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Water Quality Modeling used to Inform Operational Decisions for the
NYC Water Supply: A Ten Year Retrospective
Mark S. Zion, Donald C. Pierson,Elliot M. Schneiderman and Adao H. Matonse
New York City Department of Environmental Protection
NYC Watershed/Tifft Science and Technical SymposiumWest Point, New York
September 18-19, 2013
2
Introduction
• Over the last decade, DEP has developed and applied an extensive suite of water quality and water system models which are used to analyze turbidity transport in the Catskill System.
• Elevated turbidity can be an issue for the Catskill System of the NYC water supply during and after periods of high streamflow.
• Informed operations during event periods can help to mitigate the impacts of turbidity on the water supply
• This presentation describes the models and illustrates how the models have been applied to help inform operational decisions to maintain high quality water at supply intakes.
3
System Description
Kensico
Ashokan Reservoir Options
DIV
IDIN
G W
EIR
EAST BASIN
WESTBASIN
RELEASECHANNELCATSKILL
AQUEDUCT
GATEHOUSE
DIVIDINGWEIRGATE
4
Model Description
Kensico
CEQUAL-W2 Two Dimensional Reservoir Models
Ashokan
Esopus Creek
DividingWeir
CatskillAqueduct
ReleaseChannel
Spillway
Catskill Influent
Catskill Effluent
Delaware Effluent
Delaware Influent
• CEQUAL-W2 Models adapted to simulate turbidity transport by Upstate Freshwater Institute (UFI).
5
Catskill Influent
Catskill Effluent
Delaware Effluent
Delaware Influent
Model Description
Kensico
Turbidity Profile
CEQUAL-W2 Two Dimensional Reservoir Models
Example Longitudinal Profiles Temperature
6
E. Br. Delaware R.
Delaware R.
Lackawaxen R.
Mongaup R.
Neversink R.
Lehigh R.
Tohickon Cr.
Musconetong R.
Assunpink Cr.
Crosswicks Cr.
N. Br. Rancocas Cr..Schuylkill R.
White Clay Cr.
Red Clay Cr.
Tulpehocken Cr.
Jordan Cr.
Dyberry Cr.
W. Br. Lackawaxen R.
Perkiomen Cr.
Maiden Cr.
100
105
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350 355
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375 380
385390
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445 450
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495500
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510
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630635
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715
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730 735
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745
750
755
760
765
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775
780
900
910
991
992
994
995
996
997
999
180
195
620
D&R Canal
657
OASIS Model of
Water Supply System and
Delaware River Basin
New York City
J eromePk
Stiles v l
C allic oo
Oak landV
N ev rs R iv
W oodbrne
Montague
Por tJ erv
MongpR iv
H aw ley __
W ils onv l
Barry v il
Toc k s Is l
Ph ilade l
Sc huy lk l
D em_5BPA
R eading_
BlueMrs h
Potts tw n
Berne___
Landingv
Limer ic k
Grater fd
C hadds Fd
W ilmingt
D emd_8D E
MemBridg
N ew ark __
W ooddale
D emd_8PA
C hes ter_
D em_7BN J
D em_5APA
D em_7AN J
TrentInc
D emd_4N J
PPleas ntPipers v l
D emd_6PA
Glendon_
W alnutp t
Be ltz R iv
W hitehv n
Merr lTrn
MerrlR es
Belv ider
Lehigh R.
D &R -King
W BrLac k w
Prompton
H ones dal
661
706
621
702 703707
701
699
766
761
FEW alter
B eltz R esAquas hic
Palmer tn
Sc hnec k s
Allentw n
H ac k etts
Blooms by
N ockamix
As s unC rk
Ex tonv ilLanghorn
Pember tn
Torres d l
Pier II_N
Potts v ilC res s ona
Tamaqua_
D rehers v
Virg ins v
B lueMR es
C hes trC k
Jadwin__
D y berry _
767
768
769 771
671716
676
721711
726
736746
751756
998
Boy ds SplEBrBgSpl
Spill Nodes
C rD iv SplM_BraSpl
W _BraSplC roFlSp l
Titc s SplAmw lk Spl
C rR v rSplMus c tSpl
651
EBC rotJ n
W J W W _dem
Kn48_dem
Kens _Spl
W Bra_dem
Shaft_11
Shaft_10
C rotJ nc 1
C rAq_dem
KH _D elAq KH _C atAq
KnC t_demKnD l_dem
C rotJ nc 2
N C ro_R el
N C ro_Spl
R oW B_dem
N w C r_dem
Amaw _dem
Mus c _dem
MBra_dem
Shaft_9_
Mus c ootJW. Br. Delaware R.
Es opus C k
Wallenpaupack Cr.
MongpR es
D emd_1N Y
D emd_1N J
D emd_1PA
H aleEddy
D ow ns v il
H arv ard_
Fis hEddy
D elBnD iv
Beth lehm
D emd_3PA
R iegels v
D emd_2PA
D emd_2N J
Trenton_
D emd_4PA
TT_U pD el
TT_LoD el
Below D iv
Shaft_13
term_599
Shaft_17
Sc ho_Spl
C rossR vr
Tit icus_
M_B ranch
C rotFall
A mawalk_
EAs h_Spl
W As h_Spl
Allaben_
986
R ond_Spl
983
R ond_R el
EB rB ogB r
C rot_D iv
R ondout_
993
Sc ho_LLO
WA shokan
EA shokan
Schohari
616
N York C ty
B Q_A quif
H illv iew
898
C annoSpl
897 Pepac Spl
899
N ev rs Spl
C annonsv
N evrsR es
W _B ranch
K ensico_
B oydsC or
Pepacton
W allenpa
611As hW as te
C ats k _In
Shaft_6_Shaft_5A
C helsea_
C atJ unc 1
Shaft_4_
R ondLos s
Delaware Aqueduct
C atJ _dem
Muscoot_
N ew_C rot
987
MtMarion
Model DescriptionOASIS system model combined with CEQUAL-W2 Reservoir Models
• OASIS Model used to simulate aqueduct flows and reservoir releases and spills
• Combined OASIS-W2 is backbone of Operations Support Tool (under development)
7
Model Development History
• Mid 2000s: W2 models integrated with OASIS system model for analyses of Catskill Turbidity Control Alternatives. (Hazen & Sawyer/Hydrologics/UFI)
• Late 1990s: Two Dimensional water quality models (CEQUAL-W2) developed as part of FAD modeling (UFI).
• Early 2000s: W2 models connected using linked reservoir software (UFI).
• Other Modeling Applications:• Long Term Planning• Recommendations for operating rules• Catskill Turbidity Control Program• Delaware Basin Flexible Flow Management Program (FFMP)• Climate Change Studies
• Mid 2000s: W2 model improvements including use of multiple settling rates for turbidity causing particles, improved resuspension processes and expanded historical time series. (UFI)
• Mid-Late 2000s: OASIS/W2 model used to evaluate alternatives for Catskill Turbidity Control Program. (Hazen & Sawyer/Hydrologics/UFI)
• Late 2000s-Early 2010s: Development of Operations Support Tool (OST) including the integrated OASIS/W2 model along with improved inflow forecasts and data integration. (Hazen & Sawyer/Hydrologics/UFI)
8
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows
OASIS Water System Model
Turbidity
Reservoir Storage
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles; Reservoir
Storage Levels;Snowpack)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
9
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows
OASIS Water System Model
Turbidity
Reservoir Storage
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles; Reservoir
Storage Levels;Snowpack)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
• Current reservoir water surface elevations
• Limnological surveys• Data from automated
profiles of water column temperature and turbidity
• Snow survey results
10
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows
OASIS Water System Model
Turbidity
Reservoir Storage
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles; Reservoir
Storage Levels;Snowpack)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
• Forecast based on historical record or weather service analysis• Multiple traces representing many potential future input time
series
11
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows
OASIS Water System Model
Turbidity
Reservoir Storage
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles; Reservoir
Storage Levels;Snowpack)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
Multiple time series results representing each of the forecast traces
12
Model run for 57 inflow traces based on historical flow and meteorologic record (1948-2004)
Statistics of traces can be translated to cumulative probability function
Model Description – Application MethodExample of Position Analysis
13
Modeling Applications History
0
5
10
15
20
2005 2006 2007 2008 2009 2010 2011 2012 2013
# of
Mod
elin
g A
naly
ses
Year
0
5
10
15
20
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
# of
Mod
elin
g A
naly
ses
Month
Number of Modeling Analyses by Year
Number of Modeling Analyses by Month
14
Model Simulations Late February 2010• Large storm at the end of January 2010 filled
the Ashokan Reservoir and elevated turbidity in the West Basin of the reservoir.
• If another large storm event were to occur in late February, the West Basin would spill to the East Basin, creating elevated East Basin turbidity.
• A series of CEQUAL-W2 reservoir model simulations and OASIS system model simulations were performed to understand how the use of the Ashokan release channel reduces the risk of higher turbidity water in the West Basin spilling over the dividing weir and entering the East Basin.
0
4000
8000
12000
16000
1-Jan 31-Jan 2-Mar 1-Apr 1-May
Date - 2010
Flow
(cfs
)
1
10
100
1000
10000
1-Jan 31-Jan 2-Mar 1-Apr 1-May
Date - 2010
Turb
idity
(NTU
)
Esopus Creek Inflow
Esopus Creek Turbidity
Sample Analysis – Ashokan Reservoir
Esopus Creek
DividingWeir
CatskillAqueduct
ReleaseChannel
Spillway
15
1
10
100
1000
2-Feb 16-Feb 1-Mar 15-Mar 29-Mar 12-Apr 26-Apr
Date - 2010
East
Bas
in W
ithdr
awl T
urbi
dity
(N
TU)
1
10
100
1000
2-Feb 16-Feb 1-Mar 15-Mar 29-Mar 12-Apr 26-Apr
Date - 2010
East
Bas
in W
ithdr
awl T
urbi
dity
(N
TU)
Model Simulations Late February 2010
0
0.2
0.4
0.6
0.8
1
2-Feb 16-Feb 2-Mar 16-Mar 30-Mar 13-Apr 27-Apr
Date - 2010
Frac
tion
of tr
aces
with
Tu
rbid
ity >
10
NTU
on
or b
efor
e D
ate
Position Analysis Traces
Release Channel = 0 MGD
Release Channel = 350 MGD
Cumulative ProbabilityFraction of Traces with
Turbidity > 10 NTU on or before date
Eas
t B
asin
With
dra
w T
urbi
dity
(N
TU
)
Simulation Date - 2010
Simulation Date - 2010
Release Channel = 0 MGDRelease Channel = 350 MGD
Probability of turbidity exceeding 10 NTU by end of three month simulation period reduced from near 95% to about 35%
Sample Analysis – Ashokan Reservoir
16
0.00
0.20
0.40
0.60
0.80
1.00
2-Feb 16-Feb 2-Mar 16-Mar 30-Mar 13-Apr 27-Apr
Date - 2010
Fra
ctio
n o
f T
race
s w
ith
Fir
st S
pill
on
or
bef
ore
Dat
e
Model Simulations Late February 2010
Cumulative ProbabilityFirst Date of Spill from West Basin to East
Simulation Date - 2010
Release Channel = 0 MGDRelease Channel = 350 MGD
• Using release channel significantly delays and reduces risk of spill from West Basin to East Basin.
• Delay and reduction in spill reduces risks of elevated turbidity in East Basin
• Delay and reduction in West to East Spill also reduces risk and amount of spill from East Basin.
Sample Analysis – Ashokan Reservoir
17
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows Turbidity
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
Kensico Sensitivity Model Application
18
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows Turbidity
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
Kensico Sensitivity Model Application
• Current reservoir water surface elevations
• Limnological surveys• Data from automated
profiles of water column temperature and turbidity
19
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows Turbidity
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
Kensico Sensitivity Model Application
• Forecast based on historical record or weather service analysis• Multiple traces representing many potential future input time
series
20
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows Turbidity
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
Kensico Sensitivity Model ApplicationPrescribed constant time series based on expected turbidity and potential flow rates from upstream reservoirs (via aqueducts)
21
Reservoir Water Quality Model(CEQUAL-W2)
Meteorologic Input(Temp., RH, Solar Rad)
Flows Turbidity
Effluent Turbidity
Initial Conditions(Reservoir Water
Temperature/Turbidity Profiles)
Time Series Input (Forecast)
Initial Conditions (Snapshot)
Model
Results
Model Description – Application Method
Kensico Sensitivity Model Application
For each combination of fixed turbidity and flow inputs the model produces multiple traces of turbidity results based on the meteorologic input traces
22
0
4000
8000
12000
16000
20000
1-Jan 2-Mar 1-May 30-Jun 29-Aug 28-Oct 27-Dec
Flow
(cfs
)
Date - 2010
0
500
1000
1500
2000
2500
1-Jan 2-Mar 1-May 30-Jun 29-Aug 28-Oct 27-Dec
Turb
idity
(N
TU)
Date - 2010
Esopus Creek Inflow
Esopus Creek Turbidity
Catskill Influent
Catskill Effluent
Delaware Effluent
Delaware Influent
• Large event in October produced large input of turbidity to Ashokan Reservoir. There was a large impact on Ashokan diversion turbidity and stop shutters were employed to reduce flow to Kensico Reservoir.
• Kensico 2D reservoir model used to determine effects of elevated turbidity and various Catskill Aqueduct flow rates on Kensico Reservoir effluent.
(20 or 40 NTU)(50, 150 or 250 MGD)
(1150, 1050 or 1000 MGD)
(1.5 NTU)
(400 MGD)
(800 MGD)
Sample Kensico AnalysisOctober 2010
23
October 2010Simulated Catskill Effluent Turbidity
20 NTU
40 NTU
These runs indicated that if Catskill influent turbidity was above 20 NTU flow rate should be reduced to 150 MGD. If Catskill influent turbidity rises to about 40 NTU for an extended period, then flow should be reduced to about 50 MGD.
Catskill Aqueduct Inflow
0.0
2.5
5.0
7.5
10.0
1-Oct 8-Oct 15-Oct 22-Oct 29-Oct0.0
2.5
5.0
7.5
10.0
1-Oct 8-Oct 15-Oct 22-Oct 29-Oct
0.0
2.5
5.0
7.5
10.0
1-Oct 8-Oct 15-Oct 22-Oct 29-Oct0.0
2.5
5.0
7.5
10.0
1-Oct 8-Oct 15-Oct 22-Oct 29-Oct
CatskillAqueduct Influent Turbidity
150 MGD 250 MGD
0.0
2.5
5.0
7.5
10.0
1-Oct 8-Oct 15-Oct 22-Oct 29-Oct
0.0
2.5
5.0
7.5
10.0
1-Oct 8-Oct 15-Oct 22-Oct 29-Oct
50 MGD
Sample Kensico Analysis
24
Conclusions
• Over the last decade DEP has developed and applied an extensive suite of water quality and water system models to analyze turbidity transport within the Catskill System Reservoirs.
• DEP’s water quality models have been effectively used to help inform operational decisions to minimize use of alum and turbidity at water supply intakes.
• Development and application of these models continues under the Operations Support Tool project.