刘德庆^1,2, 栾晓宁¹, 郭金家¹, 崔廷伟², 金久才², 郑荣儿¹
1.中国海洋大学 光学光电子实验室;2.国家海洋局 第一海洋研究所

摘要:
目前, 针对港口溢油巡航监测缺乏行之有效的技术手段。为探索激光诱导荧光光谱技术应用于港口溢油监测的可行性, 以微型光纤光谱仪搭建小型激光荧光遥测实验系统, 并对其性能进行测试分析。结果发现, 在光谱仪曝光时间设为最小(1.11 ms)的情况下, 环境光对荧光测量仍会产生影响, 利用减背景法可以有效去除溢油荧光信号中环境光的影响; 在相同条件下, 系统测得不同油质溢油样品的荧光光谱表现出不同的光谱特征, 轻质油较重质油的荧光峰蓝移、荧光更强; 在上述环境光背景影响和光谱测量分析的基础上, 进一步测试了系统的信号探测稳定性, 结果显示, 系统重复测量的相对标准偏差RSD=2.54%, 表明该系统具有较好的信号探测稳定性。综上, 基于微型光纤光谱仪的小型溢油激光荧光遥测系统可望在近岸港口溢油巡航监测中发挥重要作用。
关键词:港口溢油激光诱导荧光微型光纤光谱仪遥测系统环境监测
DOI：10.11759/hykx20171011026
分类号:
基金项目:国家重点研发计划(2017YFC1405203);国家自然科学基金(41406111, 61401111); 国家海洋公益性行业科研专项(201505005-2)

A small LIF remote detection system for port oil spill monitoring
LIU De-qing,LUAN Xiao-ning,GUO Jin-jia,CUI Ting-wei,JIN Jiu-cai,ZHENG Rong-er
Abstract:
There is presently no effective technical means for port oil spill cruise monitoring. To evaluate the feasibility of a laser-induced fluorescence technique for oil spill monitoring in ports, a small LIF remote detection system was established using a micro fiber spectrometer, and its performance was tested in this study. It was found that the ambient light had an impact on the oil spill fluorescence signal even when the exposure time of the spectrometer was set to a minimum (1.11 ms), and the influence of ambient light on the fluorescence signal can be effectively avoided using a background subtraction method. Under the same conditions, fluorescence spectra measured by the system of different oil spill samples showed different spectral characteristics; the blue peak shift of light oil was stronger than that of heavy oil. The stability of the system in detecting fluorescence signals was tested, and the relative standard deviation (RSD) of the system had a repeated value of 2.54%, which indicates that the system has a better signal detection stability. In summary, the micro fiber spectrometer-based LIF remote detection system is expected to play an important role in port oil spill monitoring.
Key words:Port oil spillLaser-induced fluorescenceMicro fiber spectrometerRemote detection systemEnvironment monitoring





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