Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia

Partikel merupakan pencemar utama ketika jerebu berlaku. Kajian mengenai bahan pencemar ini adalah penting kerana kesannya yang mengganggu kesihatan manusia dan juga persekitaran. Objektif utama kajian ini adalah untuk menghasilkan model bagi meramal kepekatan PM10 ketika keadaan partikel di udar...

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Main Author: Yusof, Noor Faizah Fitri Bt Md
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.usm.my/41297/1/Noor_Faizah_Fitri_Bt_Md_Yusof24.pdf
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author Yusof, Noor Faizah Fitri Bt Md
author_facet Yusof, Noor Faizah Fitri Bt Md
author_sort Yusof, Noor Faizah Fitri Bt Md
collection USM
description Partikel merupakan pencemar utama ketika jerebu berlaku. Kajian mengenai bahan pencemar ini adalah penting kerana kesannya yang mengganggu kesihatan manusia dan juga persekitaran. Objektif utama kajian ini adalah untuk menghasilkan model bagi meramal kepekatan PM10 ketika keadaan partikel di udara tinggi dengan menggunakan kaedah taburan kebarangkalian. Particulate matter is the major pollutant during haze events. Study on this air pollutant is crucial due to its detrimental effects to human health as well as the environment. The aim of this research is to model and predict PM10 concentrations during high particulate events (haze event) using probability distribution methods.
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spelling usm.eprints-412972019-04-12T05:26:59Z http://eprints.usm.my/41297/ Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia Yusof, Noor Faizah Fitri Bt Md TA1-2040 Engineering (General). Civil engineering (General) Partikel merupakan pencemar utama ketika jerebu berlaku. Kajian mengenai bahan pencemar ini adalah penting kerana kesannya yang mengganggu kesihatan manusia dan juga persekitaran. Objektif utama kajian ini adalah untuk menghasilkan model bagi meramal kepekatan PM10 ketika keadaan partikel di udara tinggi dengan menggunakan kaedah taburan kebarangkalian. Particulate matter is the major pollutant during haze events. Study on this air pollutant is crucial due to its detrimental effects to human health as well as the environment. The aim of this research is to model and predict PM10 concentrations during high particulate events (haze event) using probability distribution methods. 2009-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41297/1/Noor_Faizah_Fitri_Bt_Md_Yusof24.pdf Yusof, Noor Faizah Fitri Bt Md (2009) Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia. PhD thesis, Universiti Sains Malaysia.
spellingShingle TA1-2040 Engineering (General). Civil engineering (General)
Yusof, Noor Faizah Fitri Bt Md
Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia
title Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia
title_full Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia
title_fullStr Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia
title_full_unstemmed Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia
title_short Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia
title_sort modeling and prediction of pm10 concentration during high particulate events in malaysia
topic TA1-2040 Engineering (General). Civil engineering (General)
url http://eprints.usm.my/41297/1/Noor_Faizah_Fitri_Bt_Md_Yusof24.pdf
work_keys_str_mv AT yusofnoorfaizahfitribtmd modelingandpredictionofpm10concentrationduringhighparticulateeventsinmalaysia