San Antonio River Authority’s Bexar County Flood Warning System · 2013-07-09 · SARA’s Bexar...
Transcript of San Antonio River Authority’s Bexar County Flood Warning System · 2013-07-09 · SARA’s Bexar...
San Antonio River Authority’sBexar County Flood Warning System
Curtis Beitel, P.E., CFM
ASFPM 2013 Conference
June 2013
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Project Overview
• Only FloodWorks in U.S.
• Implemented Salado Creek
Pilot Study in June 2011
• San Antonio River
– 50 locations
• Leon Creek
– 30 locations
• Medina River
– 20 locations
• Cibolo Creek
– 20 locations
• Salado Creek update
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Traditional Flood Forecasting System
Flood Warning Server
Level
Gauge
SCADA/ telemetry database
Client
s
Management of real-time data from the field
– importance of decent data quality
Preparation of these
data for input to the
forecasting model
Forecast runs with real-time updating
procedures to improve forecasts based
on observed data
Dissemination
module, using
fax, email, SMS
and internet
Rain Gauge
& NEXRAD
Timely: Available in the shortest possible time from measurement of the precipitation in the catchment
Accurate: Both the authorities preparing emergency action and the vulnerable people need confidence in the system
Reliable: Capable of functioning in the severe conditions that prevail during storms and disasters
Adaptable:Able to take account of the impacts of physical changes in the catchment
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Operational Diagram
• 2 Processes– Hydrometric DB
– Event Manager
• Automatic– Low = Every 6 hours
– High = Every 15 minutes
– 24/7
• Runs– InfoWorks RS
– InfoWorks CS
– InfoWorks SD
Source: FloodWorks Version 13.0 Users Manual, Innovyze, July 2012
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Hydrology
Rainfall and
Potential
Evaporation
Runoff
Probability Distributed Model
(PDM)
Soil
Moisture
Routing Reaches
(Olmos Watershed)
Simplified Runoff
Model (SRM)
Runoff
RS Hydraulic Model
(SAR Watersheds)
Rainfall
• 2 Processes
– Probability Distributed Model
– Simplified Runoff Model
• Probability Distributed
Model
– Estimates soil moisture from
gaging station
• Simplified Runoff Model
– Uses soil moisture to generate
runoff hydrographs at
ungauged locations
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Hydrology - PDM
• Probability Distributed
Model
– Requires real time gaging
station
– Estimates soil moisture
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Hydrology – PDM Calibration
Model ComponentPara-
meterUnit Description Function
General
fc none rainfall factor controls runoff volume
td h time delay shifts hydrograph along time axis
kinf mm/hr Infiltration ratedecrease kinf to increase infiltration-
excess runoff
Probability Distributed
Storage Area
cmin mm minimum and maximum storage
capacityaffect time of onset of runoff, also
feeds back to evaporation and recharge
rates
cmax mm
b none
exponent of Pareto distribution
controlling spatial variability of storage
capacity
Evaporation Function be none exponent in actual evaporation functionaffects variation between seasons or
years
Standard Recharge
Function
kg h mmbg-1 groundwater recharge time constant controls rate of aquifer recharge
bg none exponent of recharge functionincrease to magnify sensitivity of
recharge rate to soil dryness
St mm soil tension storage capacity
increase to prevent complete drainage
of soil moisture storage area and
maintain evaporation
Surface Routingk1 h time constants of cascade of two linear
reservoirscontrols peakiness of hydrograph
k2 h
Groundwater Storage
Routing
kb h mmm-1
baseflow time constant
(m: exponent of baseflow non-linear
storage)
controls length of recession
qc m3s-1constant flow representing
returns/abstractionsshifts hydrograph along flow axis
Table adapted from: CEH Wallingford, A practical User Guide to the PDM, Technical Paper. October
2002 and CEH Wallingford, The Probability Distributed Model, Technical Paper, 2000.
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Hydrology – PDM Calibration
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
1/1
/19
98
7/2
/19
98
1/1
/19
99
7/2
/19
99
1/1
/20
00
7/1
/20
00
12
/31
/20
00
7/1
/20
01
12
/31
/20
01
7/1
/20
02
12
/31
/20
02
7/1
/20
03
12
/31
/20
03
6/3
0/2
00
4
12
/30
/20
04
6/3
0/2
00
5
12
/30
/20
05
6/3
0/2
00
6
12
/30
/20
06
6/3
0/2
00
7
12
/30
/20
07
6/2
9/2
00
8
12
/29
/20
08
6/2
9/2
00
9
12
/29
/20
09
6/2
9/2
01
0
12
/29
/20
10
6/2
9/2
01
1
12
/29
/20
11
6/2
8/2
01
2
12
/28
/20
12
Da
ily
Me
an
Dis
cha
rge
(cf
s)
Date
USGS Discharge Data
SAR Lower 08178565
SAR Upper 08178050
Olmos 08177700
Calibration Event
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Hydrology – PDM Calibration
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
10.00
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
Rai
nfal
l R
ate
(in/
hr)
Dis
char
ge (c
fs)
Date / Time
Observed Flow (cfs)
Computed Flow (cfs)
Rainfall Rate (in/hr)
Olmos Creek at Dresden Drive - September 2010 Event
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Hydrology – PDM Calibration
San Antonio River at Mitchell Street - September 2010 Event
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
10.00
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
Rai
nfal
l R
ate
(in/
hr)
Dis
char
ge (c
fs)
Date / Time
Observed Flow (cfs)
Computed Flow (cfs)
Rainfall Rate (in/hr)
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Hydrology – PDM Calibration
San Antonio River at Loop 410 - September 2010 Event
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
10.00
10,000
20,000
30,000
40,000
50,000
60,000
70,000
Rai
nfal
l R
ate
(in/
hr)
Dis
char
ge (c
fs)
Date / Time
Observed Flow (cfs)
Computed Flow (cfs)
Rainfall Rate (in/hr)
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Hydrology - Simplified Runoff Model
• Generates runoff
hydrographs
• Basin average rainfall P
• Effective rainfall Re
– Re = P x C x (1-SMD)
– SMD = soil moisture deficit
• Converted to runoff Q
– 2 linear reservoirs
– Q = Re x (1-e-t/K)
• Q input into InfoWorks RS
– At a point
– Distributed over reach
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Hydraulics - Overview
• San Antonio River
– 48 miles
• Leon Creek
– 59 miles
• Medina River
– 39 miles
• Cibolo Creek
– 17 miles
• Salado Creek
– 20 miles
• Total = 183 miles
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Hydraulics - Comparison
• DFIRM RAS models
– As detailed as possible
– Steady peak flow rate
– Focused on 100-year
– 1D flow
– Hydrologic routing
– English units
• InfoWorks RS models
– Match RAS within 0.5 feet
– Unsteady, Full range of flows
– Balanced focus (low & high)
– 1D with multiple flow paths
– Dynamic channel routing
– Metric units
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Hydraulics - Processes
• Simplified RS models
– Run within 15 minute window
• Starts with DFIRM RAS
– Review / refinement
– Delete unnecessary sections
• Import into RS
• Steady RS (low flows)
• Unsteady RS (HMS flows)
• Add structures 1 at a time
• Compare RAS vs. RS
• Optimization
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Hydraulics - Challenges
• Complex split flow areas
– Martinez Creek
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Hydraulics - Challenges
• Undersized storm drains
– Apache Creek
– Concepcion Creek
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Hydraulics - Challenges
• Flow through
neighborhoods
– Apache Creek
– Concepcion Creek
• Series of storage
areas in InfoWorks RS
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Hydraulics - Challenges
• Flood Control Tunnel Operations
– San Pedro Creek Tunnel
– San Antonio River Tunnel
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Real Time Adjustments
• State-updating & error prediction: Compares observed data
with the corresponding model outputs and uses this
information to update and improve the model forecasts:
– State-correction
– Error-prediction
• Quick real time update
• Available for operations
• Confidence in system
SARA’s Bexar County Flood Warning System June 2013 21
Rainfall Forecast Options
• Quantitative Precipitation
Forecasts
• 1 hour to 5 days
• GIS-based spatial/volume input
• Forecast information from
– NWS/NOAA
– Private sector
• Developing a library of rainfall
profiles
– SARA staff to select
– NWS/NOAA to provide
http://www.nssl.noaa.gov/projects/q2/q2.php
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Interactive Website at EOC
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Details at Warning Location
• Local web design sub– Updated
SAOEM site
• Current and concise data
• SAOEM EOC
• SAFD Dispatch
• Swift Water Rescue
• SAPD/Sheriff evacuations
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Location Maps
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Real Time Inundation Mapping
Overall Maximum
Water
Velocity
Water Depth
• Limited
number of
locations
• Road
closures
• Evacuation
limits
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Project Schedule
• Salado Pilot Study – June 2011 – by AGT & HR Wallingford
• Notice to proceed - April 2012
• Initial Salado Website – January 2013
• San Antonio
– RS models – January 2013
– Calibration – April 2013
– Website – July 2013
• Leon Creek
– RS models – April 2013
– Calibration – July 2013
– Website – September 2013
• Medina Creek / Cibolo Creek / Salado Update
– Website – December 2013
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Questions & Answers
Overall Maximum
Water
Velocit
y
Water
Depth