Models, Muddles, & Management in Narragansett Bay,...
Transcript of Models, Muddles, & Management in Narragansett Bay,...
Models, Muddles, & Management
in Narragansett Bay, RIChris Deacutis
NBEP, URI Coastal Institute
May 18, 2011 http://www.nbep.org/http://www.nbep.org/
Narragansett Bay Watershed
Watershed Area = 4,421 km2
Bay Surface Area =
497 km 2
Watershed:Surface Area ~ 9:1
Vs. Casco Bay
Watershed 2,551 km2
Surf Area 518 km2
Ratio ~ 5:1
3 Major River Basins :
Taunton ; Blackstone ; Pawtuxet
Rivers
Annual Mean Mo. Flow =
104 m3/sec
61% of drainage basin in MA
N-S Pollution Gradient STP
Last
Dam
Lynn Carlson, Brown U.
GIS labN-S Pollution Gradients
August 20, 2003 – Western Greenwich Bay
T. Ardito, NBEP
July 6, 2006
Upper half of Bay - serious hypoxia stress
2003 Kill not
“perfect storm” situation
Aug 4, 2009
Aug 14, 2008
http://www.geo.brown.edu/georesearch/insomniacs/
Blackstone River WWTFs incl. Worcester, MA = 2nd
Lrgst srce N load after Direct Discharges to upper
Bay.
WasteWater Treatment Facilities = 68-73% of loadTot. Diss.Inorganic Nitrogen (DIN) load to Narragansett Bay
2
93
5
Agri
WWTF
Backgrnd
Narragansett Bay P Sources by %
(Roman et al. 2000)
NBC
Bucklin Pt
Worcester
UBWPAD
NBC Fields Pt
Cranston
Pryor et al .
200723
4
73
Atmos
Agri
WWTF
Narragansett Bay N Sources by %
(Roman et al. 2000)
Incl.stormwtr
Other options to calculate Other options to calculate
approximate target for N load ?approximate target for N load ?
URI Mar. Ecosystem Res Lab (MERL) URI Mar. Ecosystem Res Lab (MERL)
exp 1980’s added sewage as DIN at exp 1980’s added sewage as DIN at
various levels (Nixon, various levels (Nixon, OviattOviatt & others)& others)
Politicians Demand Action ! Politicians Demand Action !
Problem: Available hydrodynamic model available does NOT Problem: Available hydrodynamic model available does NOT
reproduce many aspects of Providencereproduce many aspects of Providence--SeekonkSeekonk--Upper Bay Upper Bay
area (most impacted zone) area (most impacted zone) Top of the Bay (major WWTF + River inputTop of the Bay (major WWTF + River input
Upper Bay area below #1 WWTFUpper Bay area below #1 WWTF
TN = 5 mg/L ~ 72% WWTF reduction to Prov.TN = 5 mg/L ~ 72% WWTF reduction to Prov.--Seekonk w/ MA UBWPAD (but Seekonk w/ MA UBWPAD (but
only 58% at design flow) ; ~ 58% w/o MA (28% at design)only 58% at design flow) ; ~ 58% w/o MA (28% at design)
~ 42% (53% w/Worc.MA) Total Load reduction to ~ 42% (53% w/Worc.MA) Total Load reduction to Prov.SeekProv.Seek. ‘95. ‘95--’96 loads (but ’96 loads (but
28% (42%w/MA) at design) 28% (42%w/MA) at design)
W/O treatment = 55% W/O treatment = 55% incrincr load at design flows to load at design flows to ProvProv--Seekonk River areaSeekonk River area
(= 39X MERL)(= 39X MERL)
~ 30% decrease in WWTF
load so far
2014
Projecting a decrease of 50% DIN from WWTF loads from new
permit limits = ~ 35 % decrease Tot DIN to Bay
(BUT > 35% decrease for Upper Bay)
Use of Models - Climate vs Weather • Weather – only short term (days)+ local (Boston vs
Prov.)
• Climate - Long-term (decades & more) affected by major drivers:
– Sunlight Received + Amt. reflected (ice-snow) + amt. heat absorbed / radiated back to space etc.
• Prediction Level Differs !
- Weather - Weather models only able to predict weather conditions max of ~ 1-2 wks due to chaos (nonlinear) behavior
– Climate - Global circulation models (GCM) – target is over wideregion - expect variability yr-to-yr and wider margin of prediction (e.g., ~ avg. annual temp. expect rise ~ +2F over20yrs across wide areas vs will be 60F tomorrow in Prov.)
Mgt Needs : TMDL ? (paper tigers?)
-Driven by WQ criteria standard
violations & “halting violations”
- CWA does not deal with
real world variability well
Model that accurately predicts hrly D.O.
criteria violations? - XXX
Models cannot absolutely replicate
real world - but are useful to give sense
of direction / trend & whether you are
“in the ballpark” you hope for
DO2
N P
N
Land-use
Atmosphericdeposition
N P
Productivity
Temp, Light,
Boundary Conditions
Chl, N, P, Salinity
Phytoplankton
Sediment
organics
.
.
Physics
Surface layer
- - - - - - - - -
Deep layer
- - - - - - - - -
Bottom
sediment
Flux tobottom
Photic zoneheterotrophy
Benthicheterotrophy Denitri-
fication
O2 coupled
stoichiometricallyBZI
ƒ(Chl10d)ƒ[Chl]
ƒ(OM,T) %
Processes of a simplified 2 layer model & basis for
mixing
flushing
Jamie Vaudrey, James Kremer
(UCONN), Mark Brush (VIMS), Dave
Ullman (URI) CHRP October 8, 2009
formulations: (excluding macroalgae...)
Brown, CTD Surveys
salinity
oxygen
Buoy Network
salinity
oxygen
chlorophyll
Nutrient Stations
DIN
DIP
Model uses N , P loads & exchange
between boxes from high res.
ROMS hydrodynamic model
Outputs for each box :
Mean daily Chl a &
Mean daily D.O.
6/1 6/8 6/15 6/22 6/29 7/6 7/13 7/20 7/27 8/3 8/10
Phyto
pla
nkto
n (
ug
Chl / L)
0
10
20
30
40
6/1 6/8 6/15 6/22 6/29 7/6 7/13 7/20 7/27 8/3 8/10
Nitro
ge
n (
mg/L
)
0.0
0.1
0.2
0.3
0.4
0.5
0.6
6/1 6/8 6/15 6/22 6/29 7/6 7/13 7/20 7/27 8/3 8/10
Oxyge
n (
mg/L
)
2
4
6
8
10
12
14
Box 3
Current
Conditions
e.g.
prediction:
N reduced
50%
Phytoplankton
Oxygen
Nitrogen
surface
bottom
surface
bottom
Values = daily avg.
How use daily avgs for Mgt TMDL Needs?
Test sites:
• Bullocks Reach
2003, 2005-07
SURFACE
BOTTOM
y = 0.8193x - 0.2138R² = 0.6508
0
2
4
6
8
10
12
14
0.00 5.00 10.00 15.00
MinO2surf, mg/l
TIMEsurf<2.9 mg/l
TIMEsurf<1.4 mg/l
y = 1.057x - 1.1834R² = 0.9093
0
5
10
15
20
25
30
0.00 2.00 4.00 6.00 8.00 10.00 12.00
MinO2bott, mg/l
TIMEbott<2.9 mg/l
TIMEbott<1.4 mg/l
Bottom Water instantaneous min. DO & time below DO thresholds appears predictable directly from daily mean DO
-Can plug in N load change- see predicted likely min
bottom DO
Mark Brush (VIMS)CHRP October 8, 2009
A suggestion for Casco Bay :
Concentrate on Gradients
-for DO / chl a issues
- look for hot spots using WQ
surveys
-Look into the role of local
hydrodynamics in terms of
geographic orientation &
dominant wind directions on
local FLUSHING
-- Will highlight zones of
greatest sensitivity to nutrient
loads
Kincaid coastal hydrodynamics
lab (URI-GSO): Identified water
retention zones coinciding with
low oxygen hotspots
Develop high resolution
hydrodynamics/ flushing for
the “hot zones to understand
major physical driving
factors- perhaps couple to
simplified ecol. models
High spatial-temporal
hydrodynamic resolution in 2 hotspots:
1) Providence River
2) Greenwich Bay
Success with multiple current meter methods
(tilt meter + ADCP)
Save the Bay
Results of DATA, ROMS Modeling, LAB Modeling point to
Bimodal Flushing of Urban Hotspots (not fully mixed Box Model Flushing)
Channel water flushes ~ 1 day
Shoal bottom water:
can take days to go through cycle,
a week to leave area – tide does not flush !
Edgewood
shoals
channel
Slow flush
Fast flush
Channel tracer flush
< 1 day
Shoal tracer > 5 days
Shoal bottom water floats can take > 6 days to exit the shoal
Cumulative track
No wind NNE-ward wind
Retention in Greenwich Bay: Wind matters at the local level !
Residual flows - distinctly different in the 2 cases. (C Kincaid lab) 10 days of simulation
No sea
breezeApplied sea
breeze
summer 2006 JUSTIN M. ROGERS, M.S. 2008 URI
Slow flushing by ~ 10 X
- commit to long term monitoring at key pts in system
– Need understand key drivers of local hydrodynamics &eco.
- Wind direction, speed & duration- correlated to flushing?
- climate - may affect timing of stratification / hypoxia
- changes in max temp ?- affect nr-shore sp. max temp
limits(e.g., lobster >20 C, metab.up ~50% betw. 20-21.5 C)
Use models to understand which drivers have grtst infl.
on the issue (hypoxia / stratification / flushing etc)
- use nonproprietary models if possible – more users to turn to
for advice & more capable of revisions w/o huge cost
My Suggestions: Use WQ surveys to look for repeated “hot spots” –
then go w/ higher res hydrodynamics to see gyres etc.
– deal w/ input to these areas
Suggestions from LIS special Symposium 5-5-2011 Port
Jefferson, Long Island , NY
Discussion &
Questions