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Waste Management and Embarked Staff

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Abstract

This case study intends to carry out an analysis of the waste management of the Portuguese Navy ships, limiting the study to the residues referring in Annexes I, IV and V of Marpol 73/78 [4], where the pollution by hydrocarbons, sewage and all types of garbage is approached. Methods and forms are analyzed of how the storage and treatment of ship waste is carried out, checking the existing equipment, its operational status and whether there is an on-board waste management plan. However, it is not enough to assess the materials and procedures. The knowledge and cooperation of the military on board for the environment are also determinants. It was built and implemented a questionnaire to the garrison of some selected NRP ships after permission of the Commander of Portuguese Surface Fleet. We have applied an exploratory factorial analysis (EFA) so we could identify the major questions contributions to the latent variables that explain literacy about waste management in ships. An analysis of variance was applied so we could get significant independent variables that contribute to explain the selected factors.

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Acknowledgements

This work was supported by Portuguese funds through the Center of Naval Research (CINAV), Portuguese Naval Academy, Portugal and The Portuguese Foundation for Science and Technology (FCT), through the Center for Computational and Stochastic Mathematics (CEMAT), University of Lisbon, Portugal, project UID/Multi/04621/2019.

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Correspondence to M. Filomena Teodoro .

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Teodoro, M.F., Rebelo, J.B., Lampreia, S. (2020). Waste Management and Embarked Staff. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12251. Springer, Cham. https://doi.org/10.1007/978-3-030-58808-3_36

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  • DOI: https://doi.org/10.1007/978-3-030-58808-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58807-6

  • Online ISBN: 978-3-030-58808-3

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