Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health Risks

Background: The cement industry is one of the main contributors of pollutant gasses in the environment through stack emissions. Aim: This study aims to model the dispersion of SO2 and NO2 gasses and to determine the area of the dispersion by American Meteorological Society – Environmental Protecti...

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Main Authors: Erwin Azizi Jayadipraja, Anwar Daud, Alimuddin Hamzah Assegaf, Maming Maming
Format: Article
Language:English
Published: YCAB Publisher 2016-03-01
Series:Public Health of Indonesia
Subjects:
Online Access:https://stikbar.org/ycabpublisher/index.php/PHI/article/view/41
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author Erwin Azizi Jayadipraja
Anwar Daud
Alimuddin Hamzah Assegaf
Maming Maming
author_facet Erwin Azizi Jayadipraja
Anwar Daud
Alimuddin Hamzah Assegaf
Maming Maming
author_sort Erwin Azizi Jayadipraja
collection DOAJ
description Background: The cement industry is one of the main contributors of pollutant gasses in the environment through stack emissions. Aim: This study aims to model the dispersion of SO2 and NO2 gasses and to determine the area of the dispersion by American Meteorological Society – Environmental Protection Agency Regulation Model or AERMOD has been utilized by PT. Semen Tonasa (Tonasa Cement, Ltd.). Methods: Meteorological data from AERMENT was collected from reanalysis of MM5 data. While topographical data was extracted from SRTM30 satellite data. The model was carried out for a year, to cover both the dry and rainy season. Results: The result of the modeling showed that the peak value of the concentration of SO2 and NO2 pollutants for one hour are 135 μg/m3 and 160 μg/m3 respectively (quality standards of SO2 and NO2 are 900 μg/Nm3 and 400 μg/Nm3). The area of dispersion tends to be in the eastern area, such as District Minasatene (Sub-district Bontoa, Kalabbirang, Minasatene dan Biraeng), District Bungoro (Sub-district Biringere, Sapanang, Mangilu, Bulu Tellue) and District Labakkang (Sub-district Taraweang).  Key words: Spatial analysis, AERMOD, AERMOD, cement factory, exposed area, SO2 and NO2
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institution Kabale University
issn 2528-1542
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publishDate 2016-03-01
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series Public Health of Indonesia
spelling doaj-art-68b74a4e20654881826acd0920d9417c2025-08-20T03:44:52ZengYCAB PublisherPublic Health of Indonesia2528-15422477-15702016-03-012110.36685/phi.v2i1.4129Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health RisksErwin Azizi JayadiprajaAnwar Daud0Alimuddin Hamzah Assegaf1Maming Maming2Center for Environmental Studies (CES), Hasanuddin University, Indonesia Faculty of Public Health, Hasanuddin University, IndonesiaCenter for Environmental Studies (CES), Hasanuddin University, Indonesia Faculty of Mathematic and Science, Hasanuddin University, IndonesiaCenter for Environmental Studies (CES), Hasanuddin University, Indonesia Faculty of Mathematic and Science, Hasanuddin University, Indonesia Background: The cement industry is one of the main contributors of pollutant gasses in the environment through stack emissions. Aim: This study aims to model the dispersion of SO2 and NO2 gasses and to determine the area of the dispersion by American Meteorological Society – Environmental Protection Agency Regulation Model or AERMOD has been utilized by PT. Semen Tonasa (Tonasa Cement, Ltd.). Methods: Meteorological data from AERMENT was collected from reanalysis of MM5 data. While topographical data was extracted from SRTM30 satellite data. The model was carried out for a year, to cover both the dry and rainy season. Results: The result of the modeling showed that the peak value of the concentration of SO2 and NO2 pollutants for one hour are 135 μg/m3 and 160 μg/m3 respectively (quality standards of SO2 and NO2 are 900 μg/Nm3 and 400 μg/Nm3). The area of dispersion tends to be in the eastern area, such as District Minasatene (Sub-district Bontoa, Kalabbirang, Minasatene dan Biraeng), District Bungoro (Sub-district Biringere, Sapanang, Mangilu, Bulu Tellue) and District Labakkang (Sub-district Taraweang).  Key words: Spatial analysis, AERMOD, AERMOD, cement factory, exposed area, SO2 and NO2 https://stikbar.org/ycabpublisher/index.php/PHI/article/view/41Spatial analysisAERMODcement factoryexposed areaSO2 and NO2
spellingShingle Erwin Azizi Jayadipraja
Anwar Daud
Alimuddin Hamzah Assegaf
Maming Maming
Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health Risks
Public Health of Indonesia
Spatial analysis
AERMOD
cement factory
exposed area
SO2 and NO2
title Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health Risks
title_full Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health Risks
title_fullStr Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health Risks
title_full_unstemmed Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health Risks
title_short Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health Risks
title_sort applying spatial analysis tools in public health the use of aermod in modeling the emission dispersion of so2 and no2 to identify exposed area to health risks
topic Spatial analysis
AERMOD
cement factory
exposed area
SO2 and NO2
url https://stikbar.org/ycabpublisher/index.php/PHI/article/view/41
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