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Next-Generation Smart Response Web (NG-SRW): An Operational Spatial Decision Support System for Maritime Oil Spill Emergency Response in the Gulf of Finland (Baltic Sea)

Author

Listed:
  • Mihhail Fetissov

    (Estonian Marine Institute, University of Tartu, 12618 Tallinn, Estonia)

  • Robert Aps

    (Estonian Marine Institute, University of Tartu, 12618 Tallinn, Estonia)

  • Floris Goerlandt

    (Department of Industrial Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada)

  • Holger Jänes

    (Estonian Marine Institute, University of Tartu, 12618 Tallinn, Estonia)

  • Jonne Kotta

    (Estonian Marine Institute, University of Tartu, 12618 Tallinn, Estonia)

  • Pentti Kujala

    (Marine Technology, School of Engineering, Aalto University, FI-00076 Aalto, Finland)

  • Robert Szava-Kovats

    (Estonian Marine Institute, University of Tartu, 12618 Tallinn, Estonia)

Abstract

The Baltic Sea is a unique and sensitive brackish-water ecosystem vulnerable to damage from shipping activities. Despite high levels of maritime safety in the area, there is a continued risk of oil spills and associated harmful environmental impacts. Achieving common situational awareness between oil spill response decision makers and other actors, such as merchant vessel and Vessel Traffic Service center operators, is an important step to minimizing detrimental effects. This paper presents the Next-Generation Smart Response Web (NG-SRW), a web-based application to aid decision making concerning oil spill response. This tool aims to provide, dynamically and interactively, relevant information on oil spills. By integrating the analysis and visualization of dynamic spill features with the sensitivity of environmental elements and value of human uses, the benefits of potential response actions can be compared, helping to develop an appropriate response strategy. The oil spill process simulation enables the response authorities to judge better the complexity and dynamic behavior of the systems and processes behind the potential environmental impact assessment and thereby better control the oil combat action.

Suggested Citation

  • Mihhail Fetissov & Robert Aps & Floris Goerlandt & Holger Jänes & Jonne Kotta & Pentti Kujala & Robert Szava-Kovats, 2021. "Next-Generation Smart Response Web (NG-SRW): An Operational Spatial Decision Support System for Maritime Oil Spill Emergency Response in the Gulf of Finland (Baltic Sea)," Sustainability, MDPI, vol. 13(12), pages 1-11, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6585-:d:571794
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    References listed on IDEAS

    as
    1. Rodela, Romina & Bregt, Arnold K. & Ligtenberg, Arend & Pérez-Soba, Marta & Verweij, Peter, 2017. "The social side of spatial decision support systems: Investigating knowledge integration and learning," Environmental Science & Policy, Elsevier, vol. 76(C), pages 177-184.
    2. Hedelin, Beatrice & Evers, Mariele & Alkan-Olsson, Johanna & Jonsson, Anna, 2017. "Participatory modelling for sustainable development: Key issues derived from five cases of natural resource and disaster risk management," Environmental Science & Policy, Elsevier, vol. 76(C), pages 185-196.
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