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Get Calculating Weighted Estimates Of Peak Streamflow Statistics
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How to use or fill out the Calculating Weighted Estimates Of Peak Streamflow Statistics online
This guide provides a clear and structured approach for completing the Calculating Weighted Estimates of Peak Streamflow Statistics form online. By following these instructions, users can efficiently navigate through the required fields and gather the necessary data for accurate flow statistic calculations.
Follow the steps to complete the form accurately.
- Press the ‘Get Form’ button to obtain the form and open it in your preferred editor.
- Gather the necessary data from your PEAKFQ analysis. This includes entering the station number, the number of observations, and the fitted parameters (M, S, G) in log units.
- Indicate the skew type by selecting W for Weighted, S for Station, or G for Generalized. Enter the mean square error (MSE) for the generalized skew and specify the non-exceedance probability to be estimated, for example, enter 0.01 for the 1-percent chance flood.
- Input the regional regression equation information. Enter the regression estimate and decide whether to use Station (At-Site) predictors or Basin-wide average predictors by selecting 1 or 2.
- If using Station predictors, input the U matrix values, the Xo matrix, and the standard error of the regression model. If using Basin-wide average predictors, enter the average standard error of prediction and specify its type and units.
- Once all inputs are entered, the program will calculate the weighted estimate of peak streamflow and the associated variance. Review the calculated upper and lower 95-percent confidence intervals.
- At the end of the session, you will have the option to save your results to a file. Ensure to save, download, or print the output as necessary.
Complete your documents online to ensure accurate calculations for your peak streamflow statistics.
Stream discharge can be measured using (1) volumetric gauging, (2) float gauging, (3) current metering, (4) dilution gauging (constant injection or gulp methods), (5) structural methods, and (6) slope-area methods.
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