Fingas Merv, Brown Carl
Spill Science, Edmonton, Alberta T6W 1J6, Canada.
Environmental Science and Technology Section, Environment Canada, Ontario K1A OH3, Canada.
Mar Pollut Bull. 2014 Jun 15;83(1):9-23. doi: 10.1016/j.marpolbul.2014.03.059. Epub 2014 Apr 20.
Remote-sensing for oil spills is reviewed. The use of visible techniques is ubiquitous, however it gives only the same results as visual monitoring. Oil has no particular spectral features that would allow for identification among the many possible background interferences. Cameras are only useful to provide documentation. In daytime oil absorbs light and remits this as thermal energy at temperatures 3-8K above ambient, this is detectable by infrared (IR) cameras. Laser fluorosensors are useful instruments because of their unique capability to identify oil on backgrounds that include water, soil, weeds, ice and snow. They are the only sensor that can positively discriminate oil on most backgrounds. Radar detects oil on water by the fact that oil will dampen water-surface capillary waves under low to moderate wave/wind conditions. Radar offers the only potential for large area searches, day/night and foul weather remote sensing.
本文综述了用于溢油监测的遥感技术。可见光技术的应用十分普遍,但其结果与目视监测并无二致。石油没有独特的光谱特征,无法在众多可能的背景干扰中被识别出来。相机仅用于提供记录。在白天,石油吸收光线并以热能形式释放,其温度比周围环境高3至8K,这可被红外(IR)相机检测到。激光荧光传感器是有用的仪器,因为它们具有独特的能力,能够在包括水、土壤、杂草、冰和雪等背景中识别石油。它们是唯一能在大多数背景下可靠识别石油的传感器。雷达通过石油在低至中等波浪/风况下会抑制水面毛细波这一事实来检测水面上的石油。雷达是唯一具备大面积搜索潜力的技术,可进行昼夜及恶劣天气下的遥感监测。