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• W2890638 abstract "Millions of tons of oil are produced in the world every year and over half of it istransported to the users by means of marine routes. Based on statistics, a best estimate ofoil spill is more than 3 million tons per year. Oil spills cause disastrous impacts on theenvironment, ecology and socio-economic activities. The right decision has to be madein the event of an oil spill to facilitate prompt action, considering the priorities ofprotection, to prevent environmental damages. Interest in having modern, technologicalmanagement system in semi-structured fields such as disastrous incidents is increasingrapidly. Response decision support is a mechanism utilizing a knowledge-based plan to choose the most suitable method of response by analyzing the various sensitivity factors,parameters affecting oil spill impacts, environmental concerns in oil spill response, andconsequence monitoring and clean-up operations in the shortest time. Environmentalsensitivity index (ESI), a traditional scale, is mostly a static scale for evaluation ofcoastal situation. It requires calibration along with oil nature and impact in each spillcase to be able of priority displaying in action. This study aimed to develop a semiautomaticknowledge-based decision support mechanism to retrieve experts’ knowledgefor prioritization in responding to oil spill events. A tool was needed to classifyinformation about knowledge and expertise in this field and follow the rational logic ofmaster minds and could be transferable. The knowledge and expertise fromknowledgeable participants were obtained through questionnaires and direct interviewsas well as information from literatures. Three objectives were covered by the studyincluding ranking of sensitivity-oil-response criteria, development of coastal priorityranking (CPR) scale, and establishment of a validated computer-based mechanism foroil spill response (OSR-DSM). Analyses of questions were conducted using Delphimethod, Likert scaling, and repertory grid analysis. The evaluation of knowledge levelprovided the normalized weights (from 0.09 to 1.0) for respondents’ knowledge andthese weights were applied to criteria ranking. Considering two objects of environmentand oil, priority ranking matrix was established and CPR scale was calculated based onthe fact that various “low/ medium/ high” impacting scenarios of oil can affect thecorresponding “low/ medium/ high” sensitive resources. One program was designed tovisualize DSM with computation of ESI, coastal sensitivity, oil impact, and CPR valuesas well as reporting on response alternatives. The advantage of CPR scale method wasits ability for a more dynamic quantitative evaluation of priorities in application time rather than only explaining sensitivity indices of area. The scale for CPR was evaluatedranging from 35 to 469 and the values were qualitatively categorized from low priorityto medium, high, very high and extremely high priorities. Three major categories wererenowned for responses alternatives - on-sea response or preventive activities, shorelineprotective activities, and on-coast response or cleanup activities. Results were verified topresent the inclusiveness, accuracy, and system algorithm. The verification activityinvolved exploring the knowledge base, coding of reasoning processes / inferenceengine, technical performance, ability for development, and interface. A total of 80percent of users in the verification phase believed that development of such mechanismwas a right approach for supporting the right decision in oil spill responses, either byincreasing the speed and accuracy in evaluation or reducing the cost. Verificationresearch could attain rates of over 50 percent in all five categories. General rates givento the mechanism by two groups of users were 82 and 85 percent with a + 3.66 percentof uncertainty that was issued a high verification value. This study has resulted in twomain products: - coastal priority ranking scale (CPR) and oil spill response decisionsupporting mechanism (OSR-DSM). It is intended to facilitate the oil spill responseprocess while at the same time improves the decision-making quality by applying theeffective knowledge and expertise in oil spill response procedures. Definition ofknowledge criteria leading to classification of knowledgeable participants, as well asnumerical verification frame for qualitative knowledge-base mechanism were twosignificant outputs of this study." @default.
• W2890638 created "2016-06-24" @default.
• W2890638 creator A5013232210 @default.
• W2890638 date "2008-07-01" @default.
• W2890638 modified "2023-09-26" @default.
• W2890638 title "Coastal Priority Ranking in Oil Spill Response Decision Support Mechanism" @default.
• W2890638 hasPublicationYear "2008" @default.
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