzed monitoring sites that had the strongest marine vessel signatures. 8 sites were analyzed in this new analysis, 5 in Washington North Cascades Park (NOCA) Olympic National Park (OLYM) Seattle (PUSO) Snoqualmie Pass (SNPA) Mount Rainier (MORA) 3 in California Point Reyes (PORE) Pinnacles (PINN) Agua Tibia (AGTI)
New Analysis, Examples: Example Time Series of Marine Vessel PM 2.5 Impacts, 2006-2013 PM 2.5 Mass (µg/m3) 1.5 1.0 0.5 Olympic National Park (OLYM) Marine Vessel PM 2.5 Impacts OLYM site 0.0 PM 2.5 Mass (µg/m3) 8 7 6 5 4 3 2 1 0 2008 2009 2010 2011 2012 2013 2006 2008 2009 2010 2011 2012 2013 Agua Tibia (AGTI) Marine Vessel PM 2. 5 Impacts AGTI site
Determining the Effects of California s Ocean-Going Vessel Clean Fuel Regulation Compared marine vessel PM 2.5 impacts between two 3- year periods PM 2.5 Mass (µg/m3) 8 7 6 5 4 3 2 1 0 Example marine vessel impact data Before CA Reg Agua Tibia (AGTI) Marine Vessel PM 2. 5 Impacts 2008 2009 2010 2011 2012 2013 Ager CA Reg 3 years before CA regula@on 7/2006 6/2009 3 years ager CA regula@on 8/2009 7/2012 No Sulfur Regula1on (~2.7% S, world- wide) 1.5% S 1.0% S 0.1% S 2008 2009 2010 2011 2012 2013 2014 2015 No Sulfur Regula1on (~2.7% S, world wide) 1.0% S 0.1% S
Results: Effects of California Ocean- Going Vessel Clean Fuel Regula@on Washington Percent change in average PM 2.5 from 7/2006 6/2009 (unregulated, ~2.7% S) vs. 8/2009 7/2012 (unregulated, ~2.7% S) California Percent change in average PM 2.5 from 7/2006 6/2009 (unregulated, ~2.7% S) vs. 8/2009 7/2012 (1.5 % S & dis@llate only in CA) Percent Change in Annualized Average PM 2.5 from Marine Vessels 10 0-10 -20-30 -40-50 -60 (a) WA State sites Effects of implementing the CA-CFR Not statistically significant Statistically significant CA State sites Because CA regula@ons mandate dis@llate use, the effec@ve average fuel S was 0.3% based on enforcement data. NOCA OLYM PUSO SNPA MORA PORE PINN AGTI IMPROVE Sites
Determining the Effects of California s Ocean-Going Vessel Clean Fuel Regulation We can also look at all IMPROVE sites and test to see which sites had statistically significant reductions in measured V+Ni data. Green circles in the map to the right are sites where there was statistically significant reductions in V+Ni comparing the 3 years prior to the CA regulation and 3 years after: 7/2006 6/2009 vs 8/2009 7/2012. Only Sites in CA show statistically significant reductions.
Determining the Effects of the North American Emissions Control Area Regulation Compared marine vessel PM 2.5 impacts from 3- years prior to regula@on and 1 year ager. PM 2.5 Mass (µg/m3) 1.5 1.0 0.5 Example marine vessel impact data Olympic National Park (OLYM) Marine Vessel PM 2.5 Impacts Before Reg Ager Reg 0.0 2006 2008 2009 2010 2011 2012 2013 8/2009 7/2012 (3- year period) 9/2012 8/2013 (1- year period) No Sulfur Regula1on (~2.7% S, world- wide) 1.5% S 1.0% S 0.1% S 2008 2009 2010 2011 2012 2013 2014 2015 No Sulfur Regula1on (~2.7% S, world wide) 1.0% S 0.1% S
Results: Effects of the North American Emissions Control Area Washington Percent change in average PM 2.5 from 8/2009 7/2012 (unregulated, ~2.7% S) vs. 9/2012 8/2013 (ECA, 1.0% S) California Percent change in average PM 2.5 from 8/2009 7/2012 (1.5 % S & dis@llate only in CA) vs. 9/2012 8/2013 (1.0 % S & dis@llate only in CA within 24 NM) Percent Change in Annualized Average PM 2.5 from Marine Vessels 10 (b) WA State sites CA State sites 0-10 -20-30 -40-50 -60 Effects of implementing the NA-ECA Not statistically significant Statistically significant NOCA OLYM PUSO SNPA MORA PORE PINN AGTI IMPROVE Sites Notes: Authority to enforce the ECA in Canada was not authorized un@l May 2013. Effec@ve fuel S in CA likely ~ 0.3% for both periods for CA regs, but second period adds ECA regs out to 200 NM.
Determining the Effects of the North American Emissions Control Area Regulation We can also look at all IMPROVE sites and test to see which sites had statistically significant reductions in measured V+Ni data. Green circles in the map to the right are sites where there was statistically significant reductions in V+Ni comparing the 3 years prior to the ECA regulation and 1 year after: 8/2009 7/2012 vs 9/2012 8/2013. Sites in both WA & CA show statistically significant reductions.
A common ques@on. Could annual changes in shipping volume have effected these results? Yearly Waterborne Tonnage by State Major West Coast Port Shipping Container Traffic Yearly Waterborne Shipping (thousand tons) 300000 250000 200000 150000 100000 50000 CA state waterborne shipping (thousand tons) WA state waterborne shipping (thousand tons) OR state waterborne shipping (thousand tons) Yearly Waterborne Shipping (thousand tons) 6000000 5000000 4000000 3000000 2000000 1000000 Los Angeles CA Long Beach CA Oakland CA Seattle WA Tacoma WA Portland OR 0 0 2005 2006 2008 2009 2010 2011 2012 2013 2005 2006 2008 2009 2010 2011 2012 2013 (US Army Corps of Engineers, Waterborne Commerce Sta@s@cs Center. hnp://www.naviga@ondatacenter.us/wcsc/wcsc.htm)
Conclusions: California regula@ons have been effec@ve at reducing PM 2.5 impacts from ocean- going ships at all sites analyzed by ~30-50% (from 2009 vs. 2009 2012). Mixed results for ECA. Many sites showed PM2.5 reduc@ons in first year of implementa@on, but some were not sta@s@cally significant. Future work: I intend to revisit this analysis one a full year of data is available for 2015 (first year of 0.1% S phase of ECA). More Informa@on: See: Kotchenruther, R. A., Atmospheric Environment 103 (2015) 121-128.
Thank you!