Jibin Joseph
Purdue University
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ABSTRACT:
This resource is focused on generating a Curve Number (CN) Grid from two inputs, namely landuse and soil data. The landuse is reclassified from normal 15 class original NLCD raster to 4 revised classification which include Water, Medium Residential, Forest and Agricultural. Also, soil data in raster format contains four soil groups namely HSG A, B, C and D. These two raster data layers (in same projections) are combined to generate a Curve Number Grid.
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.
ABSTRACT:
This is DEM for Appomattox River. It was created on September 04, 2019 on Jupyter Notebook.
ABSTRACT:
This is a shapefile for Appomattox River . This file was provided by Course Instructor for EAPS 591 Course for downloading for this area. This resource was created on September 06, 2019.
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ABSTRACT:
This is a shapefile for Appomattox River . This file was provided by Course Instructor for EAPS 591 Course for downloading for this area. This resource was created on September 06, 2019.
ABSTRACT:
This is DEM for Appomattox River. It was created on September 04, 2019 on Jupyter Notebook.
Created: Sept. 13, 2019, 1:45 p.m.
Authors: Joseph, Jibin
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.
Created: April 23, 2020, 3:55 a.m.
Authors: Joseph, Jibin · Dey, Sayan · Merwade, Venkatesh
ABSTRACT:
This resource is focused on generating a Curve Number (CN) Grid from two inputs, namely landuse and soil data. The landuse is reclassified from normal 15 class original NLCD raster to 4 revised classification which include Water, Medium Residential, Forest and Agricultural. Also, soil data in raster format contains four soil groups namely HSG A, B, C and D. These two raster data layers (in same projections) are combined to generate a Curve Number Grid.