Download page Task 3. Fit Probability Distributions to the Flood Mechanism-Specific Annual Maximum Series.
Task 3. Fit Probability Distributions to the Flood Mechanism-Specific Annual Maximum Series
Now, you will repeat the previous steps to fit an LPIII distribution to the Mixed Snow and Rain-Only AMS. First,
Create a Mixed-Snow Bulletin 17 Analysis
SelectAnalysis | New | Bulletin 17 Flow Frequency.
Name the new analysis “MixedSnow_B17C” and add an adequate description.
Select theMixed Snow AMS data set.
Ensure the17C EMAmethod is selected within theMethod for Computing Statistics and Confidence Limitspanel.
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).
Move to the EMA Datatab. Ensure that theFlow Rangestable contains a low and high value for every single year in the analysis period.
ClickCompute.
ClickPlot 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.
This curve more accurate portrays the behavior of rare mixed-snow floods, especially for rare AEP.
Create a Rain-Only Bulletin 17 Analysis
SelectAnalysis | New | Bulletin 17 Flow Frequency.
Name the new analysis “RainOnly_B17C” and add an adequate description.
Select theRain-Only AMS data set.
Ensure the17C EMAmethod is selected within theMethod for Computing Statistics and Confidence Limitspanel.
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).
Move to the EMA Datatab. Ensure that theFlow Rangestable contains a low and high value for every single year in the analysis period.
ClickCompute.
ClickPlot 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.
This curve more accurate portrays the behavior of rare rain-only floods, especially for rare AEP.
Create a TC/TSR General Frequency Analysis
SelectAnalysis | New | General Frequency.
TC/TSR floods do not occur each year within the Bald Eagle Creek watershed. They are infrequent but important contributors to the overall assessment of flood frequency. In order to accurately portray the expected flood frequency behavior of this flood mechanism, an empirical distribution should be fit to the available TC/TSR data.
Name the new analysis “TC_TSR_GenFreq” and add an adequate description.
Select theTC_TSR AMS data set.
Ensure theGraphical/Empiricalmethod is selected within theDistribution panel. All other General tab options should remain unchanged.
Move to the Options tab. Enter the following ordinates within the Output Frequency Ordinates panel:
In addition to right-clicking within the table and selecting Insert Rows, you may Copy/Paste the desired ordinates.
AEP (%)
0.01
0.02
0.05
0.075
0.1
0.2
0.5
1
2
5
10
Move to the Graphical tab.
Select the Flow option within the Data Type panel.
Within the User-Defined Graphical Curve panel, enter the following ordinates:
Copy/Paste the desired values within the User-Defined Graphical Curve panel.
AEP (%)
Flow (cfs)
0.01
90,000
0.02
75,000
0.05
61,000
0.075
55,000
0.1
50,000
0.2
40,500
0.5
30,500
1
24,500
2
15,500
5
6,800
10
3,000
The Graphical tab should resemble the following figure:
ClickCompute.
This curve more accurate portrays the behavior of rare TC/TSR floods, especially for rare AEP.