heavy rain as a function of the duration and the return period acc. to DWA-A 531 (2012)
Project description
© Institute of Urban Water Management and Landscape Water Engineering, Graz University of Technology and Markus Pichler
Intensity duration frequency analysis (based on KOSTRA)
heavy rain as a function of the duration and the return period acc. to DWA-A 531 (2012) This program reads the measurement data of the rainfall and calculates the distribution of the rainfall as a function of the return period and the duration for duration steps up to 12 hours (and more) and return period in a range of '0.5a ≤ T_n ≤ 100a'
This package was originally developed from Markus Pichler's bachelor thesis and was finalised in the course of his employment at the Institute of Urban Water Management and Landscape Water Engineering.
Install
The script is written in Python3.
Windows
I recommend to use Anaconda to install python on Windows and the Anaconda-Prompt for the commandline tool.
Alternatively, you can install the original python from the website. To use the syntax explained in the usage section below, you have to add the path to your python binary to the environment variables. This is an option in the installation window as seen below:
- Add Python 3.7 to PATH
Linux/Unix
Python is pre-installed on most operating systems.
python Packages
Packages required for this program will be installed with pip during the installation process and can be seen in the 'requirements.txt' file.
Fresh install
pip install idf-analysis
To install the package only for the local user account, add --user
to the install command.
Update package
To update the package, add --upgrade
to the install command.
pip install idf-analysis --upgrade
Usage
To start the script use following commands in the terminal/Anaconda Prompt
Windows:
python -m idf_analysis
Unix-Like:
idf_analysis
Commandline tool
idf_analysis -h
usage: idf_analysis [-h] -i INPUT [-out OUTPUT] [-t {>= 0.5 a and <= 100 a}]
[-d {>= 5 min and <= 720 min}] [-h_N {>= 0 mm}]
[-ws {ATV-A_121,DWA-A_531,DWA-A_531_advektiv}]
[-kind {partial,annual}] [--r_720_1] [--plot]
[--extended_duration] [--export_table] [--unix]
optional arguments:
-h, --help show this help message and exit
-i INPUT, --input INPUT
input file with the rain time series
-out OUTPUT, --output OUTPUT
output path, where to write the results / default:
same as input
-t {>= 0.5 a and <= 100 a}, --return_period {>= 0.5 a and <= 100 a}
return period in years (If two of the three variables
(rainfall, duration, return period) are given, the
third variable is calculated.)
-d {>= 5 min and <= 720 min}, --duration {>= 5 min and <= 720 min}
duration in minutes (If two of the three variables
(rainfall, duration, return period) are given, the
third variable is calculated.)
-h_N {>= 0 mm}, --height_of_rainfall {>= 0 mm}
rainfall in mm or Liter/m^2 (If two of the three
variables (rainfall, duration, return period) are
given, the third variable is calculated.)
-ws {ATV-A_121,DWA-A_531,DWA-A_531_advektiv}, --worksheet {ATV-A_121,DWA-A_531,DWA-A_531_advektiv}
Worksheet used to calculate.
-kind {partial,annual}, --series_kind {partial,annual}
The kind of series used for the calculation.
Calculation with partial series is more precise
--r_720_1 design rainfall with a duration of 720 minutes (=12 h)
and a return period of 1 year
--plot get a plot of the idf relationship
--extended_duration add [720, 1080, 1440, 2880, 4320, 5760, 7200, 8640]
(in minutes) to the duration steps which will be
calculated
--export_table get a table of the most frequent used values
--unix export the csv files with a "," as separator and a "."
as decimal sign.
Example
Result table
0.5 | 1.0 | 2.0 | 3.0 | 5.0 | 10.0 | 15.0 | 50.0 | 100.0 | |
---|---|---|---|---|---|---|---|---|---|
5 | 2.896502 | 4.531663 | 6.166823 | 7.123331 | 8.328387 | 9.963548 | 10.920055 | 13.760272 | 15.395433 |
10 | 5.309142 | 7.519352 | 9.729563 | 11.022454 | 12.651303 | 14.861514 | 16.154404 | 19.993464 | 22.203675 |
15 | 7.001011 | 9.637280 | 12.273549 | 13.815667 | 15.758507 | 18.394775 | 19.936894 | 24.516002 | 27.152271 |
20 | 8.229495 | 11.216989 | 14.204483 | 15.952055 | 18.153735 | 21.141229 | 22.888801 | 28.077975 | 31.065469 |
30 | 9.852722 | 13.416110 | 16.979497 | 19.063945 | 21.690039 | 25.253426 | 27.337874 | 33.527355 | 37.090743 |
45 | 11.182970 | 15.433265 | 19.683560 | 22.169823 | 25.302143 | 29.552438 | 32.038701 | 39.421316 | 43.671611 |
60 | 11.871244 | 16.687797 | 21.504351 | 24.321854 | 27.871488 | 32.688041 | 35.505544 | 43.871732 | 48.688285 |
90 | 13.636861 | 18.657189 | 23.677518 | 26.614222 | 30.314031 | 35.334359 | 38.271063 | 46.991201 | 52.011529 |
180 | 17.188203 | 22.577053 | 27.965902 | 31.118177 | 35.089574 | 40.478424 | 43.630698 | 52.990945 | 58.379794 |
270 | 19.624622 | 25.241459 | 30.858296 | 34.143934 | 38.283350 | 43.900187 | 47.185826 | 56.942078 | 62.558915 |
360 | 21.536055 | 27.320477 | 33.104900 | 36.488570 | 40.751490 | 46.535912 | 49.919582 | 59.966925 | 65.751347 |
450 | 23.132458 | 29.050305 | 34.968153 | 38.429872 | 42.791122 | 48.708969 | 52.170688 | 62.449785 | 68.367633 |
600 | 25.348627 | 31.443040 | 37.537454 | 41.102458 | 45.593832 | 51.688245 | 55.253249 | 65.839037 | 71.933450 |
720 | 26.851460 | 33.060492 | 39.269525 | 42.901576 | 47.477419 | 53.686451 | 57.318502 | 68.103378 | 74.312410 |
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