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SOLID WASTE ESTIMATION AND PREDICTION
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16.1 Introduction
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This chapter discusses the process utilized to determine the signi cant variables that in uence annual solid waste quantities for the individual businesses within each of the 22 waste groups determined from the cluster analysis. The cluster analysis provided the SIC code numbers that were grouped into the 22 waste groups. A discussion and analysis of the results are also provided. A three-step process was utilized and it is listed below:
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1 Prepare and consolidate the waste records for the 22 selected waste groups for step-
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wise regression. 2 Perform stepwise regression analysis on the 22 waste groups (using Minitab). 3 Determine the signi cant variables for the 22 waste groups that in uence solid waste quantities using t-tests and F-tests at the 95 percent con dence level. The remainder of this chapter discusses an overview of the data, multivariable stepwise regression methodology, and the ndings from the analysis.
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16.2 Overview of Waste Group Data and Consolidation
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The rst step in the signi cant variable analysis was to prepare and understand the data. The waste records for each of the 22 waste groups determined from the multivariate cluster analysis were consolidated and initially analyzed to determine basic comparison statistics. Speci cally, the following items were calculated for each of the 22 waste groups and are displayed in Table 16.1.
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TABLE 16.1 DATA UTILIZED TO DETERMINE ANNUAL SOLID WASTE QUANTITIES FOR INDIVIDUAL COMPANIES FOR THE 20 WASTE GROUPS (SORTED BY AVERAGE WASTE PER COMPANY)
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262 ABB. NUMBER OF COMPANIES ANALYZED AVERAGE SOLID WASTE PER COMPANY PER YEAR (TONS) AVERAGE NUMBER OF EMPLOYEES PER COMPANY AVERAGE SOLID WASTE PER EMPLOYEE PER YEAR (TONS)
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WASTE GROUP NAME
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1 MLM FDM CHM PPM TRM FBM ELM RST MIN FDS MED HTL CON EDU REC RTL AUT ARG GOV TRN FOR 8 14 53 27 13 124 5 3 21 7 14 9 6 105.5 67.7 60.7 51.0 48.4 46.0 44.5 24.3 16.3 15.7 2.5 56.9 5.6 13 158.9 32 194.5 13 584.7 14 653.5 14 726.0 84.8 120.1 97.0 59.3 23.5 16.5 21.9 39.9 23.4 10.3 41.4 24.0 28.3 19.2 12.4 7.9 24.0 11.7 16 749.8 84.5 8 784.8 68.8 10 1313.6 123.8
Wood and lumber manufacturers
18.13 10.61 11.41 8.87 8.56 5.44 6.03 3.28 6.75 6.41 3.09 1.52 2.18 4.68 1.11 1.85 0.86 0.85 1.27 0.31 2.37 0.48
Metal manufacturers
Food manufacturers
Chemical and rubber manufacturers
Paper manufacturers and publishers
Transportation equipment manufacturers
Textile and fabric manufacturers
Electronic manufacturers
Restaurants
Mining
Food stores
Medical services
Hotels
Construction
Education
Recreation and museums
Retail and wholesale stores
Automotive sales, service, and repair
Agriculture
Commercial and government
Transportation
Forestry
OVERVIEW OF WASTE GROUP DATA AND CONSOLIDATION
1800 1600 Annual solid waste (tons) 1400 1200 1000 800 600 400 200 0 WDM MLM FDM CHM PPM TRM FBM ELM RST MIN FDS MED TRN HTL CON EDU REC RTL AUT ARG FOR GOV 22 Waste groups
Figure 16.1 (tons).
Average annual solid waste per company
The average annual waste per company in the waste group The average number of employees per company in each waste group The average annual solid waste per company per employee in each waste group
As shown in the table, manufacturing companies generate more average waste per company than service companies. The bar charts in Figs. 16.1 and 16.2 compare the waste groups.
Annual solid waste per employee (tons)
20 18 16 14 12 10 8 6 4 2 0 WDM FDM MLM CHM PPM RST MIN FBM TRM CON ELM FDS TRN HTL REC MED ARG EDU RTL AUT FOR GOV 22 Waste groups
Figure 16.2 Average annual solid waste per employee per waste group (tons).
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Before conducting the stepwise regression analysis, waste groups with ve or less samples were removed from the study. This was done to properly establish relationships among the variables, because sample sizes of less than ve could indicate strong relationships when they do not actually exist. Owing to less than ve samples, two waste groups were removed from the study: the forestry waste group and the motor freight and transportation waste group. This reduced the number of waste groups from 22 to 20. The next section discusses the process to determine the signi cant independent variables that aid in the prediction of annual solid waste for each waste group.
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