Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia

Recently, Malaysia were experiencing a continuous and transboundary air pollution in cities with increasing economic growth and rapid developments. This resulted in an increasing level PM10 which further led to increase in the respiratory-related health cases. Thus, the exposed population may experi...

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Main Author:	Nordin, Nadhirah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	G109.5 Global Positioning System
Online Access:	http://eprints.utm.my/id/eprint/86074/1/NadhirahNordinMFAB2017.pdf
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spelling	my-utm-ep.860742020-08-30T08:53:22Z Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia 2017 Nordin, Nadhirah G109.5 Global Positioning System Recently, Malaysia were experiencing a continuous and transboundary air pollution in cities with increasing economic growth and rapid developments. This resulted in an increasing level PM10 which further led to increase in the respiratory-related health cases. Thus, the exposed population may experience respiratory health effects, lose of working days and increase in medical spending to cure the health effects. This study focused on quantifying health and economic benefits from the PM10 reduction level by applying BenMAP, which is a software measuring the impact of air pollution. Health impact function (HIF) are used to relate between the change of PM10 level and the change in incidence rates of the PM10-related health effects among the exposed population. The HIF was developed based on two Relative Risk (RR) estimates adapted from HKL and HUKM in a similar study in Klang Valley. A 30 percent reduction scenario was implemented in order to exemplify greater health benefits for PM10 level that will be much lower than the current DOE guideline of PM10. From the analysis, the highest PM10 level recorded was 46.88 µg/m3 for the baseline scenario and 32.82 µg/m3 after the reduction scenario. The second stage analysis for HKL RR estimates resulted in incidence rate of 134.74 during the baseline scenario and 58.69 after reduction scenario. For HUKM’s RR estimate, the analysis yielded an incidence rate of 446.45 before the reduction scenario and 202.21 after reduction scenario. The last stage of analysis produced monetized benefits for Johor Bahru by applying Cost of Illness (COI) method. This generated a COI of RM 1,054,000 and RM3,497,000 for HKL and HUKM respectively during the baseline scenario. The COI are reduced to RM459,000 and RM1,584,000 after the reduction scenario for HKL and HUKM respectively. This research further proves that the public health burden could be reduced up to RM1,900,000 if PM10 reduction scenario is applied in Johor Bahru. Policymakers and planners can apply BenMAP in order to check the existing policies and strategies for controlling air pollution and PM10 emission level in Johor Bahru as well as a benchmark to develop a new guideline for PM2.5. 2017 Thesis http://eprints.utm.my/id/eprint/86074/ http://eprints.utm.my/id/eprint/86074/1/NadhirahNordinMFAB2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:132403 masters Universiti Teknologi Malaysia, Faculty of Built Environment & Surveying Faculty of Built Environment & Surveying
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G109.5 Global Positioning System
spellingShingle	G109.5 Global Positioning System Nordin, Nadhirah Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia
description	Recently, Malaysia were experiencing a continuous and transboundary air pollution in cities with increasing economic growth and rapid developments. This resulted in an increasing level PM10 which further led to increase in the respiratory-related health cases. Thus, the exposed population may experience respiratory health effects, lose of working days and increase in medical spending to cure the health effects. This study focused on quantifying health and economic benefits from the PM10 reduction level by applying BenMAP, which is a software measuring the impact of air pollution. Health impact function (HIF) are used to relate between the change of PM10 level and the change in incidence rates of the PM10-related health effects among the exposed population. The HIF was developed based on two Relative Risk (RR) estimates adapted from HKL and HUKM in a similar study in Klang Valley. A 30 percent reduction scenario was implemented in order to exemplify greater health benefits for PM10 level that will be much lower than the current DOE guideline of PM10. From the analysis, the highest PM10 level recorded was 46.88 µg/m3 for the baseline scenario and 32.82 µg/m3 after the reduction scenario. The second stage analysis for HKL RR estimates resulted in incidence rate of 134.74 during the baseline scenario and 58.69 after reduction scenario. For HUKM’s RR estimate, the analysis yielded an incidence rate of 446.45 before the reduction scenario and 202.21 after reduction scenario. The last stage of analysis produced monetized benefits for Johor Bahru by applying Cost of Illness (COI) method. This generated a COI of RM 1,054,000 and RM3,497,000 for HKL and HUKM respectively during the baseline scenario. The COI are reduced to RM459,000 and RM1,584,000 after the reduction scenario for HKL and HUKM respectively. This research further proves that the public health burden could be reduced up to RM1,900,000 if PM10 reduction scenario is applied in Johor Bahru. Policymakers and planners can apply BenMAP in order to check the existing policies and strategies for controlling air pollution and PM10 emission level in Johor Bahru as well as a benchmark to develop a new guideline for PM2.5.
format	Thesis
qualification_level	Master's degree
author	Nordin, Nadhirah
author_facet	Nordin, Nadhirah
author_sort	Nordin, Nadhirah
title	Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia
title_short	Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia
title_full	Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia
title_fullStr	Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia
title_full_unstemmed	Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia
title_sort	health benefit modeling using benmap for air pollution impact measurements in johor bahru, malaysia
granting_institution	Universiti Teknologi Malaysia, Faculty of Built Environment & Surveying
granting_department	Faculty of Built Environment & Surveying
publishDate	2017
url	http://eprints.utm.my/id/eprint/86074/1/NadhirahNordinMFAB2017.pdf
_version_	1747818491061207040

Health benefit modeling using BenMAP for air pollution impact measurements in Johor Bahru, Malaysia

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