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An Update on Oil Spill Remote Sensors

机译:漏油遥感器的更新

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Remote-sensors for application to oil spills are assessed and recent developments given. A common sensor is an infrared camera or an IR/UV system. This sensor class can detect oil under a variety of conditions, discriminate oil from some backgrounds and has the lowest cost of any sensor. The inherent weaknesses include the inability to discriminate oil on beaches, among weeds or debris and under certain lighting conditions, oil is not detected. Furthermore, water-in-oil emulsions are sometimes not detected in the infrared. New technology has made IR technology very cheap and practical, so despite its limitations, it will be a very important tool in the future. The laser fluorosensor is a most-useful instrument because of its unique capability to identify oil on backgrounds that include water, soil, weeds, 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. Radar, although low in priority for purchase, offers the only potential for large area searches and foul weather remote sensing. Radar is costly, requires a dedicated aircraft, and is prone to many interferences. False targets can be as high as 95%.rnEquipment that measures relative slick thickness is still under development. Passive microwave has been studied for several years, but many commercial instruments lack sufficient spatial resolution to be practical, operational instruments. A laser-acoustic instrument, which provides the only technology to measure absolute oil thickness, is under development.rnEquipment operating in the visible spectrum, such as cameras and scanners, is useful for documentation or providing a basis for the overlay of other data. It is not useful beyond this because oil shows no spectral characteristics in the visible region. Less use is being made of visible equipment in recent years.rnSatellite-borne sensors are useful, particularly radar, however their frequency of overpass and lesser spatial resolution, make them of marginal use for spills.
机译:评估了应用于溢油事故的远程传感器,并给出了最新进展。常见的传感器是红外摄像机或IR / UV系统。该传感器类别可以在各种条件下检测油,将油与某些背景区别开来,并且是所有传感器中成本最低的。固有的弱点包括无法区分海滩上的油,杂草或碎屑,并且在某些光照条件下无法检测到油。此外,有时无法在红外光中检测到油包水型乳液。新技术使IR技术变得非常便宜和实用,因此尽管有其局限性,它仍将是将来非常重要的工具。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,杂草,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。雷达虽然购买优先级较低,但只有大面积搜索和恶劣天气遥感才有潜力。雷达价格昂贵,需要专用飞机,并且容易受到许多干扰。错误的目标可能高达95%。测量相对滑动厚度的设备仍在开发中。无源微波已经研究了几年,但是许多商用仪器缺乏足够的空间分辨率,无法用作实用的操作仪器。正在开发一种提供唯一技术来测量绝对油厚的激光声学仪器。在可见光谱中运行的设备(例如照相机和扫描仪)对于记录文档或为其他数据的叠加提供基础非常有用。除此之外,它是没有用的,因为油在可见光区域没有显示光谱特征。近年来,对可见设备的使用减少了。人造卫星传感器非常有用,尤其是雷达,但是它们的立交频率和较低的空间分辨率使得它们很少用于泄漏。

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