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Model Inputs Gathered data from U.S. businesses and government agencies to be analyzed
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Model Development Characterize U.S. businesses and government agencies based on SIC codes and solid waste compositions to determine waste groups (multivariate cluster analysis)
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Solid Waste Group 1 Quantify annual solid waste generation (multivariable regression analysis)
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Evaluate businesses and government agencies by establishing performance parameters
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Model Outputs Characterization and classification of U.S. businesses and government agencies that generate similar solid waste compositions Determination of significant variables that influence solid waste quantities Prediction and evaluation of annual solid waste generation Evaluation of solid waste generation rates by establishing evaluation parameters
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Methodology framework.
Figure 13.1 provides a visual representation of the methodology framework. This diagram emphasizes the analyses and concepts that were integrated to develop the environmental model, as discussed in the previous chapter.
DATA COLLECTION
14.1 Introduction
A data collection procedure was established to determine the required data types and quantities of data to collect. The data collection procedure focused on ef cient and effective gathering of the required data. This chapter provides a detailed discussion of the data collection conducted for creating the waste generation model. The remaining sections of this chapter discuss
The required data types to develop the integrated model Data collection process and survey instrument The data collection results and discussion Existing data collection discussion
14.2 Required Data Types
To begin the data collection process, the types of data required to develop the integrated environmental waste generation model were determined. Since the model investigates the solid waste generation of individual companies and government agencies, annual solid waste records of individual companies and other relevant data were identi ed for collection. The dependent variable to be investigated was annual solid waste generation of U.S. businesses and government agencies. Speci cally, the following data was collected:
Total annual solid waste generation (tons) Major materials disposed (type and tons) Major materials recycled (type and tons)
DATA COLLECTION
Speci c solid waste material types that were investigated are
Aerosol cans Aluminum (cans, scrap, sheet, other) Batteries (lead acid and household) Biomedical (hazardous) Concrete and cement Composite construction and demolition debris (concrete, wood, etc.) Fabric Food waste Glass (bottles and scrap) Lamps and ballasts Metal scrap (ferrous and nonferrous) Nonhazardous chemicals Old corrugated containers (cardboard) Paint Paper (newspaper, white ledger, mixed of ce paper, etc.) Plastics (No. 1, PETE; No. 2, HDPE; No. 3, PVC; No. 4, LDPE; No. 5, PP; No. 6, PS; No. 7, Other) Rubber Sludge Stone, clay, or sand Used oil Wood
The independent variables hypothesized to predict the annual solid waste generation of U.S. businesses and government agencies is displayed in the following list. A brief note on the reason each potential independent variable was selected is provided in the list.
Standard Industry Classi cation (SIC) code Collected to classify each business
process and aid in the prediction of waste stream composition (a complete list can be found in Sec. 14.2.1 of this chapter). Brief description of the business Collected to supplement SIC code and classify businesses based on processes, this information was also useful to determine SIC codes not supplied or identify incorrect SIC codes. Number of employees at the facility Collected to predict the poundage of solid waste streams generated. Working days at the facility per year Collected to predict the poundage of solid waste streams generated. Overall recycling percentage for the facility Collected to examine the effects for waste reduction on overall waste reduction (derived from reported data). Land ll disposal cost per ton Collected to predict the poundage of solid waste streams generated (in terms of dollars per ton to dispose).
REQUIRED DATA TYPES
ISO 9000 registration (if yes, date received) Collected to predict the poundage of
solid waste streams generated. ISO 14000 registration (if yes, date received) Collected to predict the poundage of solid waste streams generated. U.S. state of operation Collected to examine the effects of varying environmental regulations among states. The sources from which the variables were identi ed are as follows:
Literature review (related previous studies on aggregate waste generation) Survey of the industry (consulted leading U.S. waste management experts) The researcher s experience and previous research
The potential independent variables were believed to aid in the prediction of solid waste because of their relationship to waste compositions and quantities. Many were obvious, such as number of employees and business type, while others, like environmental certi cations and land ll-disposal costs, were hypothesized based on information from the literature review. SIC codes were used as the basis to de ne business functions for each company. SIC codes were chosen as the basis to group companies to characterize solid waste because
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