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Quality control of hydrologic data for water use planning (WUP) applications

Quality control of hydrologic data for water use planning (WUP) applications. poster paper by Frank Weber prepared for a BC Branch CWRA conference, May 2001 presented by Eric Weiss to CRWMG workshop - 24 May 2001. Introduction. Water Use Plans (WUP) a provincial initiative

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Quality control of hydrologic data for water use planning (WUP) applications

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  1. Quality control of hydrologic data for water use planning (WUP) applications poster paper by Frank Weber prepared for a BC Branch CWRA conference, May 2001 presented by Eric Weiss to CRWMG workshop - 24 May 2001

  2. Introduction • Water Use Plans (WUP) • a provincial initiative • to enhance water management at hydroelectric power and other water control facilities in British Columbia

  3. Introduction • Unregulated streamflow data required • Inflows to BC Hydro's reservoirs • Unregulated ‘local’ streamflows downstream of dams and powerhouses

  4. Introduction Alternative operations Results Reservoir levels Outflows Power model Inflows Values Power Fishery Recreational …

  5. Cheakamus drainage basin

  6. Cheakamus drainage basin

  7. Introduction Daisy Reservoir Squamish River Locations for flow data requirements inyellow Cheakamus River

  8. Data not measured directly • Reservoir inflows = • reservoir outflows + storage change • Local Cheakamus River flows = • Cheakamus River near Brackendale – spillway releases • Local Squamish River flows = • Squamish River near Brackendale flows – turbine releases

  9. Random sources of error • ‘Seiche’ affects • Malfunctioning gauges • Streamflow measurements errors • Incorrect power generation readings • Coarse resolution of measured data • Transcription and transmission errors

  10. Systematic sources of error • Inaccurate ratings • spillway • turbine efficiencies • stage-discharge

  11. Quality control programs • Inflow data • QCFlow • ‘Local’ or inflow data • QCUnitFlow

  12. QCFlow removes “noise”

  13. QCFlow • Key features • Regional analysis • Simple linear regression model • inflows related to indicator streams • based on 5-day moving window • Semi-automated procedure

  14. QCFlow process Reference flow 1 Reference flow 2 … 5-day correlations r1, r2, … Inflow data if Max (r1, r2, …) < 0 Use 5-day moving average if Max (r1, r2, …) > 0 < rthreshold Use regression estimate if Max (r1, r2, …) > 0 > rthreshold Retain original data

  15. QCUnitFlow • Key features • Regional analysis • Analyze flow-per-unit-area (l/s/km2) • Apply an offset based on flow per unit area from a reference station • Offset is average difference of the flows per unit area • Offset applies to 15 days before and after period of interest • Linearly interpolate offset over estimation period

  16. 1995 local flows

  17. Example of “corrected” local flows

  18. Results of QCFlow • 65% inflows retained • 35% estimated • Annual runoff volume are less than 1%

  19. Results of QCUnitFlow • Local Squamish River Flows • 1960 to 1998 • “corrected” 5% • Local Cheakamus River Flows • 1967 to 1998 • “Corrected” 33%

  20. Summary • QCFlow • Smoothes inflows • QCUnitFlow • Fills in missing data gaps • Corrects suspicious looking data • Both techniques • semi automates QC • requires representative gauged sites nearby • accepted for WUP studies

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