CFP last date
20 December 2024
Reseach Article

Ship Exhaust Real-Time Monitoring System based on Automatic Identification System

by Arnelio Sergio Mabunda, Abdelali Astito, Salaheddine Hamdoune
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 10
Year of Publication: 2014
Authors: Arnelio Sergio Mabunda, Abdelali Astito, Salaheddine Hamdoune
10.5120/17560-8175

Arnelio Sergio Mabunda, Abdelali Astito, Salaheddine Hamdoune . Ship Exhaust Real-Time Monitoring System based on Automatic Identification System. International Journal of Computer Applications. 100, 10 ( August 2014), 14-17. DOI=10.5120/17560-8175

@article{ 10.5120/17560-8175,
author = { Arnelio Sergio Mabunda, Abdelali Astito, Salaheddine Hamdoune },
title = { Ship Exhaust Real-Time Monitoring System based on Automatic Identification System },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 10 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number10/17560-8175/ },
doi = { 10.5120/17560-8175 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:29:36.671409+05:30
%A Arnelio Sergio Mabunda
%A Abdelali Astito
%A Salaheddine Hamdoune
%T Ship Exhaust Real-Time Monitoring System based on Automatic Identification System
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 10
%P 14-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Maritime traffic is a major source of pollutant gases and we believe that it is important to quantify these gases in order to assess their impact on the environment. This paper proposes a maritime monitoring system able to estimate in real time the emissions of carbon dioxide (CO2) and particulate matter (PM) from ships crossing the Strait of Gibraltar area. The system works based on the Automatic Identification System (AIS) : it consists of an AIS receiver connected to a computer in which was installed an application able to determine, store and display emissions from ships. The computer application was performed according to a method for estimating CO2 and PM emissions from AIS data. The system was installed near the Strait of Gibraltar (exactly in Tangier - Morocco) and tests were carried out for about a month (between March 26 and April 23, 2014). The system recorded emissions from 900 to 4000 tons of CO2 and 2 to 9 tons of PM each day.

References
  1. M. Viana, P. Hammingh, A. Colette, X. Querol, B. Degraeuwe, I. de Vlieger, et J. van Aardenne, « Impact of maritime transport emissions on coastal air quality in Europe », Atmos. Environ. , vol. 90, p. 96?105, juin 2014.
  2. N. Kivekäs, A. Massling, H. Grythe, R. Lange, V. Rusnak, S. D. Carreno, H. Skov, E. Swietlicki, Q. T. Nguyen, M. Glasius, et A. Kristensson, « Contribution of ship traffic to aerosol particle concentrations downwind of a major shipping lane », Atmos Chem Phys Discuss, vol. 14, no 6, p. 8419?8454, mars 2014.
  3. P. S. Yau, S. C. Lee, J. J. Corbett, C. Wang, Y. Cheng, et K. F. Ho, « Estimation of exhaust emission from ocean-going vessels in Hong Kong », Sci. Total Environ. , vol. 431, p. 299?306, août 2012.
  4. J. Jalkanen, A. Brink, J. Kalli, et H. Pettersson, « A modelling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area », Atmospheric Chem. Phys. , vol. 9, no 23, p. 9209?9223, 2009.
  5. T. Pitana, E. Kobayashi, et N. Wakabayashi, « Estimation of exhaust emissions of marine traffic using Automatic Identification System data (case study: Madura Strait area, Indonesia) », in OCEANS 2010 IEEE - Sydney, 2010, p. 1 ?6. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  6. A. S. Mabunda, A. Astito, et S. Hamdoune, « Estimating Carbon Dioxide and Particulate Matter Emissions from Ships using Automatic Identification System Data », Int. J. Comput. Appl. , vol. 88, no 6, p. 27?31, févr. 2014.
  7. F. -M. Bréon et P. Ciais, « Spaceborne remote sensing of greenhouse gas concentrations », Comptes Rendus Geosci. , vol. 342, no 4?5, p. 412?424, avr. 2010.
  8. Z. Cheng, J. Jiang, O. Fajardo, S. Wang, et J. Hao, « Characteristics and health impacts of particulate matter pollution in China (2001–2011) », Atmos. Environ. , vol. 65, p. 186?194, févr. 2013.
  9. International Maritime Organization, « SOLAS'1974, December 2000 amendments ».
  10. P. L. Slingsby, « Modelling tropospheric ducting effects on VHF/UHF propagation », IEEE Trans. Broadcast. , vol. 37, no 2, p. 25?34, juin 1991.
  11. M. Pandolfi, Y. Gonzalez-Castanedo, A. Alastuey, J. D. de la Rosa, E. Mantilla, A. S. de la Campa, X. Querol, J. Pey, F. Amato, et T. Moreno, « Source apportionment of PM10 and PM2. 5 at multiple sites in the strait of Gibraltar by PMF: Impact of shipping emissions », Environ. Sci. Pollut. Res. , vol. 18, no 2, p. 260?269, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Real-time system ship emissions maritime traffic strait of Gibraltar