Source of apportionment of air quality parameters at federal port of Malaysia with emphasis on ship emission

Mohd Saiful Samsudin

Abstract

Air pollution is becoming a major environmental issue in Malaysia. Centered on data obtained from the Malaysian Department of Environment (DOE), this analysis focused on identifying possible causes of air quality heterogeneity across the research area. 14 air quality parameters in 7 monitoring stations for ten years (2009-2018) were gathered. To determine the source of air pollution around the study region, the Principal Component Analysis (PCA) approach from a chemometric methodology was applied. The PCA method has identified three varimax factor (VF) with 11 air quality parameters are the most significant parameters around the study area. It can be inferred from the analysis that the use of the PCA approach in chemometric techniques can be applied for the purpose of source apportionment. Accordingly, this study suggested that efforts should be put as a priority in the monitoring of ships emissions sources in Malaysia Federal Ports area and successful management of Malaysian air quality. ? Published under licence by IOP Publishing Ltd.

References

UNCTAD 2017 Review of Maritime Transport 2017.

Toscano D and Murena F 2019 Atmospheric ship emissions in ports: A review. Correlation with data of ship traffic Atmospheric Environment: X, 4, 100050.

UNCTAD 2018 Review of Maritime Transport 2018 New York October 2018 https:// unctad.org/en/PublicationsLibrary/rmt2018_en.pdf.

Pallis A A and Vaggelas G K 2019 Cruise shipping and green ports: a strategic challenge In Green Ports (pp. 255-273) Elsevier.

Peisley T 2014 End of the Beginning for Cruising (Colchester: Seatrade Communications Ltd.).

Azid A, Juahir H, Toriman M E, Endut A, Kamarudin M K A, Rahman M N A, Hasnam C N C, Saudi A S M and Yunus K 2015 Source apportionment of air pollution: a case study in Malaysia Jurnal Teknologi 72(1).

Azmi S Z, Latif M T, Ismail A S, Juneng L and Jemain A A 2010 Trend and status of air quality at three different monitoring stations in the Klang Valley, Malaysia Air Quality, Atmosphere & Health 3(1), 53-64.

Dominick D, Juahir H, Latif M T, Zain S M and Aris A Z 2012 Spatial assessment of air quality patterns in Malaysia using multivariate analysis Atmospheric environment 60, 172-81.

Sousa S I V, Martins F G, Alvim-Ferraz M C M and Pereira M C 2007 Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations Environmental Modelling & Software 22(1) 97-103.

Samsudin M S, Azid A, Khalit S I, Saudi A S M and Zaudi M A 2017 river water quality assessment using APCS-MLR and statistical process control in Johor river basin Malaysia Int. J. Adv. Appl. Sci. 4(8), 84-97.

Vega M, Pardo R, Barrado E and Debán L 1998 Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis Water research 32(12), 3581-592.

Retnam A, Zakaria M P, Juahir H, Aris A Z, Zali M A and Kasim M F 2013 Chemometric techniques in distribution, characterisation and source apportionment of polycyclic aromatic hydrocarbons (PAHS) in aquaculture sediments in Malaysia Marine pollution bulletin 69(1-2), 55-66.

Johansson L, Jalkanen J P and Kukkonen J 2017 Global assessment of shipping emissions in 2015 on a high spatial and temporal resolution. Atmospheric Environment 167 403-15.

Jia B, Dong R and Du J 2020 Ozone concentrations prediction in Lanzhou, China, using chaotic artificial neural network. Chemometrics and Intelligent Laboratory Systems 204 104098.