APPLICATION OF PMF MODEL IN THE STUDY OF PARTICULATE EMISSION SOURCES IDENTIFICATION IN IRON AND STEEL INDUSTRY REGION CILEGON
Cilegon is one of a rapidly growing industrial city in West Java. The existence of various industries and transportation activity in Cilegon can be a potential sources of particulate emissions. The decreased of air quality was perceived by the community around industrial areas in Cilegon, especially...
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id-itb.:242612017-09-27T15:23:06ZAPPLICATION OF PMF MODEL IN THE STUDY OF PARTICULATE EMISSION SOURCES IDENTIFICATION IN IRON AND STEEL INDUSTRY REGION CILEGON DAMAYANTI (NIM: 25314716), SENY Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/24261 Cilegon is one of a rapidly growing industrial city in West Java. The existence of various industries and transportation activity in Cilegon can be a potential sources of particulate emissions. The decreased of air quality was perceived by the community around industrial areas in Cilegon, especially whose living around the <br /> <br /> iron and steel industry. However, studies about identification of emissions source and its contribution to the ambient air quality in this region has not been done. This study was conducted to identify the source of particulate emissions in particular TSP and determine its contribution to the TSP concentration in ambient air using Positive Matrix Factorization (PMF) receptor model. A total of 34 daily sampling (24 hours) was collected during sampling period (August-November 2015) from a residential area in the southern of iron and steel industry region in Cilegon using a High Volume Sampler. Analysis of Black Carbon in the samples was performed using Diffusion Systems EEL 43m Smoke Stain Reflectometer (SSR) while 18 metal elements (Al, Si, Fe, S, Cu, Pb, V, Cr, Ni, Zn, Mn, Sn, K, Ca, Cl, Ti, Ba and Co) was analyzed using Energy Dispersive X-Ray Fluorescence (ED-XRF). Chemical composition data of TSP daily samples was used as input for the PMF. The <br /> <br /> identified emission sources from PMF result are crustal matter (40.13%), iron and steel production (22.23%), coal combustion (16.54%), biomass burning (11.83%), <br /> <br /> smelting (8.63%), diesel vehicle (0.28%), sea salt (0.17%), fuel-oil combustion (0.07%), road dust (0.07%) and cement industry /construction (0.05%). The pattern <br /> <br /> conditional probability function analysis were accordance with the locations of the known sources around study location. text |
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Cilegon is one of a rapidly growing industrial city in West Java. The existence of various industries and transportation activity in Cilegon can be a potential sources of particulate emissions. The decreased of air quality was perceived by the community around industrial areas in Cilegon, especially whose living around the <br />
<br />
iron and steel industry. However, studies about identification of emissions source and its contribution to the ambient air quality in this region has not been done. This study was conducted to identify the source of particulate emissions in particular TSP and determine its contribution to the TSP concentration in ambient air using Positive Matrix Factorization (PMF) receptor model. A total of 34 daily sampling (24 hours) was collected during sampling period (August-November 2015) from a residential area in the southern of iron and steel industry region in Cilegon using a High Volume Sampler. Analysis of Black Carbon in the samples was performed using Diffusion Systems EEL 43m Smoke Stain Reflectometer (SSR) while 18 metal elements (Al, Si, Fe, S, Cu, Pb, V, Cr, Ni, Zn, Mn, Sn, K, Ca, Cl, Ti, Ba and Co) was analyzed using Energy Dispersive X-Ray Fluorescence (ED-XRF). Chemical composition data of TSP daily samples was used as input for the PMF. The <br />
<br />
identified emission sources from PMF result are crustal matter (40.13%), iron and steel production (22.23%), coal combustion (16.54%), biomass burning (11.83%), <br />
<br />
smelting (8.63%), diesel vehicle (0.28%), sea salt (0.17%), fuel-oil combustion (0.07%), road dust (0.07%) and cement industry /construction (0.05%). The pattern <br />
<br />
conditional probability function analysis were accordance with the locations of the known sources around study location. |
format |
Theses |
author |
DAMAYANTI (NIM: 25314716), SENY |
spellingShingle |
DAMAYANTI (NIM: 25314716), SENY APPLICATION OF PMF MODEL IN THE STUDY OF PARTICULATE EMISSION SOURCES IDENTIFICATION IN IRON AND STEEL INDUSTRY REGION CILEGON |
author_facet |
DAMAYANTI (NIM: 25314716), SENY |
author_sort |
DAMAYANTI (NIM: 25314716), SENY |
title |
APPLICATION OF PMF MODEL IN THE STUDY OF PARTICULATE EMISSION SOURCES IDENTIFICATION IN IRON AND STEEL INDUSTRY REGION CILEGON |
title_short |
APPLICATION OF PMF MODEL IN THE STUDY OF PARTICULATE EMISSION SOURCES IDENTIFICATION IN IRON AND STEEL INDUSTRY REGION CILEGON |
title_full |
APPLICATION OF PMF MODEL IN THE STUDY OF PARTICULATE EMISSION SOURCES IDENTIFICATION IN IRON AND STEEL INDUSTRY REGION CILEGON |
title_fullStr |
APPLICATION OF PMF MODEL IN THE STUDY OF PARTICULATE EMISSION SOURCES IDENTIFICATION IN IRON AND STEEL INDUSTRY REGION CILEGON |
title_full_unstemmed |
APPLICATION OF PMF MODEL IN THE STUDY OF PARTICULATE EMISSION SOURCES IDENTIFICATION IN IRON AND STEEL INDUSTRY REGION CILEGON |
title_sort |
application of pmf model in the study of particulate emission sources identification in iron and steel industry region cilegon |
url |
https://digilib.itb.ac.id/gdl/view/24261 |
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1822921168440524800 |