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amount of waste for compost and the rate of
how this waste were converted. The stock of
solid waste collected was linked to the disposed
rate using information on the rate of collection
and disposal. The stock of unmanaged waste
was linked to the stock of littered waste using
information on the volume of uncollected solid
waste and burning rate.
The valve controls the flow of waste
getting in and out of the stocks as affected by
the auxiliary variables. The accumulation or
reduction of the stock of waste is dependent on
the auxiliary variables.
Formalizing the Model
The model was formalized by translating
the rate variables into mathematical equations,
by assigning initial values to the stocks, and
by quantifying the auxiliary variables. Table 4
summarized the mathematical equations of the
rate variables.
Running the Model and Adjusting
Deviations
After the model was formalized and
the equations and coefficients were entered,
the model was then run. The behavior of
the simulated data was observed then was
compared to the real situations to examine for
deviations. Deviations were adjusted and the
model was calibrated for data precision. After
which the model was then ready to simulate
solid waste management scenarios.
Figure 5. Causal Loop Diagram of Solid Waste Flow in Tuguegarao City
Model Validation
The model was validated by observing the actual
number of dumping by the garbage trucks
for a period of two months. The average weekly
actual disposed waste was obtained by getting
J.B. Guzman
the mean of the seven days dumping. The average
weekly actual volume of waste disposed
was then compared with the simulated volume
of waste disposed. Test of significant difference
was done using t-Test.
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