Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur

Malaysia’s capital city of Kuala Lumpur has been developed from a small settlement at the confluence of the Klang and Gombak rivers into a vibrant and bustling metropolis. The associated rapid economic growths have started to impose costs in terms of industrial pollution and the degradation of urban...

Full description

Bibliographic Details
Main Authors:	Jannatul Naemah Mohamed Sedek, Nor Azam Ramli, Ahmad Shukri Yahaya
Format:	Article
Language:	English
Published:	Environmental Management Society, Malaysia 2006
Online Access:	http://journalarticle.ukm.my/2237/ http://journalarticle.ukm.my/2237/ http://journalarticle.ukm.my/2237/1/2006_3_Jannatul%26Azam.pdf

id	ukm-2237
recordtype	eprints
spelling	ukm-22372016-12-14T06:31:04Z http://journalarticle.ukm.my/2237/ Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur Jannatul Naemah Mohamed Sedek, Nor Azam Ramli, Ahmad Shukri Yahaya, Malaysia’s capital city of Kuala Lumpur has been developed from a small settlement at the confluence of the Klang and Gombak rivers into a vibrant and bustling metropolis. The associated rapid economic growths have started to impose costs in terms of industrial pollution and the degradation of urban environment. Air pollution is a major issue in this city that has been affecting human health, agricultural crops, forest species, and ecosystems. This paper reports findings of a research aimed at developing a tool needed to analyze the statistical characters of air quality data in Kuala Lumpur, Malaysia. In this study, the theoretical distribution Log Normal was used to fit the parent distribution of PM10 for 1998 and 2002 for Kuala Lumpur. Two estimating methods namely method of maximum likelihood and method of moments, were used to estimate the parameters of the theoretic distributions. From the statistical properties of air pollutants, the probabilities of air pollutant concentration exceeding Malaysia Ambient Quality Standards can be predicted. The results of this work provide useful information for air quality management, and can also be used to develop the corresponding air pollution control strategy Environmental Management Society, Malaysia 2006 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/2237/1/2006_3_Jannatul%26Azam.pdf Jannatul Naemah Mohamed Sedek, and Nor Azam Ramli, and Ahmad Shukri Yahaya, (2006) Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur. Malaysian Journal of Environmental Management, 7 . pp. 33-41. ISSN 1511-7855 http://www.ems-malaysia.org/mjem/index.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Malaysia’s capital city of Kuala Lumpur has been developed from a small settlement at the confluence of the Klang and Gombak rivers into a vibrant and bustling metropolis. The associated rapid economic growths have started to impose costs in terms of industrial pollution and the degradation of urban environment. Air pollution is a major issue in this city that has been affecting human health, agricultural crops, forest species, and ecosystems. This paper reports findings of a research aimed at developing a tool needed to analyze the statistical characters of air quality data in Kuala Lumpur, Malaysia. In this study, the theoretical distribution Log Normal was used to fit the parent distribution of PM10 for 1998 and 2002 for Kuala Lumpur. Two estimating methods namely method of maximum likelihood and method of moments, were used to estimate the parameters of the theoretic distributions. From the statistical properties of air pollutants, the probabilities of air pollutant concentration exceeding Malaysia Ambient Quality Standards can be predicted. The results of this work provide useful information for air quality management, and can also be used to develop the corresponding air pollution control strategy
format	Article
author	Jannatul Naemah Mohamed Sedek, Nor Azam Ramli, Ahmad Shukri Yahaya,
spellingShingle	Jannatul Naemah Mohamed Sedek, Nor Azam Ramli, Ahmad Shukri Yahaya, Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur
author_facet	Jannatul Naemah Mohamed Sedek, Nor Azam Ramli, Ahmad Shukri Yahaya,
author_sort	Jannatul Naemah Mohamed Sedek,
title	Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur
title_short	Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur
title_full	Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur
title_fullStr	Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur
title_full_unstemmed	Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur
title_sort	air quality predictions using log normal distribution functions of particulate matter in kuala lumpur
publisher	Environmental Management Society, Malaysia
publishDate	2006
url	http://journalarticle.ukm.my/2237/ http://journalarticle.ukm.my/2237/ http://journalarticle.ukm.my/2237/1/2006_3_Jannatul%26Azam.pdf
first_indexed	2023-09-18T19:35:35Z
last_indexed	2023-09-18T19:35:35Z
_version_	1777405248287014912

Air quality predictions using log normal distribution functions of particulate matter in Kuala Lumpur

Similar Items