Marine Traffic Density Over Port Klang, Malaysia Using Statistical Analysis Of AIS Data:  A Preliminary Study

Mustaffa, M.; Abas, Munawwarah; Ahmad, Suriati; Aini, Nazli Ahmad; Abbas, Wan Faezah; Abdullah, Syahrul Afzal Che; Razak, Nur Idora Abd.; Darusk, Mohamad Yusof

doi:10.5505/jems.2016.60352

Cited by 7 publications

(7 citation statements)

References 7 publications

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“…For instance, CA21B station, which is located in the Klang Valley area, an urban site near to the country's busiest shipping port -Port Klang, frequently has the highest concentration of PM10 (Rahman et al, 2015;Mohtar et al, 2018). Port Klang is the central logistical hub of Malaysia and one of the busiest ports in the world and Southeast Asia (Soon and Lam, 2013;Mustaffa et al, 2016).…”

Section: A C C E P T E D Mmentioning

confidence: 99%

Spatiotemporal Variations of Particulate Matter and their Association with Criteria Pollutants and Meteorology in Malaysia

Mohtar

Latif

Dominick

et al. 2022

Aerosol Air Qual. Res.

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Fine particulate matter (PM2.5) poses a higher risk to human health than coarse particulate matter (PM10). This study aims to determine the spatiotemporal variations of PM2.5 and PM10 in Malaysia and their association with other criteria pollutants and meteorological factors. Hourly data from air quality monitoring stations for the year 2018 were retrieved from the Malaysian Department of Environment and analysed for temporal and spatial scales according to different regions in Malaysia. Further statistical analyses, such as Spearman's Rank Correlation and Principal Component Analysis (PCA), were conducted to study the associations between PM2.5 and PM10 with other main criteria air pollutants, as well as meteorological parameters. Higher mean concentrations of PM2.5 (23 ± 8 µg/m 3 , range = 4.6 -158 µg/m 3 ) and PM10 (32 ± 10 µg/m 3 , range = 6.0 -181µg/m 3 ) were observed in the central region of the Malaysian Peninsula. The diurnal patterns of PM2.5 and PM10 were in a bimodal pattern and influenced by traffic emissions. The highest mean PM2.5 and PM10 concentrations were recorded during the southwest monsoon season, notably in the central region. The Spearman's Rank Correlation shows that NO2 and CO have a moderately positive correlation (p < 0.01) with PM2.5 (r = 0.47) and PM10 (r = 0.48) in the central regions while all meteorological parameters show significantly weak to very weak correlations with PM. The PCA analysis indicates that the major sources leading to the formation of particulate matter are from the contribution of secondary aerosols and combustion-related sources. The ratio of PM2.5 to PM10 ranged between 0.51 and 0.76 nationwide with the highest mean recorded in the central region (0.72). This study indicates that there is a higher abundance of fine particulate in the

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Section: A C C E P T E D Mmentioning

confidence: 99%

Spatiotemporal Variations of Particulate Matter and their Association with Criteria Pollutants and Meteorology in Malaysia

Mohtar

Latif

Dominick

et al. 2022

Aerosol Air Qual. Res.

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“…Mapping of ship movements is performed according to ship types and the type of a ship can be identified by the 'ShipandCargo' column. The ship and cargo codes are grouped according to the ship types as listed in Table 2 Unspecified 0, 10,11,12,13,14,15,16,17,18,19 All types of Ships…”

Section: The Model Of the Studymentioning

confidence: 99%

“…The AIS is developed as a tool that allows for the instant monitoring of ships, as well as the analysis of marine traffic by using historical data gathered through these devices. It is possible to map the marine traffic density [26,19,27], calculate the probability of collision and/or grounding [10,6,18,14], carry out the analysis of marine traffic and reveal the intense areas [13,17,1,12] by means of the AIS data.…”

Section: Introductionmentioning

confidence: 99%

Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea

Kundakci

Nas

2018

Polish Maritime Research

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Automatic Identification System (AIS) data is used for monitoring the movements of vessels live movements through instant transmission of vessel information while, at the same time, historical AIS data is used for marine traffic analysis by researchers. There are several methods and computer programs developed for the analysis of marine traffic by the use of AIS data. Combining the intersection algorithm proposed by Antonio (1992) and distance calculation method, this study develops a method to analyse vessel distribution on a selected cross sectional line (SCS) in the Northern Aegean Sea. As a complementary to the new methods proposed, a desktop application is developed in C# programming language to visualize the vessel distribution on the SCS line. SQL server is used for AIS data storage and analysis. The study is conducted over 7-day AIS data, specifically 2.382.469 rows and 42.884.442 data in total, belonging to the Northern Aegean Sea marine traffic. As a result, the mapping of the movements of different types of vessels in the Northern Aegean Sea is effectively performed and Frequency-Distance, Draught-Distance, SOG-Distance, SOG-COG distributions on the SCS line are successfully analysed by the new method introduced.

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“…There are many studies on highly detailed AIS data. While in some studies these data are used to map the global shipping density (L. Wu et al, 2017) in some other studies they are used to map or analyse the regional marine traffic (Mustaffa et al, 2015) or fishing vessel traffic (Natale et al, 2015) or only statistical analyses have been carried out (Mustaffa et al, 2016). AIS data are also used to make comparison about the ship behaviours in narrow waterway and wide waterway (Xiao et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Vessel Traffic Characteristics Analysis on the Cross-section of the 1915 Çanakkale Bridge at the Strait of Çanakkale

Kundakci

Nas²

2022

International Journal of Environment and Geoinformatics

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The 1915 Çanakkale Bridge is being built on two main towers using the suspension bridge technique. It is seen that the Europe Tower is located within the southern separation scheme and the Asia Tower is located outside the northern separation scheme. The main purpose of this study is to analyse the existing marine traffic on the cross-sectional line where the bridge towers are located and the possible effects of the bridge towers on the marine traffic. For these analyses Automatic Identification System (AIS) data of 2016 and the software program which was developed with intersection algorithm has been used. In the analyses, the axis of the bridge towers on the sea has been taken as a cross-section and divided into slots of 50 meters each. The ship distribution on the crosssectional line and relation of the vessel size and the preferred slots by the ships have been revealed.

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Marine Traffic Density Over Port Klang, Malaysia Using Statistical Analysis Of AIS Data: A Preliminary Study

Abstract: Port Klang Malaysia is the 13th busiest port in the world

Cited by 7 publications

References 7 publications

Spatiotemporal Variations of Particulate Matter and their Association with Criteria Pollutants and Meteorology in Malaysia

Spatiotemporal Variations of Particulate Matter and their Association with Criteria Pollutants and Meteorology in Malaysia

Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea

Vessel Traffic Characteristics Analysis on the Cross-section of the 1915 Çanakkale Bridge at the Strait of Çanakkale

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