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Perfluoroalkyl Substances Systems Analysis Tool Input Data (PFAS_SAT_InputData)

Project description

Perfluoroalkyl Substances Systems Analysis Tool Input Data(PFAS_SAT_InputData)

https://img.shields.io/pypi/v/PFAS_SAT_InputData.svg Supported Python Versions License Format

Objectives

  • The objective of this project was to develop a comprehensive systems analysis tool (SAT) to estimate PFAS release associated with management alternatives for a wide range of PFAS-containing wastes.

Features

  • Through this project, we have established an analytical framework to rigorously describe alternatives for the management of individual PFAS-containing wastes, and to quantify interrelationships between individual PFAS-containing wastes and their treatment alternatives.
  • The SAT estimates PFAS release to a receiving medium (air, surface water, groundwater, soil) as well as the storage of PFAS in a process (e.g., landfill, injection well) or product (e.g., thermally reactivated carbon).
  • The SAT includes process models for multiple treatment and disposal alternatives to estimate PFAS release as a function of the mass, composition, and properties of the waste managed.

Installation

You should install Python (3.7 or newer) and Graphviz before installing the PFAS_SAT. We recommend to use miniconda and create a new environment for the PFAS_SAT but it’s not required. Here are PFAS_SAT dependencies: (These packages are available on PyPI).

  1. PySide2: Used for creating the user interface.
  2. stats-arrays: Used for defining uncertainty distributions.
  3. plotly: Used for plotting Sankey diagrams.
  4. matplotlib: Used for data visualization.
  5. graphviz: Used for plotting the Network.
  6. pandas: Used for storing data in tables and manipulating them.
  7. jupyter: Used as a command-line interface.

Here are the instructions to install PFAS_SAT with miniconda:

1- Download and install miniconda from: https://docs.conda.io/en/latest/miniconda.html

2- Update conda in a terminal window or anaconda prompt:

conda update conda

3- Create a new environment for PFAS_SAT:

conda create --name PFAS_SAT python=3.7 graphviz

4- Activate the environment (Windows users):

conda activate PFAS_SAT

Note: If you are using Linux or macOS:

source activate PFAS_SAT

5- Install PFAS_SAT in the environment:

pip install PFAS_SAT

6- Only for Windows user (If you are using Linux or macOS, go to the next step). Make sure that bin/ subdirectory of Graphviz which contains the layout commands for rendering graph descriptions (dot) is on your system path: On the command-line, dot -V should print the version of your Graphviz.

7- Open python to run PFAS_SAT:

python

8- Run PFAS_SAT in python:

import PFAS_SAT_InputData as ps
ps.PFAS_SAT()

History

0.1.0 (2020-08-04)

  • First release on PyPI.

Project details


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