Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor

This research compares PM10 mass concentration record generated by two types of aerosol monitoring devices, the Optical Direct Reading Monitor (ODRM) and the BAM1020, were collocated outdoors at Perai and Seberang Jaya. ODRM records were adjusted to predict Beta Attenuation Monitor (BAM) with a c...

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Main Author: Mohtar, Zul Azmi
Format: Thesis
Language:English
Published: 2013
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Online Access:http://eprints.usm.my/44037/1/Zul%20Azmi%20Bin%20Mohtar24.pdf
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spelling my-usm-ep.440372019-04-12T05:26:16Z Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor 2013-05 Mohtar, Zul Azmi TA1-2040 Engineering (General). Civil engineering (General) This research compares PM10 mass concentration record generated by two types of aerosol monitoring devices, the Optical Direct Reading Monitor (ODRM) and the BAM1020, were collocated outdoors at Perai and Seberang Jaya. ODRM records were adjusted to predict Beta Attenuation Monitor (BAM) with a correction factor k derived from co-located BAM and ODRM at a research site to make data comparable in real terms. Predicted BAM records were obtained using quantile regression. Performance indicator such as Coefficient of Determination (R2), Index of Agreement (IA), Normalised Absolute Error (NAE) and Root Mean Square Error (RMSE) were used to measure the accuracy of the predicted BAM and actual BAM. The k was successfully identified for Five Groups of Percentile and Seven Groups of Percentile. For both methods, monitoring records were treated using two techniques and named as Clean Record and Original Record. Clean Records removed the first two days records and concentrations lower than 10 μg/m³. For Original Record, only the first two days (48 hours) records were removed. Positive significant correlation was found between PM10 and temperature at all station using ODRM and BAM. However, for correlation between PM10 and RH, all stations showed negative correlation except Perai station using ODRM (0.901). The equation model used for predicted BAM is . pred BAM    kx which is  . is constant value and x is observed ODRM. Five Groups of Percentile using Clean Record is the best for both stations. R2 value for Five Groups of Percentile for Perai is 0.9170 and 0.9422 for Seberang Jaya compared with Seven Groups of Percentiles that is 0.8795 for Perai and 0.8402 for Seberang Jaya. Hence, simple optical direct reading instrument can be used as a surrogate to measure PM10 following statistical calibration by using quantile regression. 2013-05 Thesis http://eprints.usm.my/44037/ http://eprints.usm.my/44037/1/Zul%20Azmi%20Bin%20Mohtar24.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Awam
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic TA1-2040 Engineering (General)
Civil engineering (General)
spellingShingle TA1-2040 Engineering (General)
Civil engineering (General)
Mohtar, Zul Azmi
Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor
description This research compares PM10 mass concentration record generated by two types of aerosol monitoring devices, the Optical Direct Reading Monitor (ODRM) and the BAM1020, were collocated outdoors at Perai and Seberang Jaya. ODRM records were adjusted to predict Beta Attenuation Monitor (BAM) with a correction factor k derived from co-located BAM and ODRM at a research site to make data comparable in real terms. Predicted BAM records were obtained using quantile regression. Performance indicator such as Coefficient of Determination (R2), Index of Agreement (IA), Normalised Absolute Error (NAE) and Root Mean Square Error (RMSE) were used to measure the accuracy of the predicted BAM and actual BAM. The k was successfully identified for Five Groups of Percentile and Seven Groups of Percentile. For both methods, monitoring records were treated using two techniques and named as Clean Record and Original Record. Clean Records removed the first two days records and concentrations lower than 10 μg/m³. For Original Record, only the first two days (48 hours) records were removed. Positive significant correlation was found between PM10 and temperature at all station using ODRM and BAM. However, for correlation between PM10 and RH, all stations showed negative correlation except Perai station using ODRM (0.901). The equation model used for predicted BAM is . pred BAM    kx which is  . is constant value and x is observed ODRM. Five Groups of Percentile using Clean Record is the best for both stations. R2 value for Five Groups of Percentile for Perai is 0.9170 and 0.9422 for Seberang Jaya compared with Seven Groups of Percentiles that is 0.8795 for Perai and 0.8402 for Seberang Jaya. Hence, simple optical direct reading instrument can be used as a surrogate to measure PM10 following statistical calibration by using quantile regression.
format Thesis
qualification_level Master's degree
author Mohtar, Zul Azmi
author_facet Mohtar, Zul Azmi
author_sort Mohtar, Zul Azmi
title Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor
title_short Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor
title_full Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor
title_fullStr Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor
title_full_unstemmed Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor
title_sort determination of coefficient for pm10 monitoring using an optical direct reading instrument and beta attenuation monitor
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Kejuruteraan Awam
publishDate 2013
url http://eprints.usm.my/44037/1/Zul%20Azmi%20Bin%20Mohtar24.pdf
_version_ 1747821323830165504