Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill Stack

The study is to model emission from a stack to estimate ground level concentration from a palm oil mill. The case study is a mill located in Kuala Langat, Selangor. Emission source is from boilers stacks. The exercise determines the estimate the ground level concentrations for dust to the surroundin...

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Main Authors: Regina A. A., I. Mohammad Halim Shah
Format: Article
Language:English
Published: Universitas Syiah Kuala, Chemical Engineering Department 2010-12-01
Series:Jurnal Rekayasa Kimia & Lingkungan
Online Access:https://jurnal.usk.ac.id/RKL/article/view/224
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author Regina A. A.
I. Mohammad Halim Shah
author_facet Regina A. A.
I. Mohammad Halim Shah
author_sort Regina A. A.
collection DOAJ
description The study is to model emission from a stack to estimate ground level concentration from a palm oil mill. The case study is a mill located in Kuala Langat, Selangor. Emission source is from boilers stacks. The exercise determines the estimate the ground level concentrations for dust to the surrounding areas through the utilization of modelling software. The surround area is relatively flat, an industrial area surrounded by factories and with palm oil plantations in the outskirts. The model utilized in the study was to gauge the worst-case scenario. Ambient air concentrations were garnered calculate the increase to localized conditions. Keywords: emission, modelling, palm oil mill, particulate, POME
format Article
id doaj-art-7eebb17cac6e4304b1eb8b09ee2bf4cf
institution Kabale University
issn 1412-5064
2356-1661
language English
publishDate 2010-12-01
publisher Universitas Syiah Kuala, Chemical Engineering Department
record_format Article
series Jurnal Rekayasa Kimia & Lingkungan
spelling doaj-art-7eebb17cac6e4304b1eb8b09ee2bf4cf2025-08-20T03:27:22ZengUniversitas Syiah Kuala, Chemical Engineering DepartmentJurnal Rekayasa Kimia & Lingkungan1412-50642356-16612010-12-0174219Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill StackRegina A. A.0I. Mohammad Halim Shah1Department of Chemical & Environmental Engineering, Faculty of Engineering, Universiti Putra MalaysiaDepartment of Chemical & Environmental Engineering, Faculty of Engineering, Universiti Putra MalaysiaThe study is to model emission from a stack to estimate ground level concentration from a palm oil mill. The case study is a mill located in Kuala Langat, Selangor. Emission source is from boilers stacks. The exercise determines the estimate the ground level concentrations for dust to the surrounding areas through the utilization of modelling software. The surround area is relatively flat, an industrial area surrounded by factories and with palm oil plantations in the outskirts. The model utilized in the study was to gauge the worst-case scenario. Ambient air concentrations were garnered calculate the increase to localized conditions. Keywords: emission, modelling, palm oil mill, particulate, POMEhttps://jurnal.usk.ac.id/RKL/article/view/224
spellingShingle Regina A. A.
I. Mohammad Halim Shah
Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill Stack
Jurnal Rekayasa Kimia & Lingkungan
title Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill Stack
title_full Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill Stack
title_fullStr Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill Stack
title_full_unstemmed Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill Stack
title_short Air Pollution Modelling to Predict Maximum Ground Level Concentration for Dust from a Palm Oil Mill Stack
title_sort air pollution modelling to predict maximum ground level concentration for dust from a palm oil mill stack
url https://jurnal.usk.ac.id/RKL/article/view/224
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AT imohammadhalimshah airpollutionmodellingtopredictmaximumgroundlevelconcentrationfordustfromapalmoilmillstack