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Trends in Chesapeake Hypoxia/Anoxia Modeling Subcommittee Quarterly Review Feb. 2, 2010. Rebecca R. Murphy and William P. Ball Johns Hopkins University, Department of Geography and Environmental Engineering. Outline. Chesapeake Bay Environmental Observatory (CBEO) Hypoxic volume trends - PowerPoint PPT Presentation
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Trends in Chesapeake Hypoxia/Anoxia
Modeling Subcommittee Quarterly ReviewFeb. 2, 2010
Rebecca R. Murphy and William P. BallJohns Hopkins University,
Department of Geography and Environmental Engineering
Outline Chesapeake Bay Environmental
Observatory (CBEO) Hypoxic volume trends Stratification trends Statistical models Possibility that large-scale climatic forces
are affecting hypoxia/stratification Brief comparison to model output
CBEO and Hypoxia AnalysisData Sets
Chesapeake Bay Program dataUSGS River Monitoring
Historic CBI dataModel outputs
etc…
New Tools/MethodsCBEO website: http://cbeo.communitymodeling.org
investigate
Generated from data in Hagy et al. (2004) in Estuaries
DO Analysis Approach: Analyze hypoxic volume with as much temporal and spatial resolution as possible
Interpolate DO and calculate hypoxic volume for each data collection cruise
Examine time series Look at where/when changes are occurring in
DO patterns
Interpolated DO: June-July 2 years
Data Sources: USGS, CBP
rN,vol = 0.31 (p=0.07)
rN,vol = - 0.44 (p=0.006)
rN,vol = 0.50 (p=0.001)
rN,vol = 0.88 (p=4e-17)
Example bottom DO at CB4.3C
Example bottom DO at CB4.3C
Early July DO:More hypoxic volume than anticipated from
nutrients alone
Late July DO:Hypoxic volume
follows trend expected from nutrient loads
Nut
rient
s
June DO: Oxygen depletion is happening earlier in summer in recent
years
Stratification:Plays a role in oxygen depletion
Approach: Calculate pycnocline
strength Examine time series Identify where/when
changes are occurring Look for significant
relationships between stratification and hypoxic volume trends
Density with Depth at CB4.4 on 6/13/2005
0
5
10
15
20
25
300 5 10 15Density (sigma units: +1000 kg/m3)
dept
h (m
)
Stratification Strength Calculation
Pycnocline
Data Source: CBP
Brunt Vaisala Frequency with Depth at CB4.4 on 6/13/2005
0
5
10
15
20
25
300 0.01 0.02
BVF (s-2)
dept
h (m
)
Stratification Strength Calculation
zgN
2
1. Calculate Brunt
Väisälä Frequency
2. Interpolate maximum
Brunt Väisälä Frequency
(N2)
3. Average max N2 in region of
interest
Average = 0.015
Density with Depth at CB4.4 on 6/13/2005
0
5
10
15
20
25
300 5 10 15Density (sigma units: +1000 kg/m3)
dept
h (m
)
Stratification Trends
Analysis: Stratification to Early July Hypoxic Volume (‘85-’09)
HypoxicVolEarlyJuly = 6 + 0.8 (StratificationJune) + 2 (StratificationEarlyJuly) +
R2 = 0.74 (p=3e-07)
JuneStratification:
• Increasing over time
• Causes less vertical mixing of
oxygen
July Stratification: • Not increasing
over time• Very variable
Nut
rient
sEarly July DO:More hypoxic volume than anticipated from
nutrients alone
Late July DO:Hypoxic volume
follows trend expected from nutrient loads
June DO: Oxygen depletion is happening earlier in summer in recent
years
Changing ClimaticForces (NAO,
wind, GSI, sea level
rise?)
ClimaticForces Wind
speeds much more
variable year-to-
year in July
Possible Climatic Factors North Atlantic
OscillationIndex has been
higher for last 25 years – influences mid-Atlantic climate in multiple ways
Wind direction shifts: (related to NAO)Winds from south
tend to weaken stratification
NAO
Graph from Jeremy Testa (UMCES)
Wind shift and possible relation to hypoxic volume identified by Malcolm Scully (Old Dominion), data=NOAA
Possible Climatic Factors: Salinity Changes
Gulf Stream Position (related to NAO)Index has been higher
for last 25 years – means saltier mid-Atlantic waters (Lee and Lwiza 2008)
Sea Level RiseEvidence of increased
Bay salinity (Hilton et al. 2008)
NOAA data
Plymouth Marine Laboratory data
Continuing Work
Investigation of the causes of the increase in early summer stratification and hypoxia
Expanded interpolation efforts into tributaries to examine hypoxia vs. stratification trends
Comparison to Model Output
57k output from Mark Noel March ‘09
Acknowledgements
Chesapeake Bay Environmental Observatory (CBEO) team, including:Dr. Michael Kemp and Jeremy Testa (UMCES)Drs. Dominic Di Toro and Damian Brady (UDel)Dr. Randal Burns and Eric Perlman (JHU CS)
Data sources: Chesapeake Bay Institute, Chesapeake Bay Program, USGS, NOAA
NSF funding of the CBEO project
References Guo, X. and Valle-Levinson, A. (2008). “Wind effects on the lateral structure of density-driven
circulation in Chesapeake Bay.” Continental Shelf Research, 28, 2450-2471. (Univ of Florida) Hagy, J. D., Boynton, W.R., Wood, C.W., Wood, K.V. (2004). "Hypoxia in the Chesapeake Bay,
1950-2001: long-term changes in relation to nutrient loading and river flows." Estuaries, 27(4), 634-658.
Hilton, T.W., Najjar, R.G., Zhong, L., and M. Li. (2008). “Is there a signal of sea-level rise in Chesapeake Bay salinity?” Journal of Geophysical Research, 113, C09002. (Penn State, UMCES)
Lee, Y.J. and K.M.M. Lwiza. 2008. Factors driving bottom salinity variability in the Chesapeake Bay. Continental Shelf Research 28:1352-1362. (Stony Brook)
Scully, M.E. (2009). “The importance of decadal-scale climate variability to wind-driven modulation of hypoxia in Chesapeake Bay.” Nature Precedings, Posted Jun 2, 2009. (Old Dominion)
Data Sources: CBP: http://www.chesapeakebay.net/data_waterquality.aspx CBI and other historic data:
http://archive.chesapeakebay.net/data/historicaldb/historicalmain.htm USGS: http://va.water.usgs.gov/chesbay/RIMP/ and http://waterdata.usgs.gov/nwis/monthly/ NCDC (wind data, Patuxent Naval Air Station:
http://cdo.ncdc.noaa.gov/pls/plclimprod/poemain.accessrouter?datasetabbv=DS3505 NOAA (sea level): http://tidesandcurrents.noaa.gov/sltrends/sltrends.shtml GSI: http://web.pml.ac.uk/gulfstream/default.htm
Jan-May Susquehanna Nitrogen Load
0
20
40
60
1949 1954 1959 1964 1969 1974 1979 1984 1989 1994 1999 2004
N lo
ad (G
g)Spring N loadDecadal average4 to 10 year average
Average July Hypoxic Volume (DO<1 mg/L)
0
2
4
6
8
10
1949 1954 1959 1964 1969 1974 1979 1984 1989 1994 1999 2004
Vol
ume
(km
3 )
Data Source: USGS
Theory: Stratification and Mixing
BVF Richardson Number, Ri
(Ri: balance between buoyant and shear forces)2
zuz
g
Ri
ai
zz bR
EE
]1[0,
BVF
vertical velocitygradient
Ez,0 = Eddy diffusivity with no stratificationa,b = coefficients
Ri Vertical Diffusivity, Ez
(Munk and Anderson 1948)
Flow