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REVIEW OF NEW DEVELOPMENTS FOR OIL SPILL REMOTE SENSING

机译:回顾溢油遥感的新发展

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摘要

Remote-sensors for application to oil spills are assessed and new developments summarized. A common sensor is an infrared camera or an IR/UV (infrared/ultraviolet) system. The inherent weaknesses include the inability to discriminate oil on beaches, among weeds or debris. There are many new developments in economical infrared cameras in the past few years. The laser fluorosensor is a most-useful instrument because of its unique ability to identify oil on backgrounds that include water, soil, ice and snow. It is the only sensor that can positively discriminate oil on most backgrounds. Disadvantages include the large size, weight and high cost. The laser fluorosensor has proven to be a most useful and powerful tool. Developments are limited in fluorosensors, however, new units are built about every five years. Radar, although low in priority for purchase, offers the only potential for large area searches and foul weather remote sensing. Developments are few and only a small number of commercial units are available. Radar is costly, requires a dedicated aircraft, and is prone to many interferences. A major weakness of radar is that it is limited to operation over seas with winds of about 2 to 8 m/s.Equipment that measures relative slick thickness is still under development. Passivemicrowave has been studied for several years, but instruments lack sufficient spatial resolution to bepractical, operational instruments. A laser-acoustic instrument, which provides the only technologyto measure absolute oil thickness, is under development and has recently been tested in an aircraft.Equipment operating in the visible region of the spectrum, such as cameras and scanners, isuseful for documentation or providing a basis for the overlay of other data. It is not useful beyondthis because oil shows no spectral characteristics in the visible region which can be used todiscriminate oil. Despite low-cost developments in this field, these sensors are not recommended asproviding additional utility over visual surveillance.
机译:评估了应用于溢油事故的远程传感器,并总结了新的发展。常见的传感器是红外摄像机或IR / UV(红外/紫外线)系统。固有的弱点包括无法区分海滩上的杂草或碎屑中的油。在过去的几年中,经济型红外热像仪有许多新的发展。激光氟传感器是一种最有用的仪器,因为它具有识别包括水,土壤,冰和雪在内的背景上的油的独特能力。它是唯一可以在大多数背景下正确识别油的传感器。缺点包括尺寸大,重量大和成本高。激光氟传感器已被证明是最有用且功能最强大的工具。氟传感器的发展受到限制,但是,大约每五年就会建造新的单元。雷达虽然购买优先级较低,但只有大范围搜索和恶劣天气遥感才有潜力。发展很少,只有少量的商业单位可用。雷达价格昂贵,需要专用飞机,并且容易受到许多干扰。雷达的主要缺点是它仅限于在风速约2至8 m / s的海上运行。 测量相对滑动厚度的设备仍在开发中。被动的 微波已经研究了好几年,但是仪器缺乏足够的空间分辨率 实用的操作工具。激光声学仪器,提供唯一的技术 测量绝对机油厚度的方法正在开发中,最近已在飞机上进行了测试。 在可见光谱范围内运行的设备(例如照相机和扫描仪)是 可用于记录文档或为其他数据叠加提供基础。超出范围是没有用的 这是因为油在可见光区域没有显示光谱特性,因此可以用来 区分油。尽管该领域的成本低廉,但不建议将这些传感器用作 提供了视觉监控之外的其他实用工具。

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