Staff View: Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data

Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data

Global warming and air pollution have become one of the important issues to the entire world community. Exhaust emissions from ships has been contributing to the health problems and environmental damage. This study focuses on the Strait of Malacca area because it is one of the world’s most congested...

Full description

Saved in:

Bibliographic Details
Main Author:	Saputra, Hendra
Format:	Thesis
Language:	English
Published:	2013
Subjects:	VM Naval architecture. Shipbuilding. Marine engineering
Online Access:	http://eprints.utm.my/id/eprint/42117/1/HendraSaputraMFKM2013.pdf http://eprints.utm.my/id/eprint/42117/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.42117
record_format	eprints
spelling	my.utm.421172017-09-17T01:55:45Z http://eprints.utm.my/id/eprint/42117/ Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data Saputra, Hendra VM Naval architecture. Shipbuilding. Marine engineering Global warming and air pollution have become one of the important issues to the entire world community. Exhaust emissions from ships has been contributing to the health problems and environmental damage. This study focuses on the Strait of Malacca area because it is one of the world’s most congested straits used for international shipping where located on the border among three countries of Indonesia, Malaysia and Singapore. The study seeks to estimate of the exhaust emission and to know the concentration of emission to several areas around. This is accomplished by evaluating the density of shipping lanes in the Straits of Malacca by using the data which obtained by Automatic Identification System (AIS). To show the movement patterns of ships, operational mode and influence of the ship movement to the distribution of emissions are integrating of AIS data and GIS software. MEET methodology is used to estimate emissions from ships and Gaussian Puff Model used to estimates the concentration in several areas around the Strait. The results show 813 total number of ships through the Strait of Malacca on 2 September 2011 at 07.00 am-08.00 am produces exhaust emission for NOx, CO, CO2, VOC, PM and SOx are about 13715.51 g/second, 25461.525 g/second, 11092.99 g/second, 5858.216 g/second, 415.304 g/second and 6921.746 g/second, respectively. The ships under the Singapore flag contribute approximately 22.72% of total emissions in the Strait of Malacca followed by Panama and Liberia flag approximately 21.32%, 12.89%, respectively. Ships under Malaysia and Indonesia rank of sixth and seventh respectively of the emission rates. The most high-risk areas which affected by the emissions are Sentosa Island (Singapore), Port of Pasir Gudang (Malaysia) and Jurong Island (Singapore) with approximately contaminated about 47.33%, 21.68% and 17.69%, respectively of total emission and other areas around the Strait represent below 1%. 2013-01 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/42117/1/HendraSaputraMFKM2013.pdf Saputra, Hendra (2013) Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data. Masters thesis, Universiti Teknologi Malaysia, Faculty of Mechanical Engineering.
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	VM Naval architecture. Shipbuilding. Marine engineering
spellingShingle	VM Naval architecture. Shipbuilding. Marine engineering Saputra, Hendra Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data
description	Global warming and air pollution have become one of the important issues to the entire world community. Exhaust emissions from ships has been contributing to the health problems and environmental damage. This study focuses on the Strait of Malacca area because it is one of the world’s most congested straits used for international shipping where located on the border among three countries of Indonesia, Malaysia and Singapore. The study seeks to estimate of the exhaust emission and to know the concentration of emission to several areas around. This is accomplished by evaluating the density of shipping lanes in the Straits of Malacca by using the data which obtained by Automatic Identification System (AIS). To show the movement patterns of ships, operational mode and influence of the ship movement to the distribution of emissions are integrating of AIS data and GIS software. MEET methodology is used to estimate emissions from ships and Gaussian Puff Model used to estimates the concentration in several areas around the Strait. The results show 813 total number of ships through the Strait of Malacca on 2 September 2011 at 07.00 am-08.00 am produces exhaust emission for NOx, CO, CO2, VOC, PM and SOx are about 13715.51 g/second, 25461.525 g/second, 11092.99 g/second, 5858.216 g/second, 415.304 g/second and 6921.746 g/second, respectively. The ships under the Singapore flag contribute approximately 22.72% of total emissions in the Strait of Malacca followed by Panama and Liberia flag approximately 21.32%, 12.89%, respectively. Ships under Malaysia and Indonesia rank of sixth and seventh respectively of the emission rates. The most high-risk areas which affected by the emissions are Sentosa Island (Singapore), Port of Pasir Gudang (Malaysia) and Jurong Island (Singapore) with approximately contaminated about 47.33%, 21.68% and 17.69%, respectively of total emission and other areas around the Strait represent below 1%.
format	Thesis
author	Saputra, Hendra
author_facet	Saputra, Hendra
author_sort	Saputra, Hendra
title	Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data
title_short	Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data
title_full	Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data
title_fullStr	Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data
title_full_unstemmed	Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data
title_sort	estimation and distribution of exhaust ship emission from marine traffic in the straits of malacca and singapore using automatic identification system (ais) data
publishDate	2013
url	http://eprints.utm.my/id/eprint/42117/1/HendraSaputraMFKM2013.pdf http://eprints.utm.my/id/eprint/42117/
_version_	1643650803235291136
score	13.211869

Estimation and distribution of exhaust ship emission from marine traffic in the Straits of Malacca and Singapore using Automatic Identification System (AIS) data

Similar Items