Science Inventory

FLOWSA: An open-source python package for estimating direct US industry resource use, waste, emissions, and other flows

Citation:

Birney, C., B. Young, M. Li, M. Conner, J. Specht, AND W. Ingwersen. FLOWSA: An open-source python package for estimating direct US industry resource use, waste, emissions, and other flows. ICOSEE 10th International Congress on Sustainability Science & Engineering, NA, N/A, September 13 - 15, 2021.

Impact/Purpose:

The objective is to present FLOWSA at the ICOSSE 2021 conference. FLOWSA is a python package that attributes environmental and other flows to industries. Environmental researchers might be interested in our tool to streamline and standardize allocation methods. The benefits of FLOWSA are that it is open-source and continually updated, allowing for reproducible and transparent sector attribution models. 

Description:

FLOWSA is a python software package developed to streamline the allocation of resources (environmental, monetary, and human), emissions, wastes, and losses to industries. Allocation models capture flows between the environment and industries and flow transfers between industry sectors. FLOWSA imports and formats publicly available data and provides a means of attributing primary data sources to US industries using secondary data sources and a user-defined method. Users can adjust methodological, geographical, and temporal parameters to calculate resource use by industry. Users access the most up-to-date code and data via a GitHub repository, enabling transparent and reproducible model results. FLOWSA is a convenient tool for the exploration and comparison of industry attribution models. This presentation will demonstrate FLOWSA's modeling flexibility for resource management by highlighting models and results for water, land, and employment US industry use.

URLs/Downloads:

FLOWSA_ AN OPEN-SOURCE PYTHON PACKAGE_ ICOSSE 2021 (1).PDF  (PDF, NA pp,  782.936  KB,  about PDF)

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:09/15/2021
Record Last Revised:03/17/2022
OMB Category:Other
Record ID: 354369