Lan Dongdong, Liang Bin, Bao Chenguang, Ma Minghui, Xu Yan, Yu Chunyan
National Marine Environmental Monitoring Center, Dalian 116023, China.
National Marine Environmental Monitoring Center, Dalian 116023, China.
Mar Pollut Bull. 2015 Jul 15;96(1-2):220-5. doi: 10.1016/j.marpolbul.2015.05.023. Epub 2015 May 21.
Accidental marine oil spill pollution can result in severe environmental, ecological, economic and other consequences. This paper discussed the model of Marine Oil Spill Risk Mapping (MOSRM), which was constructed as follows: (1) proposing a marine oil spill risk system based on the typical marine oil spill pollution accidents and prevailing risk theories; (2) identifying suitable indexes that are supported by quantitative sub-indexes; (3) constructing the risk measuring models according to the actual interactions between the factors in the risk system; and (4) assessing marine oil spill risk on coastal city scale with GIS to map the overall risk. The case study of accidental marine oil spill pollution in the coastal area of Dalian, China was used to demonstrate the effectiveness of the model. The coastal areas of Dalian were divided into three zones with risk degrees of high, medium, and low. And detailed countermeasures were proposed for specific risk zones.
海上石油意外泄漏污染会导致严重的环境、生态、经济等后果。本文探讨了海上溢油风险映射(MOSRM)模型,其构建如下:(1)基于典型的海上溢油污染事故和主流风险理论提出海上溢油风险系统;(2)识别由定量子指标支持的合适指标;(3)根据风险系统中各因素之间的实际相互作用构建风险测量模型;(4)利用地理信息系统(GIS)在沿海城市尺度上评估海上溢油风险,绘制总体风险图。以中国大连沿海地区海上石油意外泄漏污染的案例研究来证明该模型的有效性。大连沿海地区被划分为高、中、低三个风险程度区域,并针对特定风险区域提出了详细的应对措施。