基于貝葉斯網(wǎng)絡的港口船舶溢油風險評價及應用研究
本文選題:船舶溢油 + 風險; 參考:《武漢理工大學》2013年碩士論文
【摘要】:船舶溢油事故已成為造成海洋環(huán)境污染的主要因素之一。頻繁發(fā)生的船舶溢油事故嚴重危害海洋生態(tài)系統(tǒng),使當?shù)貪O業(yè)、水產(chǎn)養(yǎng)殖業(yè)、旅游業(yè)等蒙受慘重的經(jīng)濟損失,對經(jīng)濟發(fā)展與海洋環(huán)境保護極為不利。因而,進行船舶溢油事故風險評價及風險防范措施的研究,尤其在港口溢油應急設備配備和溢油應急計劃的制定階段開展此項工作,將有助于更好地進行港口船舶溢油風險管理與決策,對海洋環(huán)境保護具有重要的學術價值和現(xiàn)實意義。 本論文在對前人研究工作進行總結和分析的基礎上,基于運籌學、環(huán)境評價學和環(huán)境管理學等多學科的理論,首次利用貝葉斯網(wǎng)絡的數(shù)據(jù)挖掘能力進行港口船舶溢油風險評價。本文通過分析近年我國沿海港口發(fā)生的船舶溢油事故和險情數(shù)據(jù),將溢油事故按照操作性溢油事故和海損性溢油事故分類來進行研究,得出了導致兩類船舶溢油事故發(fā)生的致因因素,進而確定各因素之間的因果關系,建立起兩類船舶溢油風險貝葉斯網(wǎng)絡模型,利用HUGIN軟件進行網(wǎng)絡概率推理,根據(jù)推理結果,得出評價海域內(nèi)兩類船舶溢油風險水平和導致兩類船舶溢油事故的敏感致因因素,找出關鍵的控制點,為降低溢油風險提出相應的措施和建議。最后,將網(wǎng)絡模型應用于寧波—舟山港六橫港區(qū)的案例研究,預測與評價六橫港區(qū)兩類船舶溢油風險,預測結果與實際情況基本吻合。 ’本文的研究成果有助于提高港口溢油污染應對能力和完善整個港口水域域污染應急計劃,同時可以為海事管理部門提供參考。
[Abstract]:Ship oil spill accident has become one of the main factors of marine environmental pollution. The frequent oil spills of ships seriously harm the marine ecosystem and cause heavy economic losses to local fisheries aquaculture tourism and so on which are extremely disadvantageous to economic development and marine environmental protection. Therefore, risk assessment and risk prevention measures for oil spill accidents are studied, especially in the stage of port oil spill emergency equipment equipping and oil spill emergency planning. It will be helpful for better management and decision making of oil spill risk of port ships, and will be of great academic value and practical significance to marine environmental protection. On the basis of summarizing and analyzing the previous research work, based on the theories of operational research, environmental evaluation and environmental management, this paper firstly uses the data mining ability of Bayesian network to evaluate the oil spill risk of port ships. Based on the analysis of ship oil spill accidents and risk data in coastal ports of China in recent years, the oil spill accidents are classified according to operational oil spill accidents and average oil spill accidents. The cause factors of two kinds of ship oil spill accidents are obtained, and the causality between them is determined. The Bayesian network model of the two kinds of ship oil spill risk is established, and the network probability reasoning is carried out by using HUGIN software, according to the result of inference. The risk level of oil spill of two kinds of ships in the sea area and the sensitive factors leading to oil spill accidents of two kinds of ships are evaluated, and the key control points are found out, and the corresponding measures and suggestions for reducing oil spill risk are put forward. Finally, the network model is applied to the case study of Ningbo-Zhoushan Port, and two types of ship oil spill risk are forecasted and evaluated. The prediction results are in good agreement with the actual situation. The research results of this paper are helpful to improve the response ability of oil spill pollution and improve the pollution emergency plan of the whole port water area, and can also provide a reference for the maritime administration department.
【學位授予單位】:武漢理工大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:U698.7
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