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Figure 8 showed the waste composition in households, commercial establishments, institutions and the markets. Among household waste yard waste was the highest at 214.2 cu m/wk or 21% followed by other organics and food wastes at 153 cu m/wk or 15% and 133 cu m/wk 13%, respectively. The high percentage of yard wastes reflected the lifestyle of the city residents who were fond of ornamental gardening and having wide residential land areas. Among the identified waste from commercial establishments, food waste and yard waste at 93 cu m/wk or 24% were the highest. The high percentage of food waste was an indicative of the numerous numbers of fast foods and restaurants in the city. Papers and yard waste were the highest from institutions at 42 cu m/wk or 33% and 26 cu m/wk or 21%, respectively. This was so because Tuguegarao City is the center of Region 02 and that most of the regional offices were operated within the City. Most of the waste from the market was identified as food waste at 127 cu m/wk or 62%. These wastes were fruits and vegetables scrap removed prior to sale. Decision Support System Validation The DSS was validated by getting the actual number of daily dumping by the garbage trucks from September 2008 to February 2009. The actual volume of waste disposed per week was then compared with the simulated volume of waste disposed. Test of significant difference was done using t-Test. Result of t-Test revealed that there is no significant difference between the simulated and actual quantities of waste disposed as shown in Table 4. Table 4. t-Test result on the simulated and actual volume of waste disposed Scenario Simulation Scenario A – Composting Market Waste There were three scenarios of practical importance on solid waste recovery in Tuguegarao City that were chosen for simulation. The high volume of compostable waste in the market leads the formulation of Scenario A, which is composting the market waste and the considerable volume of recyclable waste in the institutions leads to the formulation of Scenario B, which is the recycling of institutional waste. The idea of looking the impact of composting and recycling in all sectors was the basis of formulating Scenario E, which is the composting and recycling waste from households, commercial establishments, institutions and the markets. Scenario A characterized what would happen if the city government would want to push a project on composting market waste. If Scenario A will be imposed, of the 843,600 m3 of accumulated waste generated by year 2015 or for a period of eight years, 676,700 m3 will be all disposed off in the dumpsite. Nevertheless, because of the composting project there will be 65,900 m3 recovered compostable waste for a period of 8 years or an equivalent volume of recovered compostable waste from 100 m3/wk to 237 m3/wk on year 2015. Figure 9 shows the trend in the cumulative volume of solid waste as simulated under Scenario C. 24 A Geographic Information Systems Decision-Based ..............
Figure 9. Simulated cumulative volume of solid waste under Scenario A Scenario B – Recycling Institutional Waste Scenario B characterized what would happen if individuals in the different institutions will have their waste recycled. If Scenario B will be imposed, of the 843,600 m3 of accumulated waste generated until year 2015 or for a period of eight years, 671,114 m3 will be all disposed off in the dumpsite. Nevertheless, because of the recycling project there will be 88,021 m3 recovered recyclable waste for a period of 8 years or an equivalent volume of recovered recyclable waste from 185 m3/wk to 225 m3/wk on year 2015. Figure 10 shows the trend in the cumulative volume of solid waste as simulated under Scenario B. Figure 10. Simulated cumulative volume of solid waste under Scenario B J.B. Guzman 25
Page 1 and 2: RESEARCH PAPERS Diversity Studies a
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 11 and 12: in Malabing Valley like rampant usa
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
Page 23 and 24: amount of waste for compost and the
Page 25 and 26: Table 1. Summary of equations of th
Page 27: Figure 7. Comparison of the differe
Page 31 and 32: for year 2015. Figure 12 shows the
Page 33 and 34: The practice of treating uncollecte
Page 35 and 36: GIBBONA, Scott. 2000. Mirzapur: A G
Page 37 and 38: addressing individual clients’ re
Page 39 and 40: Fertility Mapping Soil samples coll
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Page 45 and 46: farmer-students were motivated to b
Page 47 and 48: RURAL ENTERPRISE DEVELOPMENT THROUG
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Page 51 and 52: 1 Table 1. List of some technologie
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Page 59 and 60: Stall-feeding On stall feeding, ani
Page 61 and 62: Generally, the effect of upgrading
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