Science Inventory

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useeior is an open-source R package that builds USEEIO models, a family of environmentally-extended input–output models of US goods and services used for life cycle assessment, environmental footprint estimation, and related applications. USEEIO models have gained a wide user bas...

The US EPA is collaborating with the Georgia Department of Economic Development and Georgia Tech to develop web applications for 1-2 Georgia communities that use the EPA's national life cycle model of goods and services, USEEIO. An overview including goals, logistics of participa...

The generation of municipal solid waste (MSW) in the US is increasing, putting pressure on environmental and human health. Reducing waste generation and prioritizing waste management pathways alternative to landfilling could ease the environmental burden of MSW. USEPA has develop...

The EPA has developed open-source US Environmentally-Extended Input-Output (USEEIO) models. These models combine input-output tables from the Bureau of Economic Analysis with energy and environmental data on resource use (e.g., energy, land, water) and releases of pollutants from...

The Sustainable Communities Web Challenge will expand on the US Environmentally-Extended Input-Output (USEEIO) model of goods and services and the environment, furthering tools that allow states and communities to view the positive and negative benefits of new industries and tech...

The United States Environmentally-Extended Input-Output (USEEIO) model includes commercial enterprises from 386 industrial sectors of the economy. The purpose of this work is to model the commercial generation of three streams of solid waste from USEEIO sectors: hazardous waste, ...

US states and communities that are interested using life cycle assessment (LCA) face the challenge of satisfying heavy requirements related to acquiring data/models, tools, and expertise. Although existing tools developed by EPA and others are useful for domain-specific applicati...

The US Environmental Protection Agency has created a set of open-source code packages and libraries in the realm of industrial ecology, collectively referred to as TIEM (Tools for Industrial Ecology Modeling). TIEM includes StEWI, FLOWSA, fedelemflowlist, LCIA Formatter, esupy, u...

FLOWSA is a Python package developed to streamline the attribution of resources (environmental, economic, material), emissions, and wastes (collectively called flows) to sectors, generally North American Industry Classification System (NAICS) codes. Models capture the movement of...

We propose a methodology to add new technologies into Environmentally Extended Input–Output (EEIO) models based on a Supply and Use framework. The methodology provides for adding new industries (new technologies) and a new commodity under the assumption that the new commodity wil...

An snapshot of some of the tools being developed and used primarily for life cycle assessment but also for other purposes, and, primarily in EPA/ORD/CESER. The tools are used to process primary data, build models, and serve program office and other interfaces and external tools....

The EPA SMM program required a comprehensive, directional life cycle tool applicable to national, state, and organizational scales to support the SMM tools. We developed a economic-environmental model in an established form called USEEIO, developed with the most current data avai...

Building and evaluating computational models in research or application settings is often done with computer code among a team of subject matter experts.The simultaneous rise of cloud services, the git version control system, advances in computer languages in the data science are...

The authors has led the development of an ecosystem of open source tools for use in the area of industrial ecology. This tools were developed out of a need to make more the steps of acquiring, processing and using public environmental and economic data in models more transparent ...

State governments are showing an increasing interest in the concept and application of sustainable materials management (SMM). SMM implies that a life cycle perspective be taken on materials management and environmental and social impacts of materials be taken into account in eva...

At this regular project meeting with the NEWMOA Materials and Climate group, we provide a quick overview of the original consumption-based emissions inventory approach and plan, and then provide some interim results for four states: CT, ME, NY, and VT.

An overview of the consumption-based emission inventory being performed for Maine and other northeast states, with some preliminary results for Maine.&nbsp; Many U.S. states are seeking quantitative information to inform the development of policies and plans to manage their green...

This is an introductory lecture on environmentally-extended input-output analysis (EEIO) and applications. It was prepared for professional masters students and given at the invitation of the Yale School of the Environment, and is designed accordingly. Background readings associa...

The USEPA has developed several tools for industrial ecology modeling (https://www.epa.gov/land-research/tools-industrial-ecology-modeling-tiem). These tools are developed to be transparent, user-friendly, and updateable. In this presentation we describe one of those tools, FLOWS...

FLOWSA is a Python data processing library developed to streamline the allocation of resources, emissions, wastes, and losses to economic sectors/industries, collectively called flows. Models capture flows between the environment and industries and transfers between sectors. FLOW...

Quantifying industry consumption or production of resources, wastes, emissions, and losses—collectively called flows—is a complex and evolving process. The attribution of flows to industries often requires allocating multiple data sources that span spatial and temporal scopes and...

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 se...

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 se...

FLOWSA is a Python package developed and maintained by the U.S. Environmental Protection Agency (USEPA). FLOWSA is a data processing library that attributes environmental and economic resource use, waste, emissions, and losses to U.S. industrial and final-use sectors. This presen...

Numerous approaches existing for estimating greenhouse gases associated with consumption. This presentation provided a background on these approaches as well as introduces a project to prepare consumption-based greenhouse gas inventories for northeastern US states.