Full text: Proceedings, XXth congress (Part 2)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
As well, some criteria affecting on choosing of oil response 
methods including of equipments, responding teams, 
environmental considerations, and cost were considered as base 
for knowledge acquisition from Malaysian Marine Department 
and Department of Environment, as the major responsible 
authorities in oil spill cases. 
The whole system is being designed based on experts' 
knowledge and experiences and validating some sample 
scenarios and selected historical cases, which will be presented 
in conference. 
5. CONCLUSION 
The oil spill management system aims to achieve a knowledge- 
based system which can choose the most suitable method of 
response in shorter time by analyzing the various sensitivity 
factors of coastal environment, affecting parameters on oil spill 
movement, environmental concerns in oil spill response, and 
consequent monitoring and clean-up measurements. The 
developed system would be able to provide a reasonable ‘any- 
time’ mechanism so that in most cases some reasonable 
response actions can be put forward. The system is useful in 
speeding of response actions especially in the regions which 
still suffer from the shortage of enough experts for responding 
the disasters. 
REFERENCE 
Douligeris, C. et al. 1995. Development of OSIMS: an oil spill 
information management system. Spill Science & Technology 
Bulletin, Vol. 2, No. 4, pp. 255-263. 
Etkin, D.S., & Welch, J. 1997. Oil spill intelligence report 
international oil spill database: trends in oil spill volumes and 
frequency. Proceedings 1997 International Oil Spill 
Conference, pp. 949-952. 
Fabbri, K.P. 1998. A methodology for supporting decision 
making in integrated coastal zone management. Journal of 
Ocean & Coastal Management. 1998: vol. 39, pp. 51-62. 
Geng, L: Z. Chen: C.W. Chan; G.H. Huang. 2001. An 
intelligent decision support system for management of 
petroleum — contaminated sites. Expert System with 
Applications. Vol. 20, pp. 251-260. 
Hernandez, J.Z.; J.M. Serrano. 2001 . Knowledge-based models 
for emergency management systems. Expert Systems with 
Applications, Vol. 20, Issue 2, pp. 173-186.Elseviet Science 
Ltd. 
Keenan, P. 1997: Using a GIS as a DSS generator. Department 
of Management Information Systems, University. College 
Dublin, Working paper MIS 95-9, 1997. 
277 
  
Li, J. 2001. A GIS planning model for urban oil spill 
management. Water Science and Technology: a journal of the 
international association on water pollution research. Vol. 43. 
Issue 5, pp. 239-244. 
Li, Y. Brimicombe, AJ: Rlphs, M.P. 2000. Spatial data 
quality and sensitivity analysis in GIS and environmental 
modeling: the case of coastal oil spills. Computers, 
Environment and Urban Systems, Vol. 24, Issue 2. pp. 95- 108. 
Pourvakhshouri, S.Z.; S. Mansor. 2003. Decision support 
system in oil spill cases (literature review). Disaster Prevention 
and Management, Vol. 12, No. 3, pp. 217- 221. 
 
	        
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