CO-BENEFIT MODELING AND OPTIMIZATION OF AIR POLLUTION CONTROL IN ISKANDAR MALAYSIA: A METHODOLOGY USING BenMAP

Authors

  • Nadhirah Nordin UNIVERSITI TEKNOLOGI MALAYSIA
  • M. Rafee Majid UNIVERSITI TEKNOLOGI MALAYSIA
  • Ho Chin Siong Faculty of Built Environment UNIVERSITI TEKNOLOGI MALAYSIA
  • Gakuji Kurata KYOTO UNIVERSITY, JAPAN

DOI:

https://doi.org/10.21837/pm.v14i4.165

Keywords:

Air pollution, particulate matter emission, PM10, health benefits, BenMAP

Abstract

Malaysia is currently experiencing issues of local as well as transboundary air pollution. The issues are especially felt in areas that record high economic growth and rapid urbanization such as Iskandar Malaysia, a fast evolving economic-growth corridor in Southeast Asia. This has led to increased rate of particulate matter emissions, which further led to increase in the rate of respiratory-related health incidences. Many epidemiological studies have proven that particulate matters in the ambient air are associated with adverse health effects. This will affect the existing and future economy of Iskandar Malaysia, where the exposed population may lose their workdays and face increased medical spending. This study focuses on quantifying health and economic benefits from the reduction of particulate matter with a size of 10 micrometers or less in diameter (PM10) using the Environmental Benefits Mapping and Analysis Program (BenMAP) by US EPA. Health impact functions are used to quantify the relationship between a change in PM10 level and number of related health effects among the exposed population. The samples for this research include a continuous monitoring data on the 2014 monthly average of daily PM10, the 2014 population projection of Malaysian Census Data and the PM10 related health cases for 2014 which are focused in the Iskandar Malaysia region. PM10 data are collected from monitoring stations operated by the Department of Environment (DOE). Respiratory related cases such as Upper Respiratory Tract Infection, which is categorized as J10 in International Classification of Diseases, are collected from selected clinics within the study area. The final outcome of the modeling exercise compares the co-benefits of air pollution reduction between the baseline scenario and the control scenario for PM10 level in Iskandar Malaysia. The results of this study are useful in optimizing and improving the existing policies and strategies for controlling air pollution and PM10 emission in Iskandar Malaysia.

Downloads

Download data is not yet available.

References

Abt Associates Inc. (2006). ‘BenMAP Environmental Benefits Mapping and Analysis Program, Case Study: Mumbai’.

Abt Associates Inc. (2012). ‘BenMAP Environmental Benefits Mapping and Analysis Program User’s Manual’.

Agarwal R, Jayaraman G, Anand S and Marimuthu P. (2006 ). ‘Assessing respiratory morbidity through pollution status and meteorological conditions for Delhi.’ Environ Monit Assess . No 114: 489 - 504.

Dai H, Song w, Gao X, et al. (2004). ‘Study on relationship between ambient PM 10 , PM 2.5 pollution and daily mortality in a district in Shanghai’, Journal of Hygiene Research , No. 33: 39 - 49.

Davidson, K., Hallberg, A., McCubbin, D., & Hubbell, B. (2007). Analysis of PM2.5 using the Environmental Benefits Mapping and Analysis Program (BenMAP). Journal of Toxicology and Environmental Health. Part A , 70 (3 - 4), 332 – 346. doi:10.1080/15287390600884982

He, K., Lei, Y., Pan, X., Zhang, Y., Zhang, Q., & Chen, D. (2010). Co - benefits from energy policies in China. Energy , 35 (11), 4265 – 4272. doi:10.1016/j.energy.2008.07.021

Hong CY , Chia SE, Widjaja D, et al. (2004). ‘Prevalence of respiratory symptoms in children and air quality by village in rural Indonesia’, Journal of Occupational Environmental Medicine , No. 46: 1174 - 1179.

Hu W, Wei FS, Teng EJ, et. al. (2001). ‘The impact of a ir pollution on respiratory health of children and their parents’. China Environ Sci . No 20:425 - 428.

Hwang SS, Cho SH and Kwon HJ (2002). ‘Effects of the severe Asian dust events on daily mortality during the spring of 2002, in Seoul, Korea’, J Prev Med P ub Health , No 38: 197 - 202.

Hwang SS, Lee JH, Jung GW, et al. (2007). ‘Spatial analysis of air pollution and lung cancer incidence and mortality in 7 metropolitan cities in Korea’, J Prev Med Pub Health , No 40: 233 - 238.

Iwai K, Mizuno S, Miyasaka Y, et al. (2005). ‘Correlation between suspended particles in the environmental air and causes of disease among inhabitants: Cross - section studies using the vital statistics and air pollution data in Japan’, Environ Res , No 99: 106 - 117.

Jang AS, Kim BY, Lee CH, et . al. (2006). ‘Hospital visits and admissions in patients with asthma, COPD and cardiovascular diseases according to air pollutants’. J Asthma Allergy Clin Immunol . No. 26: 233 - 238.

Kan H, Chen B. (2003). ‘A case crossover analysis of air pollution and dai ly mortality in Shanghai’. J Occup Health . No. 45:119 - 124.

Kan HD, Chen BH, Chen CG, et. al. (2004). ‘An evaluation of public health impact of ambient air pollution under various energy scenarios in Shanghai, China. Atmos Environ . No 38: 95 - 102.

Ko FW, Tam WW, Wong T, et. al. (2007). ‘The temporal relationship between air pollutants and hospital admissions for chronic obstructive pulmonary disease in Hong Kong’. Thorax. No 62: 780 - 785.

Lee JT, Kim H, Hong YC, et. al. (2003). ‘Air pollution and hospital admi ssions for ischemic heart diseases among individuals 64+ years of age residing in Seoul, Korea.’ Arch Environ Health . No 58: 617 - 623.

Pan X, Yue W, He K & Tong S. (2007). 'Health benefit evaluation of the ener gy use scenarios in Beijing, China.' Sci Total Environ. No 374: 242 - 251.

UKM Pakarunding. (2004). A Research Project Report A Study of Health Impact and Risk Assessment of Urban Air Pollution in the Klang Valley, Malaysia.

WHO Air Quality Guidelines for p articulate matter, ozone, nitrogen dioxide and sulfur dioxide (2005)

Yang CY & Chen CJ. (2007). 'Air pollution and hospital admissions for chronic obstructive pulmonary disease in a subtropical city: Taipei, Taiwan.' Journal of Toxicology and Environmental Health A. No 70: 1214 - 1219.

Downloads

Published

2016-07-30

How to Cite

Nordin, N., Majid, M. R., Chin Siong, H., & Kurata, G. (2016). CO-BENEFIT MODELING AND OPTIMIZATION OF AIR POLLUTION CONTROL IN ISKANDAR MALAYSIA: A METHODOLOGY USING BenMAP. PLANNING MALAYSIA, 14(4). https://doi.org/10.21837/pm.v14i4.165