Indoor particulate matter (PM2.5) in Malaysian academic building: Elemental characterization and source apportionment

被引:0
作者
Isa, Intan Idura Mohamad [1 ]
Abd Wahid, Nurul Bahiyah [1 ]
Jamhari, Anas Ahmad [2 ]
Isa, Irma Izani Mohamad [3 ]
Latif, Mohd Talib [4 ]
机构
[1] Univ Pendidikan Sultan Idris, Fac Sci & Math, Dept Biol, Tanjung Malim 35900, Perak, Malaysia
[2] Univ Sultan Zainal Abidin, Fac Hlth Sci, Sch Biomed Sci, Terengganu, Malaysia
[3] Univ Putra Malaysia, Fac Med & Hlth Sci, Dept Biomed Sci, Serdang, Selangor, Malaysia
[4] Univ Kebangsaan Malaysia, Fac Sci & Technol, Dept Earth Sci & Environm, Bangi, Selangor, Malaysia
关键词
PM2.5; aerosols; source apportionment; indoor air pollution; trace metals; water-soluble ionic species; HEALTH-RISK ASSESSMENT; HEAVY-METALS; KUALA-LUMPUR; ROAD DUST; URBAN; PM10; SURFACTANTS; AIR; SCHOOLS; CITY;
D O I
10.1080/15275922.2022.2125106
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 the elemental compositions of indoor particulate matter (PM2.5) in two selected academic buildings, with emphasis on source apportionment using a multivariate receptor model. PM2.5 samples were collected from lecture halls, laboratories and lecturer offices at the Ministry of Health Training Institute of Sungai Buloh (S1) and the Ministry of Health Training Institute of Sultan Azlan Shah (S2). Sampling took place over 8 h using a low volume sampler (LVS). In this study, various scientific methods such as standard methods for air quality analysis as well as Principal Component Analysis (PCA) and Multiple Linear Regression (MLR) were applied in order to investigate the elemental characterizations and source apportionment of PM2.5, respectively. The PM2.5 compositions for water-soluble ionic species (WSIS) and trace metals were analysed using ion chromatography (IC) and inductively coupled plasma-mass spectrometry (ICP-MS), respectively. Results showed that the mean PM2.5 concentration at S1 (108 +/- 39.5 mu g m(-3)) was higher than S2 (91.1 +/- 36.6 mu g m(-3)). PCA-MLR analysis revealed that biomass burning (48%) and building material/crustal origin (81%) were the major sources of indoor PM2.5 for S1 and S2, respectively. Modifications and improvements to ventilation systems could be implemented in order to maintain a good health of the building occupants as outside sources may contribute to the presence of pollutants in these buildings.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Chemical Characterization and Source Apportionment of PM2.5 in Rabigh, Saudi Arabia
    Nayebare, Shedrack R.
    Aburizaiza, Omar S.
    Khwaja, Haider A.
    Siddique, Azhar
    Hussain, Mirza M.
    Zeb, Jahan
    Khatib, Fida
    Carpenter, David O.
    Blake, Donald R.
    AEROSOL AND AIR QUALITY RESEARCH, 2016, 16 (12) : 3114 - 3129
  • [22] Chemical characteristics and source apportionment of PM2.5 in Wuhan, China
    Huang, Fan
    Zhou, Jiabin
    Chen, Nan
    Li, Yuhua
    Li, Kuan
    Wu, Shuiping
    JOURNAL OF ATMOSPHERIC CHEMISTRY, 2019, 76 (03) : 245 - 262
  • [23] Distribution and source apportionment of polycyclic aromatic hydrocarbons from atmospheric particulate matter PM2.5 in Beijing
    Liu Dameng
    Gao Shaopeng
    An Xianghua
    ADVANCES IN ATMOSPHERIC SCIENCES, 2008, 25 (02) : 297 - 305
  • [24] Source apportionment of particulate matter (PM2.5) in an urban area using dispersion, receptor and inverse modelling
    Laupsa, Herdis
    Denby, Bruce
    Larssen, Steinar
    Schaug, Jan
    ATMOSPHERIC ENVIRONMENT, 2009, 43 (31) : 4733 - 4744
  • [25] Distribution and source apportionment of Polycyclic aromatic hydrocarbons from atmospheric particulate matter PM2.5 in Beijing
    Dameng Liu
    Shaopeng Gao
    Xianghua An
    Advances in Atmospheric Sciences, 2008, 25 : 297 - 305
  • [26] Chemical Characterization of Indoor and Outdoor Particulate Matter (PM2.5, PM10) in Doha, Qatar
    Saraga, Dikaia
    Maggos, Thomas
    Sadoun, Eman
    Fthenou, Eleni
    Hassan, Hala
    Tsiouri, Vasiliki
    Karavoltsos, Sotirios
    Sakellari, Aikaterini
    Vasilakos, Christos
    Kakosimos, Konstantinos
    AEROSOL AND AIR QUALITY RESEARCH, 2017, 17 (05) : 1156 - 1168
  • [27] Fine particulate matter (PM2.5) in Edmonton, Canada: Source apportionment and potential risk for human health
    Bari, Md. Aynul
    Kindzierski, Warren B.
    ENVIRONMENTAL POLLUTION, 2016, 218 : 219 - 229
  • [28] Distribution and Source Apportionment of Polycyclic Aromatic Hydrocarbons from Atmospheric Particulate Matter PM2.5 in Beijing
    刘大锰
    高少鹏
    安祥华
    Advances in Atmospheric Sciences, 2008, (02) : 297 - 305
  • [29] Chemical composition of fine mode particulate matter (PM2.5) in an urban area of Delhi, India and its source apportionment
    Sharma, S. K.
    Mandal, T. K.
    URBAN CLIMATE, 2017, 21 : 106 - 122
  • [30] Source apportionment studies on particulate matter (PM10 and PM2.5) in ambient air of urban Mangalore, India
    Kalaiarasan, Gopinath
    Balakrishnan, Raj Mohan
    Sethunath, Neethu Anitha
    Manoharan, Sivamoorthy
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2018, 217 : 815 - 824