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Scenario Building The scenarios described were; Scenario A which is the composting of market compostable waste, Scenario B which is the recycling of institutional waste, and Scenario C which is the composting and recycling of waste in all sectors. In the 3 scenarios, household waste was assumed to increase at an average annual rate of 1.02% (same as population growth rate), while the waste from commercial establishments, institutions and the market were assumed to increase at an average annual rate of 1%. The rate of composting and recycling will increase over time. Table 3 shows the assumed percentage increment of these rates over the simulation period. Data Processing and Analysis Data were generated using the developed decision support system through Stella modeling software. Generated data were in tables and graphs for each zone. The data per zone were then processed into graphs using Microsoft Excel software and into maps using the Geographic Information Systems software. The descriptive statistics were used to analyze the processed data. Table 3. Percentage increase in diversion for the years 2007-2015 RESULT AND DISCUSSION Solid Waste Generation There were four sources of solid wastes as identified in the city government solid waste management code of Tuguegarao city. These were the households (HH), commercial establishments (CE), institutions and the markets. Of the 90,749 m3 of solid waste generated in Tuguegarao City for year 2007, bulk of it originates from the households. This reflects the high population of the city. The solid waste generation of the different sources is shown in Figure 7. 22 A Geographic Information Systems Decision-Based ..............
Figure 7. Comparison of the different sources of solid waste to the total solid waste generated The solid wastes generated in each barangay or zones were also categorized in like manner using these four sources of solid waste. The weekly generation per source was used as initial values on the stocks of household (HH), commercial establishments (CE), institutions and markets in each zone in the model. Solid Waste Composition Figure 8 shows the composition of solid waste in Tuguegarao City. Of the eleven identifiable types of waste, food waste comprised the greatest at a rate of 506 m3/wk (29%), followed by yard waste and paper at a rate of 279 m3/wk (16%). This was so because of the considerable number of fast foods and restaurants in the city. The food waste and yard waste are potential wastes for composting which implies the viability of composting project in the city. A low percentage of hazardous and special wastes were observed from households. Figure 8. Composition of solid wastes in Tuguegarao City J.B. Guzman 23
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Page 3 and 4: C V A R R D RDE Journal RESEARCH AN
Page 5 and 6: DIVERSITY STUDIES AND UTILIZATION O
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Page 13 and 14: than uninoculated treated plants. S
Page 15 and 16: evident in the non inoculated plant
Page 17 and 18: A GEOGRAPHIC INFORMATION SYSTEMS-BA
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Page 21 and 22: The volume of wastes generated was
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Page 25: Table 1. Summary of equations of th
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Page 31 and 32: for year 2015. Figure 12 shows the
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Page 47 and 48: RURAL ENTERPRISE DEVELOPMENT THROUG
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