• DocumentCode
    1827054
  • Title

    Coastal vulnerability to Sea Level Rise: A spatio-temporal decision making tool

  • Author

    Sahin, Oz ; Mohamed, Sherif

  • Author_Institution
    Sch. of Eng., Griffith Univ., Gold Coast, QLD, Australia
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    89
  • Lastpage
    93
  • Abstract
    Due to uncertainty in the timing and magnitude of Sea Level Rise (SLR) impacts, it is difficult to determine whether taking a specific action to prepare for SLR is justified. The dilemmas confronting decision makers are: when, where and how to adapt to SLR. To address these issues, this research introduces a recently developed model linking Geographical Information Systems (GIS) with System Dynamics (SD) modelling to present realistic time series scenarios of SLR across coastal communities. The hybrid GIS-SD model provides a multifaceted assessment by going beyond detailing year specific land use impacts through linking these outputs with socio-economic SD modules. As a result, the model provides the potential to address temporal and spatial problems concurrently. The methodology formulated from this assessment process, could potentially be utilised by coastal communities to identify and evaluate effective adaptation alternatives for reducing SLR impacts, and to inform long-term decision making.
  • Keywords
    decision making; geographic information systems; hazardous areas; sea level; socio-economic effects; time series; coastal vulnerability; geographical information systems; hybrid GIS-SD model; realistic time series scenarios; sea level rise; socio-economic SD module; spatio-temporal decision making tool; system dynamics modelling; Adaptation model; Computational modeling; Floods; Geographic Information Systems; Meteorology; Sea level; Sea measurements; Decision making; Dynamic modelling; SLR; Vulnerability Assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674432
  • Filename
    5674432