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Integrating Fuzzy Logic and GIS Analysis to Assess Sediment Characterization within a Confined Harbour

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Computational Science and Its Applications – ICCSA 2009 (ICCSA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5592))

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Abstract

Characterization of marine sediments in areas heavily impacted by human activities is a good example for situations where high complexity of physical and chemical processes can lead to an incomplete understanding of the configuration and distribution of pollutants material. These processes are often very complex for a direct prediction from a mathematical theory, making necessary that the process of identifying areas of contaminated sediment is mainly based on defined empirical models of concentrations distribution. In this paper an ontological fuzzy approach in GIS serves as a framework to define a specific scenario grounded on the abilities from an existing dataset. The final model is based on a large number of known concentrations (samples for characterization), which are considered sufficiently similar in terms of features. Therefore the model is working as guides (description of the model) for the identification of areas of same type.

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Author information

Authors and Affiliations

  1. ISPRA - High Institute for Environmental Protection and Research, Italy

    Nicoletta Gazzea, Andrea Taramelli, Emiliana Valentini & Maria Elena Piccione

  2. Lamont Doherty Earth Observatory of Columbia University, New York, Route 9W, Palisades, NY 10964, USA

    Andrea Taramelli

Authors
  1. Nicoletta Gazzea
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  2. Andrea Taramelli
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  3. Emiliana Valentini
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  4. Maria Elena Piccione
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  2. School of Business Systems, Monash University, 3800, Clayton, Victoria, Australia

    David Taniar

  3. L.I.S.U.T. - D.A.P.I.T., University of Basilicata, Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Beniamino Murgante

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, 06123, Perugia, Italy

    Antonio Laganà

  5. School of Computing, Computer Communication Laboratory, SoongSil University, 1-1 Sang-do 5 Dong, Dong-jak Ku, 156-743, Seoul, Korea

    Youngsong Mun

  6. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

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© 2009 Springer-Verlag Berlin Heidelberg

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Gazzea, N., Taramelli, A., Valentini, E., Piccione, M.E. (2009). Integrating Fuzzy Logic and GIS Analysis to Assess Sediment Characterization within a Confined Harbour. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02454-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-02454-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02453-5

  • Online ISBN: 978-3-642-02454-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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