Water resources management model based on hydrological and hydronimic models
Project description
MOGESTpy
Table of Contents
What is MOGESTpy?
MOGESTpy is an acronym for Modelo de Gestão de Recursos Hídricos (in English: Water Resources Management Model) developed in the Python3 programming language.
Water Resources Management Model
A management model uses water quantity and quality modeling tools to assist in decision-making. This modeling is done through simulation models where natural processes are represented from precipitation in the watershed area to its transport in rivers and channels to the watershed's outlet.
Models used in MOGESTpy
The models used in MOGESTpy include:
For more details, check the documentation within the repository.
Repository Structure
The repository is divided into three main parts: quality models (Quality), quantitative models (Quantity), and simulation data for testing and examples of how each module works (Datasets).
MOGESTpy
├─ Datasets
│ └─ Results
├─ Quality
│ ├─ BuWo.py
│ └─ ZeroD.py
└─ Quantity
├─ Hydrological
│ ├─ SMAP.py
│ ├─ Muskingum.py
│ └─ MassBalance.py
└─ Hydrodynamic
└─ SIHQUAL.py
How to Use MOGESTpy?
Installing MOGESTpy
Using the following command, you can install MOGESTpy via pip:
pip install mogestpy
Alternatively, you can clone the repository and install the package locally:
pip install .
How to Contribute to the Project?
To contribute to the project, simply create an issue. Code additions are welcome; just follow our contributing document.
| Acknowledgments |
|---|
| Laboratory of Decision Support Systems |
Project details
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mogestpy-1.0.0.tar.gz.
File metadata
- Download URL: mogestpy-1.0.0.tar.gz
- Upload date:
- Size: 18.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.12.2 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e72a681e5fb5113c64063149011302f4e337a2e56d73c9fa64f453c21a18708a
|
|
| MD5 |
6d872abaa13b19dc1a37b656a5763190
|
|
| BLAKE2b-256 |
14b29d8ddd6699c1b83132365c7a8e3bd1cf1a6edae3ec31f3f1daf5215a2420
|
File details
Details for the file mogestpy-1.0.0-py3-none-any.whl.
File metadata
- Download URL: mogestpy-1.0.0-py3-none-any.whl
- Upload date:
- Size: 22.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.12.2 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
27e342396f4f8d0623b585dd1529accb0b6bc67b22071ef28c271ae188d47bc3
|
|
| MD5 |
20416b04e3b83e5c83ca0ef6ab0116dc
|
|
| BLAKE2b-256 |
f2be1e260e95bb8cf1cce41f0b8d2780ac40c4036b16cc0e3fafb239ff6d7ff8
|