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机构地区:[1]重庆三峡学院化学与环境工程学院,重庆404000 [2]大连海事大学环境信息研究所,辽宁大连116026
出 处:《海洋科学进展》2012年第4期556-566,共11页Advances in Marine Science
基 金:国家科技支撑计划项目子课题--水上溢油遥感识别与监测技术(2006BAC11B01);国家自然科学基金项目--船舶溢油目标光谱重建和识别研究(41071260);重庆市高校创新培育团队项目--三峡库区水质演变与水环境安全
摘 要:在溢油运动模型分析的基础上,确立遥感数据服务于应急所需的时间分辨率,并进一步分析遥感数据处理时间构成,讨论应急反应下的溢油轨迹预测、遥感监测技术的协同,提出优化建议。研究成果在2010-07-16发生的大连新港溢油事件发挥了关键作用,结果表明溢油应急遥感应用时效具有实践可行性及重要性。Time is a critical factor in the response of oil spill emergency because the oil spilled in the sea can rapidly be diffused to a large area by winds and currents in a short time. Since the models for oil-spill traj ectory have uncertainties and some key parameters influencing the accuracy of prediction, e.g. the oil-spill area and position, can change with time, the data from remote sensing are mostly needed. The prediction of oil-spill trajectory and the cooperation with remote sensing techniques are discussed for the response of oil spill emergencies. Based on a model analysis of oil-spill motion, the time resolution needed for the re sponse of oil spill emergencies and resulted from the remote sensing data is determined, a method for re- mote sensing application time is further described and then an optimized proposal is put forward for the time processing by using remote sensing data. This result played a key role in the oil spill event that hap- pened in the Dalian Xingang Port on July 26, 2010. It has been showed that the application of remote sens- ing data for the time effectiveness of oil-spill emergencies is practical and significant.
分 类 号:X834[环境科学与工程—环境工程]
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