STUDY OF USING AERMOD MODEL FOR WPPMU (AIR QUALITY PROTECTION AND MANAGEMENT AREA) IN THE DRY SEASON (CASE STUDY: BANDUNG CITY)
The use of transportation, industrial and other economic activities have increased the impact of air pollution in the city of Bandung. The impact of air pollution can potentially increase absolute mortality and cancer in humans. For this reason, efforts to control air pollution in the city of Ban...
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Teknik saniter dan perkotaan; teknik perlindungan lingkungan Saro Manalu, Yeni STUDY OF USING AERMOD MODEL FOR WPPMU (AIR QUALITY PROTECTION AND MANAGEMENT AREA) IN THE DRY SEASON (CASE STUDY: BANDUNG CITY) |
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The use of transportation, industrial and other economic activities have increased
the impact of air pollution in the city of Bandung. The impact of air pollution can
potentially increase absolute mortality and cancer in humans. For this reason,
efforts to control air pollution in the city of Bandung need to be carried out,
including by preparing the WPPMU (Air Quality Protection and Management
Area). WPPMU aims to analyze air pollution and the factors that influence it in a
city by looking at smaller areas/areas, knowing which areas are the most polluted
and have the highest priority for control. There are 2 (two) factors analyzed, namely
the vulnerability factor which is obtained from the results of the average value of 5
variables, namely the variables of population density, landscape, elevation, wind
speed and land use. And the hazard factor obtained the results of the average value
of 2 variables, namely the variable emissions and concentration of air pollution in
the city of Bandung. The value of the risk score is obtained from the addition of two
factors of vulnerability and hazard. Air quality in an area is determined by
emissions, meteorological conditions, topographical conditions and the level of
dispersion in the area. The pollutant parameters studied were SO2, NO2 and PM10.
To determine the level of dispersion, in this study, AERMOD and ArcGIS software
were used. This study uses emission load inventory data for the City of Bandung in
2015 from point source types (malls/world centers, hotels, and hospitals/clinics),
area sources (markets), line sources (land transportation) and LPG fuel primary
consumption data. from residential sources, then the data sources are projected to
2020. The city of Bandung is divided into 167 areas with an area of 1 km x 1 km.
The results of data collection in the city of Bandung using the interview method
collected 145 respondents where the average consumption of LPG fuel from
residential sources was 4.7 kg/month/person. The simulation results of the
AERMOD model from 195 emission sources in the form of roads are the dispersion
of SO2, NO2 and PM10 air pollutants during the dry season in cities from the Southeast to the Northwest following the dominant wind direction pattern and the
maximum concentrations respectively are 49.24 µg/m3
, 87.60 µg/m3
and 256.33
µg/m3
. The maximum concentration occurred in 4 administrative sub-districts
namely Rancasari, Bojongloa, Sukasari and Regol sub-districts. The results of the
model show that the air quality of the city of Bandung with PM10 air pollution
exceeds the ambient air quality standards in PP No. 22 of 2021 as many as 5 grids
that fall into 5 sub-district administrations, namely Bojongloa Kidul, Astana Anyar,
Regol, Lengkong, Bandung Kidul, Babakan Ciparay and Bandung Kulon except for
measurements of NO2 and SO2 time on average 24 hours during August. SO2 air
pollution in Bandung City shows a low and medium risk category and is not
included in the priority WPPMU. There are 7 grids of NO2 air pollutant and 9 grids
of PM10 air pollutant which are included in the WPPMU priority. This grid is
included in 11 sub-district administrations namely Sukajadi, Cicendo, Bandung
Kulon, Babakan Ciparay, Bojongloa Kaler, Regol, Bojongloa Kidul, Astana Anyar,
Bandung Kidul, Lengkong and Sumur Bandung. The vulnerability of air pollution
from population density, wind speed, altitude, landscape and land use shows that
the vulnerability of air pollution in the city of Bandung is very high. Grids that
passed class II ambient air quality standards as many as 5 grids experienced a
grade downgrade from class II WPPMU changed to class I WPPMU which entered
7 sub-district administrative areas namely Bojongloa Kidul, Astana Anyar,
Bandung Kidul, Regol, Lengkong, Babakan Ciparay and Bandung Kulon. |
format |
Theses |
author |
Saro Manalu, Yeni |
author_facet |
Saro Manalu, Yeni |
author_sort |
Saro Manalu, Yeni |
title |
STUDY OF USING AERMOD MODEL FOR WPPMU (AIR QUALITY PROTECTION AND MANAGEMENT AREA) IN THE DRY SEASON (CASE STUDY: BANDUNG CITY) |
title_short |
STUDY OF USING AERMOD MODEL FOR WPPMU (AIR QUALITY PROTECTION AND MANAGEMENT AREA) IN THE DRY SEASON (CASE STUDY: BANDUNG CITY) |
title_full |
STUDY OF USING AERMOD MODEL FOR WPPMU (AIR QUALITY PROTECTION AND MANAGEMENT AREA) IN THE DRY SEASON (CASE STUDY: BANDUNG CITY) |
title_fullStr |
STUDY OF USING AERMOD MODEL FOR WPPMU (AIR QUALITY PROTECTION AND MANAGEMENT AREA) IN THE DRY SEASON (CASE STUDY: BANDUNG CITY) |
title_full_unstemmed |
STUDY OF USING AERMOD MODEL FOR WPPMU (AIR QUALITY PROTECTION AND MANAGEMENT AREA) IN THE DRY SEASON (CASE STUDY: BANDUNG CITY) |
title_sort |
study of using aermod model for wppmu (air quality protection and management area) in the dry season (case study: bandung city) |
url |
https://digilib.itb.ac.id/gdl/view/70987 |
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id-itb.:709872023-01-25T15:00:08ZSTUDY OF USING AERMOD MODEL FOR WPPMU (AIR QUALITY PROTECTION AND MANAGEMENT AREA) IN THE DRY SEASON (CASE STUDY: BANDUNG CITY) Saro Manalu, Yeni Teknik saniter dan perkotaan; teknik perlindungan lingkungan Indonesia Theses Air Pollution, Dry Season, AERMOD Model, Risk Map, WPPMU Class, Priority Area INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/70987 The use of transportation, industrial and other economic activities have increased the impact of air pollution in the city of Bandung. The impact of air pollution can potentially increase absolute mortality and cancer in humans. For this reason, efforts to control air pollution in the city of Bandung need to be carried out, including by preparing the WPPMU (Air Quality Protection and Management Area). WPPMU aims to analyze air pollution and the factors that influence it in a city by looking at smaller areas/areas, knowing which areas are the most polluted and have the highest priority for control. There are 2 (two) factors analyzed, namely the vulnerability factor which is obtained from the results of the average value of 5 variables, namely the variables of population density, landscape, elevation, wind speed and land use. And the hazard factor obtained the results of the average value of 2 variables, namely the variable emissions and concentration of air pollution in the city of Bandung. The value of the risk score is obtained from the addition of two factors of vulnerability and hazard. Air quality in an area is determined by emissions, meteorological conditions, topographical conditions and the level of dispersion in the area. The pollutant parameters studied were SO2, NO2 and PM10. To determine the level of dispersion, in this study, AERMOD and ArcGIS software were used. This study uses emission load inventory data for the City of Bandung in 2015 from point source types (malls/world centers, hotels, and hospitals/clinics), area sources (markets), line sources (land transportation) and LPG fuel primary consumption data. from residential sources, then the data sources are projected to 2020. The city of Bandung is divided into 167 areas with an area of 1 km x 1 km. The results of data collection in the city of Bandung using the interview method collected 145 respondents where the average consumption of LPG fuel from residential sources was 4.7 kg/month/person. The simulation results of the AERMOD model from 195 emission sources in the form of roads are the dispersion of SO2, NO2 and PM10 air pollutants during the dry season in cities from the Southeast to the Northwest following the dominant wind direction pattern and the maximum concentrations respectively are 49.24 µg/m3 , 87.60 µg/m3 and 256.33 µg/m3 . The maximum concentration occurred in 4 administrative sub-districts namely Rancasari, Bojongloa, Sukasari and Regol sub-districts. The results of the model show that the air quality of the city of Bandung with PM10 air pollution exceeds the ambient air quality standards in PP No. 22 of 2021 as many as 5 grids that fall into 5 sub-district administrations, namely Bojongloa Kidul, Astana Anyar, Regol, Lengkong, Bandung Kidul, Babakan Ciparay and Bandung Kulon except for measurements of NO2 and SO2 time on average 24 hours during August. SO2 air pollution in Bandung City shows a low and medium risk category and is not included in the priority WPPMU. There are 7 grids of NO2 air pollutant and 9 grids of PM10 air pollutant which are included in the WPPMU priority. This grid is included in 11 sub-district administrations namely Sukajadi, Cicendo, Bandung Kulon, Babakan Ciparay, Bojongloa Kaler, Regol, Bojongloa Kidul, Astana Anyar, Bandung Kidul, Lengkong and Sumur Bandung. The vulnerability of air pollution from population density, wind speed, altitude, landscape and land use shows that the vulnerability of air pollution in the city of Bandung is very high. Grids that passed class II ambient air quality standards as many as 5 grids experienced a grade downgrade from class II WPPMU changed to class I WPPMU which entered 7 sub-district administrative areas namely Bojongloa Kidul, Astana Anyar, Bandung Kidul, Regol, Lengkong, Babakan Ciparay and Bandung Kulon. text |