Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (email@example.com) for information on this resource.|
|Storage:||The size of this resource is 79.7 KB|
|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|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
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.
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.
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/