SENSITIVITY TEST OF AIR POLLUTION DISPERSION MODELING FROM CHIMNEY POINT SOURCE OF SUGAR FACTORY X IN BANYUWANGI DISTRICT WITH CALPUFF MODELING APPLICATION
Air pollutant dispersion modeling is often applied as a decision support tool in air quality control and emission reduction. The CALPUFF application is a non-steady state Gaussian puff dispersion modeling software that operates in the Lagrangian coordinate system. Pollutant dispersion modeling...
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Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/62399 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Air pollutant dispersion modeling is often applied as a decision support tool in air quality
control and emission reduction. The CALPUFF application is a non-steady state Gaussian puff
dispersion modeling software that operates in the Lagrangian coordinate system. Pollutant
dispersion modeling in CALPUFF depends temporally and spatially on various emission,
geophysical, and meteorological parameters with various computations in it. Sensitivity tests
were carried out on modeling in order to identify the effect of input parameters on the modeled
output of pollutant concentrations so that control strategies can be applied to these input
parameters. The modeling was carried out at the chimney point source of the sugar factory X
in Glenmore sub-district, Banyuwangi district, which emits particulate dust pollutants in large
quantities compared to other pollutants. Based on the sensitivity analysis carried out, the order
of sensitive parameters in reducing the maximum pollutant concentration modeled are
reduction in emission load (sensitive; 99.894), increase of ambient air temperature (quite
sensitive; 59.662%), enlargement of the inside diameter of the chimney (not quite sensitive;
31,432%), increase of the height of chimney (not sensitive; 24,745%), and the increase of exit
gas velocity from chimney (not sensitive; 17,232%), can be considered by the owner of factory
X in optimizing the dispersion of pollutants in the atmosphere. |
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