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GEV Data Analysis 2012

Page history last edited by Dr. Ron Eaglin 8 years, 1 month ago

GEV Data Analysis (back to Methodology for Final Analysis 2012 )

 

Summary

 

The annual maxima were fit to a GEV distribution. This distribution was used to generate predictions for return periods (and corresponding exceedence probabilities) of 500 years, 200 years, 100 years, 50 years, 25 years, 10 years, 5 years, 3 years, and 2 years. Standard methodology for rainfall is to apply Weiss factors based on the data being collected as hourly data. The GEV with and without Weiss factors was reported.

 

Results

 

Station_GEV_Reprocessed_8_2012_all.xlsx

 

Sample Data

 

GEV Without Weiss Factor - Booksville Combined  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Probability RP Hr1 Hr2 Hr6 Hr12 Hr24 Hr48 Hr72 Hr96 Hr120
0.998 500 3.802 4.658 7.51 13.348 16.829 23.384 27.468 28.38 27.354
0.995 200 3.576 4.433 6.871 11.239 13.919 18.462 21.041 21.874 21.578
0.99 100 3.389 4.24 6.375 9.808 11.997 15.405 17.207 17.977 18.022
0.98 50 3.186 4.023 5.866 8.503 10.284 12.821 14.075 14.781 15.037
0.96 25 2.965 3.78 5.342 7.307 8.753 10.63 11.508 12.154 12.526
0.9 10 2.64 3.406 4.617 5.867 6.958 8.217 8.792 9.363 9.783
0.8 5 2.358 3.068 4.028 4.852 5.729 6.668 7.122 7.639 8.04
0.667 3 2.116 2.769 3.549 4.116 4.857 5.625 6.033 6.511 6.873
0.5 2 1.885 2.475 3.112 3.504 4.146 4.81 5.206 5.652 5.968
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
GEV With Weiss Factor - Brooksville Combined  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Probability RP Hr1 Hr2 Hr6 Hr12 Hr24 Hr48 Hr72 Hr96 Hr120
0.998 500 4.344 4.968 7.669 13.488 16.917 23.449 27.515 28.417 27.381
0.995 200 4.086 4.728 7.017 11.357 13.991 18.514 21.077 21.902 21.600
0.99 100 3.872 4.522 6.510 9.911 12.059 15.448 17.236 18.000 18.040
0.98 50 3.640 4.291 5.990 8.592 10.337 12.857 14.099 14.800 15.052
0.96 25 3.388 4.031 5.455 7.384 8.799 10.660 11.528 12.170 12.539
0.9 10 3.016 3.632 4.715 5.929 6.994 8.240 8.807 9.375 9.793
0.8 5 2.694 3.272 4.113 4.903 5.759 6.687 7.134 7.649 8.048
0.667 3 2.418 2.953 3.624 4.159 4.882 5.641 6.043 6.519 6.880
0.5 2 2.154 2.640 3.178 3.541 4.168 4.823 5.215 5.659 5.974
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Weiss Factors 1.1425 1.0665 1.0212 1.0105 1.0052 1.0026 1.0017 1.0013 1.0010

 

 

 

 

 

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