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Analyzing Economy-Scale Solid Waste Generation Using the United States Environmentally-Extended Input-Output Model
David E Meyer1, Mo Li2, Wesley W Ingwersen1
1U.S. Environmental Protection Agency, National Risk Management Research Laboratory, Cincinnati, OH 45338.
The United States Environmentally-Extended Input-Output (USEEIO) model quantifies commercial solid waste, revealing construction and chemical industries as key generators. This data aids in identifying areas for waste reduction interventions.
Area of Science:
- Environmental Economics
- Industrial Ecology
- Waste Management
Background:
- The United States Environmentally-Extended Input-Output (USEEIO) model provides a comprehensive economic framework.
- Accurate quantification of waste generation across diverse industrial sectors is crucial for effective environmental policy and resource management.
Purpose of the Study:
- To model the generation of hazardous, non-hazardous, and construction and demolition waste streams from 386 commercial sectors within the USEEIO model.
- To identify key industries and consumption patterns contributing to solid waste generation.
Main Methods:
- Utilized the USEEIO model to track 536 waste materials across 386 economic sectors.
- Analyzed waste generation based on 2015 economic activity data.
- Differentiated waste streams including hazardous, non-hazardous, and construction/demolition debris.
Main Results:
- Total combined waste generation reached approximately 775 million metric tons in 2015, with construction materials (concrete) comprising 44% of the mass.
- Chemical and plastics industries showed the highest hazardous waste generation per economic output.
- Paper, plastic, and metals were generated in greater quantities per dollar of output compared to construction materials and hazardous waste.
Conclusions:
- Direct waste generation highlights highway/street construction and chemical manufacturing for innovation.
- Considering final consumption shifts focus to construction industries and government sectors.
- Publicly available waste models will enhance future USEEIO releases, supporting informed decision-making for waste reduction.
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