Title page for etd-0124113-164204


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URN etd-0124113-164204
Author Chi-hsung Chang
Author's Email Address No Public.
Statistics This thesis had been viewed 5580 times. Download 302 times.
Department Marine Environment and Engineering
Year 2012
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Decision support system for assessing the contingency response capacity of marine oil spill
Date of Defense 2013-01-22
Page Count 76
Keyword
  • emergency response
  • prevention of marine pollution
  • oil removal
  • Expert system
  • Decision support system
  • Integer Linear Programming
  • Abstract Taiwan is surrounded by the sea and is situated in a developing shipping area in Southeast Asia. The increase in navigation around the island leads to a significant increase in the probability of accidents and therefore to the occurrence of pollution events. When oil leakage occurs, it is of utmost importance to remove it as fast as possible. Though the use of physical, chemical and biological methods, men are able to clean the area to its former state. However, when an accident occurs, the processes of communicating, organizing and dispatching human power and equipment often takes a precious time, which reduces the effectiveness of the intervention. In this regard, we present a Decision Support System (DSS) for assessing the contingency response capacity to marine oil spill. This DSS combines an expert system for the evaluation of the equipments that are needed, with a spatial Integer Linear Programming (ILP) model for the selection of these equipments from different storing sites. It is hoped that this DSS can provide decision makers with an increased ability to react quickly to any pollution event, and thus, help protect our coasts from the negative impacts of oil pollution.
    Advisory Committee
  • Ren-Ho Kao - chair
  • Lei Yang - co-chair
  • Yang-Chi Chang - advisor
  • Files
  • etd-0124113-164204.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2013-01-24

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