Create an All-Season Bulletin 17 Analysis

Now that you've imported several time series, you will create a Bulletin 17 analysis and fit an LPIII distribution to the all-season AMS.

  • Select Analysis | New | Bulletin 17 Flow Frequency.
  • Name the new analysis “Mixed_B17C” and add an adequate description.
  • Select the All-Season AMS data set.
  • Ensure the 17C EMA method is selected within the Method for Computing Statistics and Confidence Limits panel.
    • This will automatically select other features including the Multiple Grubbs-Beck low outlier test and Hirsch/Stedinger Plotting Positions.
    • The General tab should resemble the following figure.

Mixed_B17C Analysis General Tab

  • Move to the Options tab.
  • Within the Output Frequency Ordinates panel, enter 4 new ordinates representing the 0.01, 0.02, 0.05, and 0.1% annual exceedance probabilities (AEP), as shown in the following figure.

Right-click within the table and select Insert Rows.

Mixed_B17C Analysis Options Tab

  • Move to the EMA Data tab.
  • Ensure that the Flow Ranges table contains a low and high value for every single year in the analysis period. The completed EMA Data tab should resemble the following figure.

Mixed_B17C Analysis EMA Data Tab

  • Click Compute.

Review the All-Season Bulletin 17 Analysis Results

  • Click Plot Curve. This will result in the computed curve, 5- and 95-percent confidence limits, and observed events being plotted.  The plot should resemble the following figure.

Mixed_B17C Analysis Plot

  • Examine the right-hand tail of the flood frequency curve.  The largest two flood events were caused by TC/TSR (Agnes and Ivan) while the next two largest flood events were caused by Mixed/Rain-on-Snow (January 1996 and December 2010), as shown in the following image:

  • This disparity in flood mechanism leads to inaccurate estimation of flood frequency for rare AEP, like those required as part of this study.
  • Click the Save button () to save the study.

Continue to Task 3. Fit Probability Distributions to the Flood Mechanism-Specific Annual Maximum Series.