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Environmental Impact of Ship Emissions Based on AIS Big Data for the Port of Rio de Janeiro

  • Maricruz A. Fun Sang CepedaEmail author
  • Gabriel P. Monteiro
  • João V. M. de Oliveira Moita
  • Luiz Felipe Assis
  • Jean-David Caprace
Conference paper

Abstract

Automatic Identification System (AIS) data records a huge quantity of information regarding the safety and security of ships and port facilities in the international maritime transport sector. However, this big database is not only useful for the security of ships operations and port facilities. It can also be helpful for other important functions in maritime traffic such as reducing environmental impacts, improve the logistics and analyses compliance with current International Maritime Organization (IMO) regulations. This study develops an analytical approach to quantify the impacts of ship emissions in the Guanabara Bay of Rio de Janeiro (Brazil) using AIS database as well as life cycle assessment (LCA) tool. The paper describes a method in two steps. First, the inventory of ship emissions is evaluated and geolocated with AIS data through the assessment of fuel consumption calculated for each individual vessel. Then, the impact of the emissions is assessed with the ReCiPe LCA method that translates emissions into a limited number of environmental impact scores by means of so-called characterization factors. The results show that the proposed methodology is efficient to estimate the environmental impact of ship emissions over the Rio de Janeiro Port area. We suggest that quantifying the number of emissions from ships in order to fulfil IMO regulations and reduce the health impacts of people who are living in surrounding areas of high maritime traffic is important for decision makers and for the maritime authorities to improve their strategies.

Keywords

Ship emissions Environmental impact Automatic Identification System Bigdata Marine traffic ReCiPe method LCIA LCA 

Notes

Acknowledgements

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.COPPEFederal University of Rio de Janeiro, UFRJRio de JaneiroBrazil

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