马红娜, 李彦娥, 武征. 成品油管道泄漏的环境风险评价[J]. 油气储运, 2011, 30(11): 801-804. DOI: CNKI:13-1093/TE.20110913.1825.007
引用本文: 马红娜, 李彦娥, 武征. 成品油管道泄漏的环境风险评价[J]. 油气储运, 2011, 30(11): 801-804. DOI: CNKI:13-1093/TE.20110913.1825.007
Ma Hongna, Li Yane, Wu Zheng. Environmental risk evaluation of leaked products pipeline[J]. Oil & Gas Storage and Transportation, 2011, 30(11): 801-804. DOI: CNKI:13-1093/TE.20110913.1825.007
Citation: Ma Hongna, Li Yane, Wu Zheng. Environmental risk evaluation of leaked products pipeline[J]. Oil & Gas Storage and Transportation, 2011, 30(11): 801-804. DOI: CNKI:13-1093/TE.20110913.1825.007

成品油管道泄漏的环境风险评价

Environmental risk evaluation of leaked products pipeline

  • 摘要: 成品油管道一旦发生泄漏事故,将会对沿线河流、居民密集区以及并行管道等产生严重影响。以长庆石化成品油外输管道为例,采用溢油覆盖水面的面积和油膜厚度作为评价指标,对成品油管道泄漏事故对地表水的影响进行定量预测,结果表明:成品油管道大规模泄漏入河时,油膜厚度中度污染,油膜面积较大,将对河流造成较严重的污染。采用事件树法分析了成品油管道事故对与其并行的管道可能造成的影响,事故量化计算结果表明:成品油管道事故导致其并行管道出现泄漏事故的概率为1.1×10-5,出现火灾事故的概率为3.8×10-6。同时提出管道泄漏的风险防范和应急措施,对该类项目环境风险评价有一定的指导作用。

     

    Abstract: The leaked products pipeline will absolutely have major affects on rivers along the pipeline, dense residential area and the other paralleled pipelines. Taking the products pipeline in Changqing Petrochemical Corporation as an example, quantitative prediction on the influence of leaked pipeline on the surface water is carried out based on the evaluation indexes in the proportion of water surface covered by spilled oil and the oil film thickness. Prediction conclusion shows that when the massive leaks brought in directly the river will seriously pollute the rivers in the case of medium oil film thickness with large-scale oil film. The possible influence of leaked pipeline on its parallel pipeline is analyzed by the event-tree method. Results from the quantitative computation for the event indicate that the event probability of leaked pipeline will be at 1.1×10-5 on its parallel pipeline, and the fire probability is at 3.8×10-5. Therefore, the measures against the pipeline leakage risk will instruct the environment risk assessment in this kind of leakage event.

     

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