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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.
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A Geographic Information Systems Decision-Based ..............