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Operational satellite monitoring of oil spill pollution in the Southeastern Baltic Sea: 1.5 Years experience

机译:对波罗的海东南部溢油污染进行操作性卫星监测:1.5年的经验

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In June 2003 LUKOIL-Kaliningradmorneft initiated a pilot project, aimed to the complex monitoring of the southeastern Baltic Sea, in connection with a beginning of oil production at continental shelf of Russia in March 2004. Operational monitoring was performed in June 2004–November 2005 on the base of daily satellite remote sensing (AVHRR NOAA, MODIS, TOPEX/Poseidon, Jason-1, ENVISAT ASAR and RADARSAT SAR imagery) of sea surface temperature (SST), sea level, chlorophyll concentration, mesoscale dynamics, wind and waves, and oil spills. As a result a complex information on oil pollution of the sea, SST, distribution of suspended matter, chlorophyll concentration, sea currents and meteorological parameters has been received. In total 274 oil spills were detected in 230 ASAR ENVISAT images (400×400 km, 75 m/pixel resolution) and 17 SAR RADARSAT images (300×300 km, 25 m/pixel resolution) received during 18 months. The interactive numerical model Seatrack Web SMHI (The Swedish Meteorological and Hydrological Institute) was used for a forecast of the drift of (1) all large oil spills detected by ASAR ENVISAT in the southeastern Baltic Sea and (2) virtual (simulated) oil spills from the D-6 platform. The latter was done daily for operational correction of the action plan for accident elimination at the D-6 and ecological risk assessment (oil pollution of the sea and the Curonian Spit). Probability of the oil spill drift directed to the Curonian Spit equals to 67%, but only in a half of these cases oil spills could reach the coast during 48 h after an accidental release of 10 m of oil.
机译:2003年6月,LUKOIL-Kaliningradmorneft启动了一个试点项目,旨在对波罗的海东南部进行复杂的监测,与2004年3月在俄罗斯大陆架开始生产石油有关。2004年6月至2005年11月进行了运行监测。每日卫星遥感(AVHRR NOAA,MODIS,TOPEX / Poseidon,Jason-1,ENVISAT ASAR和RADARSAT SAR图像)的基础,这些数据包括海面温度(SST),海平面,叶绿素浓度,中尺度动态,风浪漏油。结果,收到了有关海洋石油污染,海表温度,悬浮物分布,叶绿素浓度,海流和气象参数的综合信息。在18个月内,共收到230幅ASAR ENVISAT图像(400×400 km,75 m /像素分辨率)和17幅SAR RADARSAT图像(300×300 km,25 m /像素分辨率),共检测到274次漏油。交互式数值模型Seatrack Web SMHI(瑞典气象水文研究所)用于预测(1)由ASAR ENVISAT在波罗的海东南部检测到的所有大型溢油和(2)虚拟(模拟)溢油的漂移。来自D-6平台。后者每天进行一次,以纠正D-6事故消除的行动计划并进行生态风险评估(海洋和库尔斯沙嘴的油污)。定向至库尔斯沙嘴的溢油漂移的概率等于67%,但仅在其中一半情况下,意外泄漏10 m的石油后48小时内,溢油才能到达海岸。

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