Pre Conference Seminars 1 WCS Tracker: A real-time water budget application Project Team: SFWMD: Ken...
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Transcript of Pre Conference Seminars 1 WCS Tracker: A real-time water budget application Project Team: SFWMD: Ken...
Pre Conference SeminarsPre Conference Seminars 11
WCS Tracker:WCS Tracker:A real-time water budget applicationA real-time water budget application
Project Team:Project Team:SFWMD: Ken Stewart, PhD., Ron Mierau, PE.SFWMD: Ken Stewart, PhD., Ron Mierau, PE.
PBSJ: Jack Hampson, Stephen BournePBSJ: Jack Hampson, Stephen BourneCRWR (UT): David Maidment, PhD., CRWR (UT): David Maidment, PhD., Texas A&M: Kelly Brumbelow, PhD.Texas A&M: Kelly Brumbelow, PhD.
Presented by:Presented by:Stephen Bourne, PBS&JStephen Bourne, PBS&J
ESRI UC 2007, Arc Hydro SeminarESRI UC 2007, Arc Hydro Seminar
Pre Conference SeminarPre Conference Seminar 22
• WCS is a Water Control System
• Drainage area that is controlled by flow structures
• Composed of Water Control Catchment (WCC) and Water Control Unit (WCU)
• SFWMD consists of 168 WCS
• WCS concept adopted in early 1990s.
• Lends itself well to conservation of mass.
WCU
WCC
Flow, Q
Q
Q
Q
Rain, R Evapo-transpiration, Evapo-transpiration, ETET
What is A WCS?What is A WCS?
Storage
Pre Conference SeminarPre Conference Seminar 33
Apply a Water Budget to the WCS…Apply a Water Budget to the WCS…
tQtQAETRS transswcuwcuwcuwcu )(
tQAETRS transwccwccwccwcc )(
wcuswcuwcuwcuwccwccwccwcc StQAETRAETRS )()(
+
=
)1()())()(())()(()( tSSttQAtETtRAtETtRtS wccwcuswcuwcuwcuwccwccwccwcc
WCUWCU
WCCWCC
Convert to State Space to involve time component…Convert to State Space to involve time component…
Pre Conference SeminarPre Conference Seminar 44
What does a water budget look like?What does a water budget look like?
)1()())()(())()(()( tSSttQAtETtRAtETtRtS wccwcuswcuwcuwcuwccwccwccwcc
Pre Conference SeminarPre Conference Seminar 55
Development StrategyDevelopment Strategy
Short Burn Time Frame - 8 weeks
Pilot Area - 14 WCSs, t = 15 mins
Tasks to arrive at a working real-time water budget:
1. Define Calculation Methodologies
2. Develop Technological Framework
3. Develop Data Collection System
4. Develop Data Processor
Option 1: Focus on a few terms in detail
Option 2: Focus on full water budget using lower accuracy methods for terms
Pre Conference SeminarPre Conference Seminar 66
Where does the data come from?Where does the data come from?
)1()())()(())()(()( tSSttQAtETtRAtETtRtS wccwcuswcuwcuwcuwccwccwccwcc
WCC
Supervisory Control and Data Acquisition (SCADA)
Real-time remote measurements
Control Structures (Q, Stage)
Gages (R, ET)
Pre Conference SeminarPre Conference Seminar 77
RainfallRainfall
)1()())()(())()(()( tSSttQAtETtRAtETtRtS wccwcuswcuwcuwcuwccwccwccwcc
i
i
watershed
watershed
grid
gridwatershedi
N
iii
A
A
RR
|
1
i
i
waterbody
grid
gridwaterbodyi
N
iiiwaterbody
A
A
RR
|
1
waterbodywatershedWCC RRR waterbodyWCU RR
GAGEWCUWCC RRR
Next Step: NexRAD-based Rainfall
Initial Method:
Pre Conference SeminarPre Conference Seminar 88
Evapo-Transpiration, ETEvapo-Transpiration, ET
)1()())()(())()(()( tSSttQAtETtRAtETtRtS wccwcuswcuwcuwcuwccwccwccwcc
Next Step: Grid-based ET estimates
Initial Method:
1. Spatially Variable Coefficients2. ET-field generation from gages3. Remotely Sensed Interpreted ET.
M
j ij
M
j ij
j
i
D
D
ET
ET
1
1
1
i
i
watershed
watershed
grid
gridwatershedi
N
iii
A
A
ETET
|
1
)( GAGEWCUWCC SolarRadfnETET
Pre Conference SeminarPre Conference Seminar 99
Flow through WCU, QFlow through WCU, Qss
)1()())()(())()(()( tSSttQAtETtRAtETtRtS wccwcuswcuwcuwcuwccwccwccwcc
Initial Method:
Qs,InQs,Out
For a given time, t,
Volume of flow out of structure, Qs(t)t, is given as:
Qs(t)t = Qs,In(t)t – Qs,Out(t)t
Pre Conference SeminarPre Conference Seminar 1010
Change in Storage in WCU, Change in Storage in WCU, SSWCUWCU
)1()())()(())()(()( tSSttQAtETtRAtETtRtS wccwcuswcuwcuwcuwccwccwccwcc
Initial Method:
wcuDownUp
wcu AHH
S2
)(
Awcu
Hup
HDown
Swcu(t-1)Swcu(t)
Swcu
Next Steps: Stage-Storage Based Estimates, 3D Canal volume (Fogg)
Pre Conference SeminarPre Conference Seminar 1111
Technological Framework: Physical Model to Data ModelTechnological Framework: Physical Model to Data Model
WCU
WCC
Flow, Q
Q
Q
Q
Rain, R Evapo-transpiration, ET
Custom WCS ObjectCustom WCS Object
Pre Conference SeminarPre Conference Seminar 1212
Technological Framework: Object Model to Data ModelTechnological Framework: Object Model to Data Model
AHED.ArcHydro FeatureDataset
Table
RelationshipClass
FeatureClass
FeatureDataset
Structure WaterBodyWatershed
Time Series Data Cubes
Attribute Series
Catalog
WatershedHasTimeSeries
StructureHasTimeSeries
WaterBodyHasTimeSeries
HydroEdgeHasTimeSeries
HydroEdge
AHED GeoDatabase
WCSHasWatershed
WCSHasOutlet
WCSHasInlet
WCSHasWCU
WCSHasHydroEdge
WCSBoundary Polygons for WCSs
WCS Tracker-Specific
MonitoringPoint
MonitoringPointHasTimeSeries
Re-Analysis Data Cubes
Attribute Series
Catalog
WCSHasTimeSeries
R1, ET1, S* R1, ET1, S1 Qs
1T2, R2
1 - Calculated2 - Measured
Raw Data from SCADA
Pre Conference SeminarPre Conference Seminar 1313
Time Series and Data CubesTime Series and Data Cubes
HistoricalSystemState
Clean SystemState
RecentSystemState
Data Cubet
variablelocation
HistoricalSystemState
Clean SystemState
RecentSystemState
Time sliceCreated from irregular dataOn t = 15 min
• Times Series are stored in data cubes
• Multiple Cubes are determined by quality of data
• Cubes can be concatenated to create composite time series
Raw Data
Water Budget Data
NowVariableVariable
tt
Pre Conference SeminarPre Conference Seminar 1414
Estimating NowEstimating Now
t
t
t = 15 min (nom.), Equal interval
t ~ 15 min – 2 hour, Unequal interval
tt = 1 hour, equal interval
St = fn(ETt, Qt, Pt, St-1)
Several parameters must be projected from recent history.
t = Now
R
wcc,
wcu
Qs
ET(T,x)
WCC, WCU
• Incoming real time data is at irregular intervalsIncoming real time data is at irregular intervals
• Must be extrapolated to same time for Water BudgetMust be extrapolated to same time for Water Budget
Pre Conference SeminarPre Conference Seminar 1515
Robust Processing is EssentialRobust Processing is Essential
Data Processor is triggered every fifteen minutes.Data Processor is triggered every fifteen minutes.Runs a loop to check past window of 8 hours.Runs a loop to check past window of 8 hours.
Define Now(last regular 15 min. time step)
Define Now(last regular 15 min. time step)
Define Process Start Time
(Now – 8 hours)
Define Process Start Time
(Now – 8 hours)
Calculate Water
Budget
Calculate Water
Budget
Build WCS Object
Includes Input time series
Build WCS Object
Includes Input time series
Estimate Input Variables
for Time Slice time
Estimate Input Variables
for Time Slice time
For Each Time SliceProcess if not in datacubeCreate
Collection of Time Slices to Process
Create Collection of Time Slices to Process
For Each WCS
Trigger Start
Trigger Start
Reset Trigger
Time
Reset Trigger
Time
Publish to ReAnalysis Datacube
Publish to ReAnalysis Datacube
Pre Conference SeminarPre Conference Seminar 1616
Where does WCS Tracker fit in larger SFWMD picture?Where does WCS Tracker fit in larger SFWMD picture?
DBHydro OpHydro DVCP AHED
Federated Databases
Socio-EconomicEcological Models
Data
Information
ODSSKnowledge
Pre Conference SeminarPre Conference Seminar 1717
Next Steps…Next Steps…
Historical CalibrationHistorical Calibration- 30 year time horizon- 30 year time horizon- Defines ranges for S- Defines ranges for Swccwcc for each water control system for each water control system
Pilot Area ExpansionPilot Area Expansion- Region between Lake Istakpoga and Lake Okeechoobee- Region between Lake Istakpoga and Lake Okeechoobee
Enhanced User ToolsEnhanced User Tools- Tools for automatic WCS mapping and maintenance- Tools for automatic WCS mapping and maintenance- Animation Tools- Animation Tools- Operator Override Tools- Operator Override Tools- Moving to the web- Moving to the web
Uncertainty and Error AnalysisUncertainty and Error Analysis- Understanding how conceptual and instrument error - Understanding how conceptual and instrument error
contribute to uncertainty in storage terms.contribute to uncertainty in storage terms.
Performance UpgradesPerformance Upgrades