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Pre Conference Seminars 1 WCS Tracker: A real-time water budget application Project Team: SFWMD: Ken Stewart, PhD., Ron Mierau, PE. PBSJ: Jack Hampson,

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Presentation on theme: "Pre Conference Seminars 1 WCS Tracker: A real-time water budget application Project Team: SFWMD: Ken Stewart, PhD., Ron Mierau, PE. PBSJ: Jack Hampson,"— Presentation transcript:

1 Pre Conference Seminars 1 WCS Tracker: A real-time water budget application Project Team: SFWMD: Ken Stewart, PhD., Ron Mierau, PE. PBSJ: Jack Hampson, Stephen Bourne CRWR (UT): David Maidment, PhD., Texas A&M: Kelly Brumbelow, PhD. Presented by: Stephen Bourne, PBS&J ESRI UC 2007, Arc Hydro Seminar

2 Pre Conference Seminar2 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, REvapo-transpiration,ET What is A WCS? Storage

3 Pre Conference Seminar3 Apply a Water Budget to the WCS… + = WCU WCC Convert to State Space to involve time component…

4 Pre Conference Seminar4 What does a water budget look like?

5 Pre Conference Seminar5 Development 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. 1.Define Calculation Methodologies 2. 2.Develop Technological Framework 3. 3.Develop Data Collection System 4. 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

6 Pre Conference Seminar6 Where does the data come from? WCC Supervisory Control and Data Acquisition (SCADA) Real-time remote measurements Control Structures (Q, Stage) Gages (R, ET)

7 Pre Conference Seminar7 Rainfall Next Step: NexRAD-based Rainfall Initial Method:

8 Pre Conference Seminar8 Evapo-Transpiration, ET Next Step: Grid-based ET estimates Initial Method: 1. 1.Spatially Variable Coefficients 2. 2.ET-field generation from gages 3. 3.Remotely Sensed Interpreted ET.

9 Pre Conference Seminar9 Flow through WCU, Q s Initial Method: Q s,In Q s,Out For a given time,  t, Volume of flow out of structure, Q s (t)  t, is given as: Q s (t)  t = Q s,In (t)  t – Q s,Out (t)  t

10 Pre Conference Seminar10 Change in Storage in WCU,  S WCU Initial Method: A wcu H up H Down S wcu (t-1) S wcu (t)  S wcu Next Steps: Stage-Storage Based Estimates, 3D Canal volume (Fogg)

11 Pre Conference Seminar11 Technological Framework: Physical Model to Data Model WCU WCC Flow, Q Q Q Q Rain, REvapo-transpiration, ET Custom WCS Object

12 Pre Conference Seminar12 Technological Framework: Object Model to Data Model AHED.ArcHydro FeatureDataset Table RelationshipClass FeatureClass FeatureDataset StructureWaterBody Watershed Time Series Data Cubes Attribute Series Catalog WatershedHasT imeSeries StructureHas TimeSeries WaterBodyHas TimeSeries HydroEdgeHas TimeSeries HydroEdge AHED GeoDatabase WCSHas Watershed WCSHas Outlet WCSHas Inlet WCSHas WCU WCSHas HydroEdge WCS Boundary Polygons for WCSs WCS Tracker-Specific MonitoringPoint MonitoringPointHas TimeSeries Re-Analysis Data Cubes Attribute Series Catalog WCSHas TimeSeries R 1, ET 1, S * R 1, ET 1, S 1 Qs1Qs1 T 2, R 2 1 - Calculated 2 - Measured Raw Data from SCADA

13 Pre Conference Seminar13 Time Series and Data Cubes Historical System State Clean System State Recent System State Data Cube t variable location Historical System State Clean System State Recent System State Time slice Created from irregular data On  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 NowVariable t

14 Pre Conference Seminar14 Estimating Now t t  t = 15 min (nom.), Equal interval  t ~ 15 min – 2 hour, Unequal interval t  t = 1 hour, equal interval S t = fn(ET t, Q t, P t, S t-1 ) Several parameters must be projected from recent history. t = Now R wcc, wcu QsQs 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

15 Pre Conference Seminar15 Robust Processing is Essential Data Processor is triggered every fifteen minutes. 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 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 Slice Process if not in datacube Create Collection of Time Slices to Process For Each WCS Trigger Start Reset Trigger Time Publish to ReAnalysis Datacube

16 Pre Conference Seminar16 Where does WCS Tracker fit in larger SFWMD picture? DBHydroOpHydroDVCPAHED Federated Databases Socio-EconomicEcological Models Data Information ODSS Knowledge

17 Pre Conference Seminar17 Next Steps… Historical Calibration - 30 year time horizon - Defines ranges for S wcc for each water control system Pilot Area Expansion - Region between Lake Istakpoga and Lake Okeechoobee Enhanced User Tools - Tools for automatic WCS mapping and maintenance - Animation Tools - Operator Override Tools - Moving to the web Uncertainty and Error Analysis - Understanding how conceptual and instrument error contribute to uncertainty in storage terms. Performance Upgrades


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