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Procedure for Working with Gauge Station Data

  • Put the data from the chip in the gage station into Excel.
  • Using the 15 minute averages, use Excel to calculate a Daily Mean Flow value. This will just be the average of all the heights measured for each day. The number will be in meters.
  • Create these columns: "Date", "Height measured in meters", "Height converted to feet", "Correction for the sensor height", "Q linear", and "Q curved".
  • Input the date, and the Daily Mean Flow in the "Height measured in meters’ column.
  • Convert the Height in meters to Height in feet. (The rating curve is in cubic feet per second (cfs) so our measurements need to be in feet!) Put this in the "Height converted to feet" column.
  • Add 1.673 feet to correct for the distance from the bottom of the bridge (what the rating curve was based upon) to the tip of the sensor. Put this in the "Correction for the sensor height" column.
  • Using the equations from Ryan Linthicum’s Rating Curve, calculate the discharge (Q) that corresponds to each height that we measured (now in the "Correction for the sensor height" column). The exponential curve is similar to most other rating curves, and represents an "ideal" situation. Its equation is Stage = 6.28 Q –0.0375 where stage is the measurement taken (depth to water surface), and Q is discharge.
  • The linear rating curve was added because the gage station is directly under a bridge. When the flow is increasing, the bridge acts as a "bottleneck" for the stream; that is, as Q is increasing, the height under the bridge will increase abnormally fast, when compared to a "natural" channel. Because the Rating Curve is not well constrained yet, both the linear and exponential rating curves should be considered. The linear rating curve’s equation is: Stage = -0.0204Q + 5.9787.
  • Now you have daily average discharges, based upon two different rating curve interpretations. From these you can calculate the Mean, Maximum, and Minimum for the time of record. This should be done on the daily averages, but it can also be done on weekly averages.
  • Exceedance values also need to be calculated for 20%, 50% and 80% exceedance. 20% exceedance should be reported as a single discharge measure (in cfs). This means that 20% of the daily average discharges are above the discharge that you report. (For example, summer 2001 data had discharges ranging from 0 to 37.4 cfs, and the 20% exceedance value was reported as 7.5 cfs)
  • Note:
    The formula entered into excel for the linear data is Q= (stage/-0.0204) – 5.9787
    The formula for the exponential curve is (LN(stage/6.282)/-0.0375. Now you need to take the answer and put it to the base of e. In Excel, type EXP(the number), and it will give you the discharge. On the TI-85 calculators, its 2nd LN the number.

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