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Early Warning Systems and Geospatial Tools: Managing Disasters for Urban Sustainability

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Sustainable Cities and Communities

Part of the book series: Encyclopedia of the UN Sustainable Development Goals ((ENUNSDG))

Definition

An early warning system (EWS) is a disaster prediction information tool, used in different fields to acquire and communicate timely and useful warning information for predicted severe events or disasters. This could be as a result of natural factors, geophysical or biological hazard, sociopolitical factors, industrial hazard, and personal health risk factors, among other related disasters or hazards. The United Nations Office for Disaster Risk Reduction defines EWS as a framework which enables the generation and dissemination of timely and meaningful warning information to the likely areas to be faced by any form of disaster to facilitate preparedness and timely and appropriate response (United Nations Office for Disaster Risk Reduction 2006). The objective of an early warning system is to provide warnings to vulnerable people on a predicted natural or anthropogenic hazard or disaster to reduce possible harm or loss (United Nations Office for Disaster Risk Reduction 2006;...

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Author information

Authors and Affiliations

  1. Geospatial Analysis and Modelling (GAM) Research Group, Department of Civil and Environmental Engineering, UTP, Seri Iskandar, Perak, Malaysia

    S. Yekeen & A. Balogun

  2. Department of Geomatics Engineering Technology, Yanbu Industrial College, Yanbu, Saudi Arabia

    Y. Aina

Authors
  1. S. Yekeen
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  2. A. Balogun
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  3. Y. Aina
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Corresponding author

Correspondence to S. Yekeen .

Editor information

Editors and Affiliations

  1. European School of Sustainability, Hamburg University of Applied Sciences, Hamburg, Hamburg, Germany

    Walter Leal Filho

  2. Center for Neuroscience & Cell Biology, University of Coimbra, Coimbra, Portugal

    Anabela Marisa Azul

  3. Faculty of Engineering and Architecture, Passo Fundo University Faculty of Engineering and Architecture, Passo Fundo, Brazil

    Luciana Brandli

  4. Istinye University, Istanbul, Turkey

    Pinar Gökcin Özuyar

  5. International Centre for Thriving, University of Chester, Chester, UK

    Tony Wall

Section Editor information

  1. Department of Architecture, School of Engineering and Architecture, Alma Mater Studiorum – University of Bologna, Bologna, Italy

    Elisa Conticelli

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Yekeen, S., Balogun, A., Aina, Y. (2020). Early Warning Systems and Geospatial Tools: Managing Disasters for Urban Sustainability. In: Leal Filho, W., Azul, A., Brandli, L., Özuyar, P., Wall, T. (eds) Sustainable Cities and Communities. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham. https://doi.org/10.1007/978-3-319-71061-7_103-2

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  • DOI: https://doi.org/10.1007/978-3-319-71061-7_103-2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71061-7

  • Online ISBN: 978-3-319-71061-7

  • eBook Packages: Springer Reference Earth and Environm. ScienceReference Module Physical and Materials ScienceReference Module Earth and Environmental Sciences

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Chapter history

  1. Latest

    Early Warning Systems and Geospatial Tools: Managing Disasters for Urban Sustainability
    Published:
    22 November 2019

    DOI: https://doi.org/10.1007/978-3-319-71061-7_103-2

  2. Original

    Early Warning Systems and Geospatial Tools: Managing Disasters for Urban Sustainability
    Published:
    17 October 2019

    DOI: https://doi.org/10.1007/978-3-319-71061-7_103-1

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