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Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.]

The literature review had identified that the extreme value theory is widely used in hydrological studies. However, its contribution in air pollution is indisputably important. This paper assesses the use of extreme value distributions of the two-parameter Gumbel, two and three-parameter Weibull, Ge...

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Main Authors: Ahmat, Hasfazilah, Yahaya, Ahmad Shukri, Ramli, Nor Azam, Mohamad Japeri, Ahmad Zia Ul-Saufie, Abdul Hamid, Hazrul
Format: Article
Language:English
Published: Universiti Teknologi MARA, Pulau Pinang 2015
Subjects:
Malaysia
Online Access:http://ir.uitm.edu.my/id/eprint/11989/1/AJ_HASFAZILAH%20AHMAT%20EAJ%2015.pdf
http://ir.uitm.edu.my/id/eprint/11989/
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spelling my.uitm.ir.119892016-07-26T15:27:24Z http://ir.uitm.edu.my/id/eprint/11989/ Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.] Ahmat, Hasfazilah Yahaya, Ahmad Shukri Ramli, Nor Azam Mohamad Japeri, Ahmad Zia Ul-Saufie Abdul Hamid, Hazrul Malaysia The literature review had identified that the extreme value theory is widely used in hydrological studies. However, its contribution in air pollution is indisputably important. This paper assesses the use of extreme value distributions of the two-parameter Gumbel, two and three-parameter Weibull, Generalized Extreme Value (GEV) and two and three-parameter Generalized Pareto Distribution (GPD) on the maximum concentration of daily PM10 data recorded in the year 2005 in Shah Alam, Selangor. Parameters estimations for all distributions were evaluated using the method of Maximum Likelihood Estimator (MLE). The goodness-of-fit of the distribution was determined using six performance indicators namely; the accuracy measures which include Predictive Accuracy (PA), Coefficient of Determination (R2), Index of Agreement (IA) and error measures that consist of Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Normalized Absolute Error (NAE). The best distribution was selected based on the highest accuracy measures and the smallest error measures. This study reveals that the three-parameter Weibull was the best fit for daily maximum concentration for PM10. The analysis also demonstrates that the number of days in which the concentration of PM10 exceeded the Malaysia Ambient Air Quality Guidelines (MAAQG) of 150 mg/m3 for 2005 was 25 days as compared to the actual 15 days. Universiti Teknologi MARA, Pulau Pinang 2015 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/11989/1/AJ_HASFAZILAH%20AHMAT%20EAJ%2015.pdf Ahmat, Hasfazilah and Yahaya, Ahmad Shukri and Ramli, Nor Azam and Mohamad Japeri, Ahmad Zia Ul-Saufie and Abdul Hamid, Hazrul (2015) Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.]. Esteem Academic Journal, 11 (1). pp. 135-143. ISSN 1675-7939
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Malaysia
spellingShingle Malaysia
Ahmat, Hasfazilah
Yahaya, Ahmad Shukri
Ramli, Nor Azam
Mohamad Japeri, Ahmad Zia Ul-Saufie
Abdul Hamid, Hazrul
Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.]
description The literature review had identified that the extreme value theory is widely used in hydrological studies. However, its contribution in air pollution is indisputably important. This paper assesses the use of extreme value distributions of the two-parameter Gumbel, two and three-parameter Weibull, Generalized Extreme Value (GEV) and two and three-parameter Generalized Pareto Distribution (GPD) on the maximum concentration of daily PM10 data recorded in the year 2005 in Shah Alam, Selangor. Parameters estimations for all distributions were evaluated using the method of Maximum Likelihood Estimator (MLE). The goodness-of-fit of the distribution was determined using six performance indicators namely; the accuracy measures which include Predictive Accuracy (PA), Coefficient of Determination (R2), Index of Agreement (IA) and error measures that consist of Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Normalized Absolute Error (NAE). The best distribution was selected based on the highest accuracy measures and the smallest error measures. This study reveals that the three-parameter Weibull was the best fit for daily maximum concentration for PM10. The analysis also demonstrates that the number of days in which the concentration of PM10 exceeded the Malaysia Ambient Air Quality Guidelines (MAAQG) of 150 mg/m3 for 2005 was 25 days as compared to the actual 15 days.
format Article
author Ahmat, Hasfazilah
Yahaya, Ahmad Shukri
Ramli, Nor Azam
Mohamad Japeri, Ahmad Zia Ul-Saufie
Abdul Hamid, Hazrul
author_facet Ahmat, Hasfazilah
Yahaya, Ahmad Shukri
Ramli, Nor Azam
Mohamad Japeri, Ahmad Zia Ul-Saufie
Abdul Hamid, Hazrul
author_sort Ahmat, Hasfazilah
title Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.]
title_short Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.]
title_full Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.]
title_fullStr Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.]
title_full_unstemmed Analysis of pm10 using extreme value theory / Hasfazilah Ahmat ... [et al.]
title_sort analysis of pm10 using extreme value theory / hasfazilah ahmat ... [et al.]
publisher Universiti Teknologi MARA, Pulau Pinang
publishDate 2015
url http://ir.uitm.edu.my/id/eprint/11989/1/AJ_HASFAZILAH%20AHMAT%20EAJ%2015.pdf
http://ir.uitm.edu.my/id/eprint/11989/
_version_ 1685648337387126784
score 13.211869

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