Multiple flow direction floods hydrodynamic modelation
Project description
MFD Floods
A python script to model hidrologic behavior of downstream drainpaths. With a DTM cover of your study area you can define longitude and latitude (in the DTM distance unit) as a start point and an income flow to see how the water will flood the territory.
Installation
With pip pip install mfdfloods
From source python -m pip install -r /path/to/mfdfloods/directory
Dependencies
The script requires GDAL installed on your system and python-gdal as a python dependency.
To install GDAL execute apt install gdal-bin libgdal-dev
.
Module
Execute .py from inside the folder to test the algorithm.
The test.py is a script that call the class MFD and execute its modelization with
the datasource from the data/
folder. There you have to place your GeoJSON files
with the modelized line geometry.
python test.py <path:data> <lng:float> <lat:float>
Arguments:
- data is the pathname of the data directory. There you have to place a
dtm.tif
, amannings.tif
and ahydrogram.csv
files. - lng is the longitude in your reference dtm distance units.
- lat is the latitude in your reference dtm distance units.
The output will be placed in your data floder as three files with the name (draft|flood|speed)_{lng}-{lat}.tif.
Use
Include mfdfloods as a module on your scripts with from mfdfloods import MFD
then instantiate the class MFD to execute its drainpaths method.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for mfdfloods-0.1.29-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8382f44974a0e86fb6fdb1df44280bd1d3306de3bc53284977a25ac28b0fad2d |
|
MD5 | 592d8d7d7a696f295ae8da942f7fb30b |
|
BLAKE2b-256 | 6554316976e1863d8ed1026eda6dc13b72d51433c5e6215bcf25e61ad236e1c5 |