Upload
cory-byrd
View
214
Download
1
Tags:
Embed Size (px)
Citation preview
An Investigation of Atmospheric Mercury Deposition
to Bay Area Storm Runoff: a Pilot Study
Sarah Rothenberg, Lester McKee, Don Yee, Alicia Gilbreath, Michelle Lent
February 20, 2008
1. Introduction to atmospheric mercury
2. Methods
3. ResultsA. Dry deposition ratesB. Wet deposition rates
4. Summary
Overview of presentation
Atmospheric Mercury (Hg)
1. Sources (Mason et al., 1994)
Anthropogenic (80%)
Natural (20%)
2. Speciation and Residence Time (Lindberg et al., 2007)
Gaseous Elemental Hg (Hgo): ~ 1 year
Reactive Gaseous Hg (RGM): minutes-weeks
Particulate Hg (Hgp): minutes-weeks
Hintelmann et al. 2002
METAALICUS STUDY: Newly deposited Hg through atmospheric deposition is more rapidly converted to methylmercury (by a factor of 3.8), than “native” Hg
Hammerschmidt and Fitzgerald 2006
Examples of emission factors:
• Crematoria: 1.5 g Hg (body)-1
• Cement: 0.065 g Hg (ton clinker)-1
• Refineries 210 g Hg (1012 Btu)-1
Source: Locating and Estimating Air Emissions from Sources of Mercury and Mercury Compounds, EPA-454/R-97-012, 1997
How are Hg air emissions estimated?
In California, estimated Hg emissions are highest in the Bay Area Air District.
Data from ARB Facility Searchwww.arb.ca.gov/app/emsinv/facinfo/facinfo.php
2005 California Estimated Hg emissions (per area)
4.1
14.9
6.6
1.9
3.62.5
0.0
4.0
8.0
12.0
16.0
20.0
SanJoaquin
Bay Area SouthCoast
Mojave Imperial SanDiego
Hg
em
isso
ns
(ug
/m2)
Data from ARB Facility Searchwww.arb.ca.gov/app/emsinv/facinfo/facinfo.php
2005 Estimated Hg Emissions by Source
Refineries58%
Cement35%
Crematoria5%
Other2%
In the Bay Area, 2005 estimated Hg emissions (233 Kg) are comprised of 5 refineries (58%), 1 cement plant (35%), 39 crematoria (5%), and 240 miscellaneous sources (2%).
Hanson’s Permanente Cement Manufacturing24001 Stevens Creek Blvd., Cupertino
Research Question: Are industrial air emissions important sources of Hg to the Bay Area watershed?
Methods1. Dry deposition rate:
Tekran® 2537A/1130/1135
Calculate flux (Laurier et al., 2003, Lyman et al., 2007)
Compare results between 3 sites
2. Wet deposition rate:
Mercury Deposition Network collectors
Calculate flux
Compare results from 3 sites
1 Next to Hanson’s (source)
1
Sampling Sites: Dry Deposition
3
2 Moffett Field NAS (control) 7 miles N from source
Calero Reservoir (control) 20 miles SE from source
3
2
1 Next to Hanson’s (source)
1
Sampling Sites: Dry Deposition
3
2 Moffett Field NAS (control) 7 miles N from source
Calero Reservoir (control) 20 miles SE from source
3
2
Moffett Field NAS 8/30/05-9/9/05
Calero Reservoir9/18/05-9/27/05
Hanson’s Cement11/26/07-12/12/07
DayH
go (
ng
m-3) Rain
Hg
o (
ng
m-3)
Day
Moffett Calero
Moffett Field NAS 8/30/05-9/9/05
Calero Reservoir9/18/05-9/27/05
Hanson’s Cement11/26/07-12/12/07
Hg p
, RG
M (
pg
m-3)
Moffett Calero
Day Day
Hg p
, RG
M (
pg
m-3) Rain
Hgo n(ng m-3)
Moffett Field NAS 1.7 1757Calero Reservoir 1.7 1757Hanson’s Cement 2.1 3019
Global background level 1.5-1.7 (Lindberg et al., 2007)
SF Estuary 1.5-4.2(Tsai and Hoenicke, 2001)
Average Hgo levels were ~20% higher at the source…….
Hgp RGM n(pg m-3) (pg m-3)
Moffett Field NAS 3.1 1.8 76Calero Reservoir 4.4 6.3 76Hanson’s Cement 20 18 111
……while average Hgp and RGM levels were 6-10 times higher at the source
Calero Reservoir9/18/05-9/27/05
Hanson’s Cement11/26/07-12/12/07
An
nua
l RG
M fl
ux
(g
m-2)
An
nua
l RG
M fl
ux
(g
m-2)
Day Day
Calero
Annual RGM Flux (g m-2 yr-1 )
Annual RGM flux n (g m-2 yr-1)
Calero Reservoir 2.2 (0-15) 76
Hanson’s Cement 6.4 (0.081-100) 79
Average RGM flux levels were 3 times higher at the source
Calero Reservoir9/18/05-9/27/05
Hanson’s Cement11/26/07-12/12/07
An
nua
l Hg p
flu
x (
g m
-2)
An
nua
l Hg
p fl
ux
(g
m-2)
Day Day
Calero
Annual Hgp Flux (g m-2 yr-1)
Annual Hgp flux n (g m-2 yr-1)
Calero Reservoir 0.53 (0.022-2.2) 76
Hanson’s Cement 1.9 (0-29) 91
Average Hgp flux levels were 4 times higher at the source
• Need longer deployments to accurately quantify annual flux
• Determine catchment size, to quantify mass deposited locally
• Calculate runoff efficiency, to determine potential mass entering storm water
Data needs:
1 Next to Hanson’s (source)
1
Sampling Sites: Wet Deposition
2
4 Moffett Field NAS (control) 7 miles N from source
De Anza College (control)2.2 miles E from source
2
4
3
3 Stevens Creek Park (control)1.5 miles S from source
Moffett Field NAS 1/11/2000-12/27/2006
Hanson’s Cement12/6/2007-1/24/2008
Hg T
(n
g L-1
)29 6 13 20 27 3 4 10 17 24Nov Dec Dec Dec Dec Jan Jan Jan Jan Jan
Hg T
(n
g L-1
)
Moffett Field NAS 1/11/2000-12/27/2006
Hanson’s Cement12/6/2007-1/24/2008
Hg
T (g
m-2)
29 6 13 20 27 3 4 10 17 24Nov Dec Dec Dec Dec Jan Jan Jan Jan Jan
Hg
T (g
m-2)
HgT levels n (ng L-1)
Moffett Field NAS 14 (1.7-250) 146
Hanson’s Cement 29 (7.8-61) 6
HgT flux n (g m-2)
Moffett Field NAS 0.13 (0.0025-1.0) 146
Hanson’s Cement 0.45 (0.032-0.91) 6
• Finish collecting precipitation this season
• Compare concurrently collected precipitation data between Hanson’s and 2 control sites
• Determine catchment size, to quantify mass deposited locally
• Calculate runoff efficiency, to determine potential mass entering storm water
Continued research
Many thanks to:
De Anza College, Environmental Studies Program, Julie Philips, Pat Cornely
Andy Lincoff, Peter Husby, and Greg Nagle from EPA, Region IX for providing Tekran support
Steve Lindberg, Mae Gustin, Eric Prestbo, and Mark Marvin-DiPasquale for their helpful advice
This study was funded through Proposition 13.
Brooks Rand, LLC for all laboratory analyses