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An Indicator of Solid Waste Generation Potential for Illinois Using Principal Components Analysis and Geographic
M D Dallas1, R G Kerzee, J Bing-Canar
1a School of Public Health, Environmental and Occupational Health Sciences, University of Illinois at Chicago , Chicago , Illinois.
A new indicator for solid waste generation potential (SWGP) aids integrated waste management planning. This tool uses socioeconomic data to predict waste streams and identify critical regions for better refuse management.
Area of Science:
- Environmental Science
- Urban Planning
- Data Science
Background:
- Integrated solid waste (SW) management plans require accurate data on waste generation.
- Existing methods for estimating solid waste generation (SWG) may lack comprehensive regional insights.
Purpose of the Study:
- To propose a versatile indicator for solid waste generation potential (SWGP) to aid in developing integrated SW management plans.
- To correlate socioeconomic variables with SW stream characteristics for a specific region.
Main Methods:
- Principal Components Analysis (PCA) was employed to merge rank-transformed socioeconomic variables into a single SWGP indicator.
- Ordinal scaling was utilized for diverse socioeconomic variables to maintain regional information.
Main Results:
- The proposed SWGP indicator was found to be directly proportional to a composite variable representing the SW stream in Illinois.
- Geographic Information Systems (GIS) can visualize the spatial distribution of SWGP, highlighting critical regions.
Conclusions:
- The SWGP indicator offers a novel approach to understanding and predicting solid waste generation patterns.
- This indicator can assist planners in visualizing refuse generation and validating reported SWG quantities.
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