Source apportionment and health risk assessment among specific age groups during haze and non-haze episodes in Kuala Lumpur, Malaysia

被引:110
作者
Sulong, Nor Azura [1 ]
Latif, Mohd Talib [1 ,2 ]
Khan, Md Firoz [3 ]
Amil, Norhaniza [4 ]
Ashfold, Matthew J. [5 ]
Wahab, Muhammad Ikram Abdul [6 ]
Chan, Kok Meng [6 ]
Sahani, Mazrura [6 ]
机构
[1] Univ Kebangsaan Malaysia, Sch Environm & Nat Resource Sci, Fac Sci & Technol, Bangi 43600, Selangor, Malaysia
[2] Univ Kebangsaan Malaysia, Inst Environm & Dev Lestari, Bangi 43600, Selangor, Malaysia
[3] Univ Kebangsaan Malaysia, Ctr Trop Climate Change Syst, Inst Climate Change, Bangi 43600, Selangor, Malaysia
[4] Univ Sains Malaysia, Sch Ind Technol, Environm Technol Div, Usm 11800, Penang, Malaysia
[5] Univ Nottingham Malaysia Campus, Sch Environm & Geog Sci, Semenyih 43500, Selangor, Malaysia
[6] Univ Kebangsaan Malaysia, Fac Hlth Sci, Sch Diagnost Sci & Appl Hlth, Environm Hlth & Ind Safety Program, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia
关键词
Transboundary smoke haze; Biomass burning; PM2.5; aerosols; PMF; Carcinogenic and non-carcinogenic health risk; POSITIVE MATRIX FACTORIZATION; MICROWAVE-ASSISTED EXTRACTION; POLYCYCLIC AROMATIC-HYDROCARBONS; FINE PARTICULATE MATTER; SMOKE-HAZE; SOURCE IDENTIFICATION; KLANG VALLEY; SOUTHEAST-ASIA; CHEMICAL CHARACTERISTICS; ESTIMATING UNCERTAINTY;
D O I
10.1016/j.scitotenv.2017.05.153
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study aims to determine PM2.5 concentrations and their composition during haze and non-haze episodes in Kuala Lumpur. In order to investigate the origin of the measured air masses, the Numerical Atmospheric-dispersion Modelling Environment (NAME) and Global Fire Assimilation System (GFAS) were applied. Source apportionment of PM2.5 was determined using Positive Matrix Factorization (PMF). The carcinogenic and non-carcinogenic health risks were estimated using the United State Environmental Protection Agency (USEPA) method. PM2.5 samples were collected from the centre of the city using a high-volume air sampler (HVS). The results showed that the mean PM2.5 concentrations collected during pre-haze, haze and post-haze periods were 24.5 +/- 12.0 mu g m(-3), 72.3 +/- 38.0 mu g m(-3) and 14.3 +/- 3.58 mu g m(-3), respectively. The highest concentration of PM2.5 during haze episode was five times higher than World Health Organisation (WHO) guidelines. Inorganic compositions of PM2.5, including trace elements and water soluble ions were determined using inductively coupled plasma-mass spectrometry (ICP-MS) and ion chromatography (IC), respectively. The major trace elements identified were K, Al, Ca, Mg and Fe which accounted for approximately 93%, 91% and 92% of the overall metals' portions recorded during pre-haze, haze and post-haze periods, respectively. Forwater-soluble ions, secondary inorganic aerosols (SO42-, NO3- and NH4+) contributed around 12%, 43% and 16% of the overall PM2.5 mass during pre-haze, haze and post-haze periods, respectively. During haze periods, the predominant source identified using PMF was secondary inorganic aerosol (SIA) and biomass burning where the NAME simulations indicate the importance of fires in Sumatra, Indonesia. The main source during pre-haze and post-haze were mix SIA and road dust as well as mineral dust, respectively. The highest non-carcinogenic health risk during haze episode was estimated among the infant group (HI - 1.06) while the highest carcinogenic health risk was estimated among the adult group (2.27 x 10(5)). (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:556 / 570
页数:15
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