ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 21–27, 2018
https://doi.org/10.5194/isprs-annals-IV-3-21-2018
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 21–27, 2018
https://doi.org/10.5194/isprs-annals-IV-3-21-2018

  23 Apr 2018

23 Apr 2018

DEVELOPING AN EMERGENCY RESPONSE MODEL FOR OFFSHORE OIL SPILL DISASTER MANAGEMENT USING SPATIAL DECISION SUPPORT SYSTEM (SDSS)

Abdul-Lateef Balogun, Abdul-Nasir Matori, and Kelvin Wong Toh Kiak Abdul-Lateef Balogun et al.
  • Geospatial Analysis and Modelling Research Group (GAMR), Dept. of Civil and Environmental Engineering, 32610 Seri Iskandar, Malaysia

Keywords: Disaster Management, Emergency Response, ESR, Oil Spill, SDSS

Abstract. Environmental resources face severe risks during offshore oil spill disasters and Geographic Information System (GIS) Environmental Sensitivity Index (ESI) maps are increasingly being used as response tools to minimize the huge impacts of these spills. However, ESI maps are generally unable to independently harmonize the diverse preferences of the multiple stakeholders’ involved in the response process, causing rancour and delay in response time. This paper’s Spatial Decision Support System (SDSS) utilizes the Analytic Hierarchy Process (AHP) model to perform tradeoffs in determining the most significant resources to be secured considering the limited resources and time available to perform the response operation. The AHP approach is used to aggregate the diverse preferences of the stakeholders and reach a consensus. These preferences, represented as priority weights, are incorporated in a GIS platform to generate Environmental sensitivity risk (ESR) maps. The ESR maps provide a common operational platform and consistent situational awareness for the multiple parties involved in the emergency response operation thereby minimizing discord among the response teams and saving the most valuable resources.