SlideShare a Scribd company logo
1 of 24
Polycyclic Aromatic Hydrocarbons in the
San Francisco Estuary
Distributions, Trends, and Sources
in Sediments (1993-2001)
Daniel R. Oros and John R.M. Ross
San Francisco Estuary Institute
7770 Pardee Lane, Oakland, CA 94621
9-Year Synthesis 1993-2001: PAH Series
Oros and Ross. PAH in SF Estuary sediments.
Marine Chemistry 86:169-184, 2004.
Ross and Oros. PAH in the in SF Estuary water column.
Submitted to Chemosphere
Oros and Ross. PAH in SF Estuary bivalves.
Submitted to Marine Environmental Research
Why are PAH of concern?
• Genotoxic
• Mutagenic
• Carcinogenic
• Ubiquitous
• Constant input (limited or no control of non-point
sources)
• Regional Board’s Section 303(d) “Watch” List
How do PAH enter the estuary?
Trains
Ferries
Vehicular Traffic
Industrial Emissions
Fishing and Commercial Vessels
Combustion of Refined Petroleum Products
Natural and Intentional Burning of Biomass Fuels
Fireplaces
Natural Fires
Campfires
Uncontrolled and Accidental Input of Unburned
Petroleum and its Refined Products
Asphalt and Lube Oil
Creosote Treated Pier Pilings
Spills (e.g., crude oil)
60,000 gallon diesel spill at Suisun Marsh April 27, 2004.
Concern: Toxicity depending on exposure and dosage
Diesel fate: dispersion, evaporation, and biodegradation.
Photo credit: Kurt Rogers, San Francisco Chronicle
Examine PAH in sediments to determine:
• Spatial distributions
• Temporal trends
• Sources
Objective
Figure 1. Map of sediment sampling stations (1993-2001)
Methods: Spatial Distributions
• 25 PAH were summed (PAH) for each station
• PAH concentrations were normalized to TOC
content (significant relationship)
• Stations were grouped into 5 segments: Delta, North
Estuary, Central Bay, South Bay, and Extreme South
Bay
• Comparisons between segments, seasons, and
stations were conducted using the non-parametric
Kruskal-Wallis test
Results: Spatial Distributions
• Central Bay and South Bay PAH were significantly
higher than North Estuary, Extreme South Bay, and
Delta
• South and Central Bays were not significantly different
• Delta was significantly lower than all other segments
230
217
96 87
31
0
50
100
150
200
250
CB SB NE ESB Delta
Estuary Segment
Mean
Total
PAH
(mg/kg
TOC)
Figure 2. Mean PAH distributions by segment
Methods: Temporal Trends
• PAH concentrations were first normalized to TOC
and % fines content by multiple linear regression
analysis
• Trends for PAH were examined for each station by
linear regression analysis using the ln(rescaled
residual) as the dependent variable and sampling
date as independent variable
• A significant positive slope (p<0.05) indicated an
increase, a significant negative slope a decrease, and
a lack of significance no detectable trend in PAH at a
station over time
Results: Temporal Trends (1993-2001)
Station Analysis
• A statistically significant (p<0.05) decreasing trend
in PAH was found only at San Pablo Bay (1 of 26
stations)
• No trends were detected at any other stations,
which suggests that PAH levels remained constant
over the 9 year period
Seasonal Analysis
• Sacramento River and Oyster Point showed
significantly higher PAH in the wet season than the
dry season. No significant seasonal differences
were found at other stations
Methods: Sources
• PAH isomer pair ratios were used as diagnostic
indicators to identify possible sources. Isomers
have similar partitioning behavior and solubility.
Anthracene / Anthracene + Phenanthrene
Benz[a]anthracene / Benz[a]anthracene + Chrysene
Fluoranthene / Fluoranthene + Pyrene
Indeno[1,2,3-c,d]pyrene / Indeno[1,2,3-c,d]pyrene +
Benzo[g,h,i]perylene
Table 1. PAH isomer pair ratios of specific sources
Source An/178 BaA/228 Fl/Fl+Py IP/IP+BghiP
Petroleum (unburned) <0.10 <0.20 <0.40 <0.20
Petroleum combustion 0.40-0.50 0.20-0.50
Petroleum and combustion (mixed) 0.20-0.35
Combustion >0.10 >0.35
Biomass and coal combustion >0.50 >0.50
PAH Isomer Pair Ratio
• Bar plots of PAH isomer pair ratios were generated
to show estimated frequency (%) of PAH from the
various sources in each segment
• PAH isomer pair ratios determined from estuary
were compared to PAH isomer pair ratios from
known environmental, petroleum, and single-source
combustion sources compiled from the scientific
literature by Yunker et al. (2002)
Methods (cont’d): Sources
An/178 (3 Rings)
2 1
100 98 99 100 100
0%
50%
100%
Delta NE CB SB ESB
Petroleum Combustion
BaA/228 (4 Rings)
24 5 4 1 9
76 95 96 99 91
0%
50%
100%
Delta NE CB SB ESB
Mixed Combustion
Figure 3. Bar plots showing frequency (%) of PAH
from various sources in each segment
Estuary Segment
Frequency
(%)
IP/IP+BghiP (6 Rings)
1
89 90 83 82 63
11 9 17 18 37
0%
50%
100%
Delta NE CB SB ESB
Petroleum Petroleum Combustion Biomass and Coal Combustion
Fl/Fl+Py (4 Rings)
10 12 4
81 78 92 91 91
10 10 8 5 9
0%
50%
100%
Delta NE CB SB ESB
Petroleum Petroleum Combustion Biomass and Coal Combustion
Figure 3 (cont’d). Bar plots showing frequency (%)
of PAH from various sources in each segment
Estuary Segment
Frequency
(%)
Summary and Conclusions
Mean PAH was significantly higher in the Central and
South Bays compared to the North Estuary, Extreme
South Bay and Delta. Delta was significantly lower
than all others
• Distribution could reflect the large amount of
urbanized area that surrounds Central and South
Bays and the less urbanized area in the Delta
A significant decreasing trend in PAH levels was
found at San Pablo Bay
• PAH decreasing trend is consistent with previous
observations that San Pablo Bay is eroding due to
diminished sediment supply and as currents and
waves transport sediment from the bay (Jaffe et al.,
1998, USGS)
No trends were found at any other stations
• Estuary PAH levels remained constant, which is
consistent with other national studies that reported
no increasing or decreasing trends for PAH
Summary and Conclusions (cont’d)
Sacramento River and Oyster Point showed
significantly higher PAH in the wet season than the
dry season. No significant seasonal differences at
other stations
• Location near freshwater discharges and estuary
margins is an important determinant of PAH
sediment concentration
Summary and Conclusions (cont’d)
PAH sources were identified by PAH isomer pair ratio
analyses using values compiled by Yunker et al.
(2002)
Petroleum and Fossil Fuel Combustion
• gasoline, diesel, crude oil, and coal
(e.g., coal from historical use)
Biomass Burning
• wood, wood soot, and grasses
Unburned Petroleum
• shale oil, lube oil, and creosote
(e.g., shale oil from refined Monterey oil)
Summary and Conclusions (cont’d)
This study was funded by the RMP as a contribution to the 9-Year
Synthesis
Laboratory Analyses, Field Work and Data Management
Dr. Robert Risebrough (Bodega Bay Institute)
Dr. Jose Sericano (GERG, Texas A&M)
Dr. Francois Rodigari (EBMUD & BACWA)
Genine Scelfo (UCSC)
Capt. Gordon Smith (RV David Johnston)
Applied Marine Sciences
Sarah Lowe (SFEI)
Cristina Grosso (SFEI)
Scientific Peer-Review
SFEI Staff
Three “Unknown” Reviewers
Acknowledgements
05_Oros_RMP_PAH_Presentation_0.ppt

More Related Content

Similar to 05_Oros_RMP_PAH_Presentation_0.ppt

Stormwater pond ppt (1)
Stormwater pond ppt (1)Stormwater pond ppt (1)
Stormwater pond ppt (1)
jojotaguinod
 
Lima-2012-Distribution-and-sources-of-aliphat- exemplo- sergipe-brasil (2).pdf
Lima-2012-Distribution-and-sources-of-aliphat- exemplo- sergipe-brasil (2).pdfLima-2012-Distribution-and-sources-of-aliphat- exemplo- sergipe-brasil (2).pdf
Lima-2012-Distribution-and-sources-of-aliphat- exemplo- sergipe-brasil (2).pdf
GabrielSilva548620
 
Poster_Housela_Updated_10_26
Poster_Housela_Updated_10_26Poster_Housela_Updated_10_26
Poster_Housela_Updated_10_26
Lindsay House
 
Poster watershed FINAL
Poster watershed FINALPoster watershed FINAL
Poster watershed FINAL
Britney Wells
 
An investigation of acid rock drainage (ard) occurrence
An investigation of acid rock drainage (ard) occurrenceAn investigation of acid rock drainage (ard) occurrence
An investigation of acid rock drainage (ard) occurrence
johnnyanibal2489
 
Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Road Runoff Water from...
Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Road Runoff Water from...Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Road Runoff Water from...
Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Road Runoff Water from...
Dr. Amarjeet Singh
 

Similar to 05_Oros_RMP_PAH_Presentation_0.ppt (20)

Stormwater pond ppt (1)
Stormwater pond ppt (1)Stormwater pond ppt (1)
Stormwater pond ppt (1)
 
Silent Spring Study on Drinking Water
Silent Spring Study on Drinking WaterSilent Spring Study on Drinking Water
Silent Spring Study on Drinking Water
 
Lima-2012-Distribution-and-sources-of-aliphat- exemplo- sergipe-brasil (2).pdf
Lima-2012-Distribution-and-sources-of-aliphat- exemplo- sergipe-brasil (2).pdfLima-2012-Distribution-and-sources-of-aliphat- exemplo- sergipe-brasil (2).pdf
Lima-2012-Distribution-and-sources-of-aliphat- exemplo- sergipe-brasil (2).pdf
 
Poster_Housela_Updated_10_26
Poster_Housela_Updated_10_26Poster_Housela_Updated_10_26
Poster_Housela_Updated_10_26
 
Gopal K - UEI Day 1 - Kochi Jan18
Gopal K - UEI Day 1 - Kochi Jan18Gopal K - UEI Day 1 - Kochi Jan18
Gopal K - UEI Day 1 - Kochi Jan18
 
Tip & Glow Radioactive Waste Amendment in the State Budget Bill Webinar
Tip & Glow Radioactive Waste Amendment in the State Budget Bill WebinarTip & Glow Radioactive Waste Amendment in the State Budget Bill Webinar
Tip & Glow Radioactive Waste Amendment in the State Budget Bill Webinar
 
Irms (introduction)
Irms (introduction)Irms (introduction)
Irms (introduction)
 
Water-Atmosphere Greenhouse Gas Exchange (CO2, CH4 and N2O) in Two of the Wor...
Water-Atmosphere Greenhouse Gas Exchange (CO2, CH4 and N2O) in Two of the Wor...Water-Atmosphere Greenhouse Gas Exchange (CO2, CH4 and N2O) in Two of the Wor...
Water-Atmosphere Greenhouse Gas Exchange (CO2, CH4 and N2O) in Two of the Wor...
 
Poster watershed FINAL
Poster watershed FINALPoster watershed FINAL
Poster watershed FINAL
 
Lab Report 1
Lab Report 1Lab Report 1
Lab Report 1
 
Water resources and hydrochemistry of the Alluvial and Sparta aquifers of the...
Water resources and hydrochemistry of the Alluvial and Sparta aquifers of the...Water resources and hydrochemistry of the Alluvial and Sparta aquifers of the...
Water resources and hydrochemistry of the Alluvial and Sparta aquifers of the...
 
An investigation of acid rock drainage (ard) occurrence
An investigation of acid rock drainage (ard) occurrenceAn investigation of acid rock drainage (ard) occurrence
An investigation of acid rock drainage (ard) occurrence
 
DSD-INT 2014 - Symposium 'Water Quality and Ecological modelling' - Large Sca...
DSD-INT 2014 - Symposium 'Water Quality and Ecological modelling' - Large Sca...DSD-INT 2014 - Symposium 'Water Quality and Ecological modelling' - Large Sca...
DSD-INT 2014 - Symposium 'Water Quality and Ecological modelling' - Large Sca...
 
Orion Park Housing Area VOC Plume Assessment
Orion Park Housing Area VOC Plume AssessmentOrion Park Housing Area VOC Plume Assessment
Orion Park Housing Area VOC Plume Assessment
 
USGS Study of Radon in Marcellus Shale Gas
USGS Study of Radon in Marcellus Shale GasUSGS Study of Radon in Marcellus Shale Gas
USGS Study of Radon in Marcellus Shale Gas
 
Heavy Metal Contamination.ppt
Heavy Metal Contamination.pptHeavy Metal Contamination.ppt
Heavy Metal Contamination.ppt
 
Brannon_Poster
Brannon_PosterBrannon_Poster
Brannon_Poster
 
Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Road Runoff Water from...
Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Road Runoff Water from...Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Road Runoff Water from...
Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) in Road Runoff Water from...
 
Ocean Acidification: Cause, Impact and mitigation
Ocean Acidification: Cause, Impact and mitigationOcean Acidification: Cause, Impact and mitigation
Ocean Acidification: Cause, Impact and mitigation
 
Viney Aneja - CAFOs
Viney Aneja - CAFOsViney Aneja - CAFOs
Viney Aneja - CAFOs
 

Recently uploaded

Ahmedabad Escort Service Ahmedabad Call Girl 0000000000
Ahmedabad Escort Service Ahmedabad Call Girl 0000000000Ahmedabad Escort Service Ahmedabad Call Girl 0000000000
Ahmedabad Escort Service Ahmedabad Call Girl 0000000000
mountabuangels4u
 
🔥HOT🔥📲9602870969🔥Prostitute Service in Udaipur Call Girls in City Palace Lake...
🔥HOT🔥📲9602870969🔥Prostitute Service in Udaipur Call Girls in City Palace Lake...🔥HOT🔥📲9602870969🔥Prostitute Service in Udaipur Call Girls in City Palace Lake...
🔥HOT🔥📲9602870969🔥Prostitute Service in Udaipur Call Girls in City Palace Lake...
Apsara Of India
 
sample sample sample sample sample sample
sample sample sample sample sample samplesample sample sample sample sample sample
sample sample sample sample sample sample
Casey Keith
 
IATA GEOGRAPHY AREAS in the world, HM111
IATA GEOGRAPHY AREAS in the world, HM111IATA GEOGRAPHY AREAS in the world, HM111
IATA GEOGRAPHY AREAS in the world, HM111
2022472524
 

Recently uploaded (20)

Alipore Call Girls - 📞 8617697112 🔝 Top Class Call Girls Service Available
Alipore Call Girls - 📞 8617697112 🔝 Top Class Call Girls Service AvailableAlipore Call Girls - 📞 8617697112 🔝 Top Class Call Girls Service Available
Alipore Call Girls - 📞 8617697112 🔝 Top Class Call Girls Service Available
 
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call GirlsGenuine 8250077686 Hot and Beautiful 💕 Diu Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call Girls
 
❤Personal Contact Number Mcleodganj Call Girls 8617697112💦✅.
❤Personal Contact Number Mcleodganj Call Girls 8617697112💦✅.❤Personal Contact Number Mcleodganj Call Girls 8617697112💦✅.
❤Personal Contact Number Mcleodganj Call Girls 8617697112💦✅.
 
Ahmedabad Escort Service Ahmedabad Call Girl 0000000000
Ahmedabad Escort Service Ahmedabad Call Girl 0000000000Ahmedabad Escort Service Ahmedabad Call Girl 0000000000
Ahmedabad Escort Service Ahmedabad Call Girl 0000000000
 
🔥HOT🔥📲9602870969🔥Prostitute Service in Udaipur Call Girls in City Palace Lake...
🔥HOT🔥📲9602870969🔥Prostitute Service in Udaipur Call Girls in City Palace Lake...🔥HOT🔥📲9602870969🔥Prostitute Service in Udaipur Call Girls in City Palace Lake...
🔥HOT🔥📲9602870969🔥Prostitute Service in Udaipur Call Girls in City Palace Lake...
 
Ooty call girls 📞 8617697112 At Low Cost Cash Payment Booking
Ooty call girls 📞 8617697112 At Low Cost Cash Payment BookingOoty call girls 📞 8617697112 At Low Cost Cash Payment Booking
Ooty call girls 📞 8617697112 At Low Cost Cash Payment Booking
 
Siliguri Call Girls 8250077686 Service Offer VIP Hot Model
Siliguri Call Girls 8250077686 Service Offer VIP Hot ModelSiliguri Call Girls 8250077686 Service Offer VIP Hot Model
Siliguri Call Girls 8250077686 Service Offer VIP Hot Model
 
Mathura Call Girls 8250077686 Service Offer VIP Hot Model
Mathura Call Girls 8250077686 Service Offer VIP Hot ModelMathura Call Girls 8250077686 Service Offer VIP Hot Model
Mathura Call Girls 8250077686 Service Offer VIP Hot Model
 
Andheri Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Andheri Call Girls 🥰 8617370543 Service Offer VIP Hot ModelAndheri Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Andheri Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Genuine 8250077686 Hot and Beautiful 💕 Hosur Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Hosur Escorts call GirlsGenuine 8250077686 Hot and Beautiful 💕 Hosur Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Hosur Escorts call Girls
 
WhatsApp Chat: 📞 8617697112 Independent Call Girls in Darjeeling
WhatsApp Chat: 📞 8617697112 Independent Call Girls in DarjeelingWhatsApp Chat: 📞 8617697112 Independent Call Girls in Darjeeling
WhatsApp Chat: 📞 8617697112 Independent Call Girls in Darjeeling
 
Kanpur Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
Kanpur Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort ServiceKanpur Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
Kanpur Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
 
Discover Mathura And Vrindavan A Spritual Journey.pdf
Discover Mathura And Vrindavan A Spritual Journey.pdfDiscover Mathura And Vrindavan A Spritual Journey.pdf
Discover Mathura And Vrindavan A Spritual Journey.pdf
 
Sun World Bana Hills, Vienam Part 2 (越南 巴拿山太陽世界 下集).ppsx
Sun World Bana Hills, Vienam Part 2  (越南 巴拿山太陽世界 下集).ppsxSun World Bana Hills, Vienam Part 2  (越南 巴拿山太陽世界 下集).ppsx
Sun World Bana Hills, Vienam Part 2 (越南 巴拿山太陽世界 下集).ppsx
 
Hire 💕 8617697112 Chamba Call Girls Service Call Girls Agency
Hire 💕 8617697112 Chamba Call Girls Service Call Girls AgencyHire 💕 8617697112 Chamba Call Girls Service Call Girls Agency
Hire 💕 8617697112 Chamba Call Girls Service Call Girls Agency
 
sample sample sample sample sample sample
sample sample sample sample sample samplesample sample sample sample sample sample
sample sample sample sample sample sample
 
IATA GEOGRAPHY AREAS in the world, HM111
IATA GEOGRAPHY AREAS in the world, HM111IATA GEOGRAPHY AREAS in the world, HM111
IATA GEOGRAPHY AREAS in the world, HM111
 
Genuine 8250077686 Hot and Beautiful 💕 Visakhapatnam Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Visakhapatnam Escorts call GirlsGenuine 8250077686 Hot and Beautiful 💕 Visakhapatnam Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Visakhapatnam Escorts call Girls
 
❤Personal Contact Number Varanasi Call Girls 8617697112💦✅.
❤Personal Contact Number Varanasi Call Girls 8617697112💦✅.❤Personal Contact Number Varanasi Call Girls 8617697112💦✅.
❤Personal Contact Number Varanasi Call Girls 8617697112💦✅.
 
Hire 8617697112 Call Girls Udhampur For an Amazing Night
Hire 8617697112 Call Girls Udhampur For an Amazing NightHire 8617697112 Call Girls Udhampur For an Amazing Night
Hire 8617697112 Call Girls Udhampur For an Amazing Night
 

05_Oros_RMP_PAH_Presentation_0.ppt

  • 1. Polycyclic Aromatic Hydrocarbons in the San Francisco Estuary Distributions, Trends, and Sources in Sediments (1993-2001) Daniel R. Oros and John R.M. Ross San Francisco Estuary Institute 7770 Pardee Lane, Oakland, CA 94621
  • 2. 9-Year Synthesis 1993-2001: PAH Series Oros and Ross. PAH in SF Estuary sediments. Marine Chemistry 86:169-184, 2004. Ross and Oros. PAH in the in SF Estuary water column. Submitted to Chemosphere Oros and Ross. PAH in SF Estuary bivalves. Submitted to Marine Environmental Research
  • 3. Why are PAH of concern? • Genotoxic • Mutagenic • Carcinogenic • Ubiquitous • Constant input (limited or no control of non-point sources) • Regional Board’s Section 303(d) “Watch” List
  • 4. How do PAH enter the estuary? Trains Ferries Vehicular Traffic Industrial Emissions Fishing and Commercial Vessels Combustion of Refined Petroleum Products
  • 5. Natural and Intentional Burning of Biomass Fuels Fireplaces Natural Fires Campfires
  • 6. Uncontrolled and Accidental Input of Unburned Petroleum and its Refined Products Asphalt and Lube Oil Creosote Treated Pier Pilings Spills (e.g., crude oil)
  • 7. 60,000 gallon diesel spill at Suisun Marsh April 27, 2004. Concern: Toxicity depending on exposure and dosage Diesel fate: dispersion, evaporation, and biodegradation. Photo credit: Kurt Rogers, San Francisco Chronicle
  • 8. Examine PAH in sediments to determine: • Spatial distributions • Temporal trends • Sources Objective
  • 9. Figure 1. Map of sediment sampling stations (1993-2001)
  • 10. Methods: Spatial Distributions • 25 PAH were summed (PAH) for each station • PAH concentrations were normalized to TOC content (significant relationship) • Stations were grouped into 5 segments: Delta, North Estuary, Central Bay, South Bay, and Extreme South Bay • Comparisons between segments, seasons, and stations were conducted using the non-parametric Kruskal-Wallis test
  • 11. Results: Spatial Distributions • Central Bay and South Bay PAH were significantly higher than North Estuary, Extreme South Bay, and Delta • South and Central Bays were not significantly different • Delta was significantly lower than all other segments 230 217 96 87 31 0 50 100 150 200 250 CB SB NE ESB Delta Estuary Segment Mean Total PAH (mg/kg TOC) Figure 2. Mean PAH distributions by segment
  • 12. Methods: Temporal Trends • PAH concentrations were first normalized to TOC and % fines content by multiple linear regression analysis • Trends for PAH were examined for each station by linear regression analysis using the ln(rescaled residual) as the dependent variable and sampling date as independent variable • A significant positive slope (p<0.05) indicated an increase, a significant negative slope a decrease, and a lack of significance no detectable trend in PAH at a station over time
  • 13. Results: Temporal Trends (1993-2001) Station Analysis • A statistically significant (p<0.05) decreasing trend in PAH was found only at San Pablo Bay (1 of 26 stations) • No trends were detected at any other stations, which suggests that PAH levels remained constant over the 9 year period Seasonal Analysis • Sacramento River and Oyster Point showed significantly higher PAH in the wet season than the dry season. No significant seasonal differences were found at other stations
  • 14. Methods: Sources • PAH isomer pair ratios were used as diagnostic indicators to identify possible sources. Isomers have similar partitioning behavior and solubility. Anthracene / Anthracene + Phenanthrene Benz[a]anthracene / Benz[a]anthracene + Chrysene Fluoranthene / Fluoranthene + Pyrene Indeno[1,2,3-c,d]pyrene / Indeno[1,2,3-c,d]pyrene + Benzo[g,h,i]perylene
  • 15. Table 1. PAH isomer pair ratios of specific sources Source An/178 BaA/228 Fl/Fl+Py IP/IP+BghiP Petroleum (unburned) <0.10 <0.20 <0.40 <0.20 Petroleum combustion 0.40-0.50 0.20-0.50 Petroleum and combustion (mixed) 0.20-0.35 Combustion >0.10 >0.35 Biomass and coal combustion >0.50 >0.50 PAH Isomer Pair Ratio
  • 16. • Bar plots of PAH isomer pair ratios were generated to show estimated frequency (%) of PAH from the various sources in each segment • PAH isomer pair ratios determined from estuary were compared to PAH isomer pair ratios from known environmental, petroleum, and single-source combustion sources compiled from the scientific literature by Yunker et al. (2002) Methods (cont’d): Sources
  • 17. An/178 (3 Rings) 2 1 100 98 99 100 100 0% 50% 100% Delta NE CB SB ESB Petroleum Combustion BaA/228 (4 Rings) 24 5 4 1 9 76 95 96 99 91 0% 50% 100% Delta NE CB SB ESB Mixed Combustion Figure 3. Bar plots showing frequency (%) of PAH from various sources in each segment Estuary Segment Frequency (%)
  • 18. IP/IP+BghiP (6 Rings) 1 89 90 83 82 63 11 9 17 18 37 0% 50% 100% Delta NE CB SB ESB Petroleum Petroleum Combustion Biomass and Coal Combustion Fl/Fl+Py (4 Rings) 10 12 4 81 78 92 91 91 10 10 8 5 9 0% 50% 100% Delta NE CB SB ESB Petroleum Petroleum Combustion Biomass and Coal Combustion Figure 3 (cont’d). Bar plots showing frequency (%) of PAH from various sources in each segment Estuary Segment Frequency (%)
  • 19. Summary and Conclusions Mean PAH was significantly higher in the Central and South Bays compared to the North Estuary, Extreme South Bay and Delta. Delta was significantly lower than all others • Distribution could reflect the large amount of urbanized area that surrounds Central and South Bays and the less urbanized area in the Delta
  • 20. A significant decreasing trend in PAH levels was found at San Pablo Bay • PAH decreasing trend is consistent with previous observations that San Pablo Bay is eroding due to diminished sediment supply and as currents and waves transport sediment from the bay (Jaffe et al., 1998, USGS) No trends were found at any other stations • Estuary PAH levels remained constant, which is consistent with other national studies that reported no increasing or decreasing trends for PAH Summary and Conclusions (cont’d)
  • 21. Sacramento River and Oyster Point showed significantly higher PAH in the wet season than the dry season. No significant seasonal differences at other stations • Location near freshwater discharges and estuary margins is an important determinant of PAH sediment concentration Summary and Conclusions (cont’d)
  • 22. PAH sources were identified by PAH isomer pair ratio analyses using values compiled by Yunker et al. (2002) Petroleum and Fossil Fuel Combustion • gasoline, diesel, crude oil, and coal (e.g., coal from historical use) Biomass Burning • wood, wood soot, and grasses Unburned Petroleum • shale oil, lube oil, and creosote (e.g., shale oil from refined Monterey oil) Summary and Conclusions (cont’d)
  • 23. This study was funded by the RMP as a contribution to the 9-Year Synthesis Laboratory Analyses, Field Work and Data Management Dr. Robert Risebrough (Bodega Bay Institute) Dr. Jose Sericano (GERG, Texas A&M) Dr. Francois Rodigari (EBMUD & BACWA) Genine Scelfo (UCSC) Capt. Gordon Smith (RV David Johnston) Applied Marine Sciences Sarah Lowe (SFEI) Cristina Grosso (SFEI) Scientific Peer-Review SFEI Staff Three “Unknown” Reviewers Acknowledgements