Extreme value analysis for modeling high PM10 level in Johor Bahru

Extreme value theory is a very well-known statistical analysis for modeling extreme data in environmental management. The main focus is to compare the generalized extreme value distribution (GEV) and the generalized Pareto distribution (GPD) for modeling extreme data in terms of estimated parameters...

Full description

Bibliographic Details
Main Authors: Mohd Amin, Nor Azrita, Adam, Mohd Bakri, Aris, Ahmad Zaharin
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Online Access:http://psasir.upm.edu.my/id/eprint/55762/
http://psasir.upm.edu.my/id/eprint/55762/1/Extreme%20value%20analysis%20for%20modeling%20high%20PM10%20level%20in%20Johor%20Bahru.pdf
_version_ 1848852892937617408
author Mohd Amin, Nor Azrita
Adam, Mohd Bakri
Aris, Ahmad Zaharin
author_facet Mohd Amin, Nor Azrita
Adam, Mohd Bakri
Aris, Ahmad Zaharin
author_sort Mohd Amin, Nor Azrita
building UPM Institutional Repository
collection Online Access
description Extreme value theory is a very well-known statistical analysis for modeling extreme data in environmental management. The main focus is to compare the generalized extreme value distribution (GEV) and the generalized Pareto distribution (GPD) for modeling extreme data in terms of estimated parameters and return levels. The maximum daily PM10 data for Johor Bahru monitoring station based on a 14 years database (1997-2010) were analyzed. It is found that the parameters estimated are more comparable if the extracted numbers of extreme series for both models are much more similar. The 10-years return value for GEV is 3 104μg/m3 while for GPD is 3 289μg/m3. Based on the threshold choice plot, threshold u = 74 is chosen and the corresponding 10-years return level is 3 308μg/m3. According to the air pollution index in Malaysia, this value is categorized as hazardous.
first_indexed 2025-11-15T10:45:18Z
format Article
id upm-55762
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:45:18Z
publishDate 2015
publisher Penerbit UTM Press
recordtype eprints
repository_type Digital Repository
spelling upm-557622017-06-07T08:54:42Z http://psasir.upm.edu.my/id/eprint/55762/ Extreme value analysis for modeling high PM10 level in Johor Bahru Mohd Amin, Nor Azrita Adam, Mohd Bakri Aris, Ahmad Zaharin Extreme value theory is a very well-known statistical analysis for modeling extreme data in environmental management. The main focus is to compare the generalized extreme value distribution (GEV) and the generalized Pareto distribution (GPD) for modeling extreme data in terms of estimated parameters and return levels. The maximum daily PM10 data for Johor Bahru monitoring station based on a 14 years database (1997-2010) were analyzed. It is found that the parameters estimated are more comparable if the extracted numbers of extreme series for both models are much more similar. The 10-years return value for GEV is 3 104μg/m3 while for GPD is 3 289μg/m3. Based on the threshold choice plot, threshold u = 74 is chosen and the corresponding 10-years return level is 3 308μg/m3. According to the air pollution index in Malaysia, this value is categorized as hazardous. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55762/1/Extreme%20value%20analysis%20for%20modeling%20high%20PM10%20level%20in%20Johor%20Bahru.pdf Mohd Amin, Nor Azrita and Adam, Mohd Bakri and Aris, Ahmad Zaharin (2015) Extreme value analysis for modeling high PM10 level in Johor Bahru. Jurnal Teknologi (Sciences & Engineering), 76 (1). pp. 171-179. ISSN 0127-9696; ESSN: 2180-3722 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/3060
spellingShingle Mohd Amin, Nor Azrita
Adam, Mohd Bakri
Aris, Ahmad Zaharin
Extreme value analysis for modeling high PM10 level in Johor Bahru
title Extreme value analysis for modeling high PM10 level in Johor Bahru
title_full Extreme value analysis for modeling high PM10 level in Johor Bahru
title_fullStr Extreme value analysis for modeling high PM10 level in Johor Bahru
title_full_unstemmed Extreme value analysis for modeling high PM10 level in Johor Bahru
title_short Extreme value analysis for modeling high PM10 level in Johor Bahru
title_sort extreme value analysis for modeling high pm10 level in johor bahru
url http://psasir.upm.edu.my/id/eprint/55762/
http://psasir.upm.edu.my/id/eprint/55762/
http://psasir.upm.edu.my/id/eprint/55762/1/Extreme%20value%20analysis%20for%20modeling%20high%20PM10%20level%20in%20Johor%20Bahru.pdf