Sains Malaysiana 41(11)(2012): 1335–1344
Assessing and Comparing PM10 Pollutant Behaviour using Functional Data Approach
(Menilai dan Membanding Perilaku Pencemar PM10 dengan Pendekatan Data Fungsi)
Norshahida Shaadan* & Sayang Mohd Deni
Center
for Statistical and Decision Science Studies, Faculty of Computer &
Mathematical Sciences
40450 UiTM Shah Alam, Selangor
D.E. Malaysia
Abd Aziz Jemain
DELTA, School of Mathematical
Sciences. Faculty of Science & Technology
Universiti Kebangsaan Malaysia (UKM), 43600, Bangi, Selangor D.E. Malaysia
Diserahkan: 4 Oktober 2011 / Diterima: 30 Mei 2012
ABSTRACT
This study highlights the advantage
of functional data approach in assessing and comparing the PM10 pollutant behaviour as an
alternative statistical approach during and between the two extreme haze years
(1997 and 2005) that have been reported in Selangor, state of Malaysia. The aim
of the study was to improvise the current conventional methods used in air
quality assessment so that any unforeseen implicit information can be revealed
and the previous research findings can be justified. An analysis based on the
daily diurnal curves in place of discrete point values was performed. The
analysis results provided evidences of the influence of the change in the
climate (due to the El-Nino event), the different levels of different emission
sources and meteorological conditions on the severity of the PM10 problem. By means of the cummulative exceedence index and
the functional depth method, most of the monitoring stations for the year 2005
experienced the worst day of critical exceedences on
the 10th of August, while for the
year 1997 it occurred between 13th and
26th September inclusively at
different dates among the stations.
Keywords: Air quality; behaviour; exceedences;
functional data; PM10 pollutant
ABSTRAK
Kajian ini memperlihatkan kelebihan pendekatan data fungsi dalam menilai dan membanding perilaku pencemar PM10 sewaktu dan antara dua tahun jerebu yang paling ekstrim (1997 dan 2005) yang pernah dilaporkan berlaku di negeri Selangor, Malaysia sebagai satu pendekatan alternatif. Tujuan kajian adalah untuk membuat penambahbaikan terhadap kaedah konvensional yang biasa digunakan dalam penilaian dan penaksiran kualiti udara bagi membolehkan maklumat tersirat yang tidak disedari dicungkil dan dapatan daripada kajian lepas dapat diperjelaskan. Analisis dilakukan ke atas data lengkung harian PM10 berdasarkan tempoh mengikut jam bagi menggantikan penggunaan nilai-nilai diskrit titik. Keputusan analisis kajian telah mempamerkan bukti terhadap pengaruh perubahan iklim (ekoran daripada peristiwa El-Nino), perbezaan aras kepekatan berpunca daripada berlainan sumber pelepasan dan keadaan meteorologi terhadap keterukan masalah pencemar udara PM10. Dengan menggunakan indeks kumulatif lebihan dan kaedah kedalaman fungsi, kebanyakan stesen pemantau bagi tahun 2005 didapati mengalami hari yang paling teruk lebihan kritikal kepekatan PM10 pada 10 Ogos manakala pada tahun 1997 berlaku pada tarikh yang berlainan di antara 13 dan 26 September di stesen pemantau yang berbeza.
Kata kunci: Data fungsian; kualiti udara; lebihan; pencemar PM10; perilaku
RUJUKAN
ADB & CAI-Asia. 2006. Country Synthesis Report
on Urban Air Quality Management (Malaysia). Philippines: Asian Development
Bank (ADB) & Clean Air Initiative for Asian Cities (CAI-Asia) Centre.
Afroz, R.,
Hassan, M.N. & Ibrahim, N.A. 2003. Review of air pollution and
health impacts in Malaysia. Environmental Research 92: 71-77.
Awang, M., Jaafar, A.B., Abdullah, A.M., Ismail, M., Hassan, M.N.,
Abdullah, R., Johan, S. & Noor, H. 2000. Air quality
in Malaysia: Impacts, management issues and future challenges. Respirology 5: 183-196.
Azmi, S.T., Latif, M.T., Ismail, A.S., Juneng, L. & Jemain, A.A.
2010. Trend and status of air quality at three different
monitoring stations in Klang Valley, Malaysia. Air Quality Atmospheric Health 3: 53-64.
DoE (Department of Environment Malaysia). 2005. Malaysian
Environmental Quality Report 2005. Kuala Lumpur: Department of Environment,
Ministry of Sciences, Technology and the Environment, Malaysia.
DoE (Department of Environment Malaysia). 2008. Malaysian
Environmental Quality Report 2008: Air Quality. Available online at:
http://apps:doe.gov.my, Accessed on 25 May 2012.
Febrero, M., Galeano, P. & Manteiga, W.G.
2007. A functional analysis of NOx levels:
Location and scale estimation and outlier detection. Computational
Statistics 22: 411-427.
Field, R.D., Werf, G.R.V. & Shen, S.S.P. 2009. Human
implication of drought-induced biomass burning in Indonesia since 1960s. Nature Geoscience 2: 185-188.
Fraiman, R. & Muniz, G. 2001. Trimmed means for
functional data. Test 10: 419-440.
Gao, H.O. 2007. Day of week effects on diurnal ozone, NOx cycles and transportation emissions in Southern
California. Transportation Research Part D 12: 292-305.
Junninen, H., Niska, H., Tuppurainen, K., Ruuskanen, J. & Kolehmainen,
M. 2004. Methods for imputation of missing values in air quality data
sets. Atmospheric Environment 38: 2895-2907.
Laakso, L.,
Hussein, T., Aarnio, P., Komppula,
M., Hiltunen, V., Viisanen,
Y. & Kulmala, M. 2003. Diurnal and annual characteristics of particle mass and number concentrations
in urban, rural and arctic environments in Finland. Atmospheric
Environment 37: 2629-2641.
Ling, L.O.H., Ting, K.H., Shaharuddin,
A., Kadaruddin, A. & Yaakob,
M.J. 2010. Urban growth and air quality in Kuala Lumpur
city, Malaysia. Environment Asia 3(2): 123-128.
MOE
(Ministry of the Environmental Government of Japan). The
Environmental Quality Standards in Japan – Air Quality. Available
online at: http://www.env.go.jp/en/air/aq/aq.html, Accessed on 15 July 2011.
Ramsay, J.O. & Silverman, B.W. 1997. Functional
data analysis. New York: Springer.
Tangang, F., Latif, M.T. & Juneng, L.
2011. The roles of climate variability and climate change on smoke haze
occurrences in Southeast Asia region. Available online at: http://
www2.Ise.ac.uk/ideas/publications/reports/pdf/sr004/num.pdf, Accessed on 20
January 2011.
*Pengarang untuk surat-menyurat; email: shahida@tmsk.uitm.edu.my
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