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Created: | Sep 13, 2019 at 1:45 p.m. | |
Last updated: | Sep 13, 2019 at 3:20 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Abstract
A flood frequency table and a plot was created using the average return period (2, 5, 10, 25, 50, 100, 250 and 500 year) flow obtained using different moving window time steps. The flows corresponding to different time steps were generated using Log Pearson Type III approach. The python code for generating the flow in included in this resource. The annual peakflow data of Tippecanoe River near Ora, IN (03331500) was used for this work.
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readme.txt
Steps followed for creation of Table and Graph 1. After executing the python code, six different files corresponding to different time steps were created. 2. Open the first file corresponding to time step of 1 year in a spreadsheet software. 3. Later, the average of flow corresponding to different return period (column 3, 4, 5, 6, 7, 8, 9 & 10) were calculated. This average is the first row in the PDF file corresponding to Moving Window Analysis with Time Step of 1 year. 4. Similarly, calculate the average flow for the remaining five files as described above. 5. Further, a scatter plot graph was plotted between Peakflow calculated and return period related to six time step of analysis.
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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