摘要
海面溢油的水包油乳化液对海洋造成严重的危害,水包油乳化液的识别以及定量分析,对于海洋污染的处理以及海洋环境的恢复具有重要意义。近年来一些研究对较薄的乳化溢油进行了定量分析,然而对于油层较厚的乳化溢油却鲜有深入的研究。激光照射到海面的水包油乳化液产生的荧光,在一定条件下会开始出现饱和而不再变化,针对这一饱和临界点以及相关范围的水包油乳化液的光谱特征进行研究。根据LIF探测系统接收到的光功率与BRRDF数值的关系,使用BRRDF模型对荧光光谱进行仿真。分析的油品使用Romashkino油和Petrobaltic油,分别代表深色不透明的油和明亮透明的油。提出一种针对厚度较大的水包油乳化液的荧光强度计算方法,计算出两种油在不同浓度和乳化时间下的乳化液出现荧光饱和的厚度。对计算结果进行比较可以看出饱和厚度随着浓度的增加而降低,随着乳化时间的增加而降低。分析结果显示,对于海水中的深色不透明的油的水包油乳化液,LIF接收到的荧光强度通常会出现饱和,因此单独使用LIF系统无法判断出超过饱和厚度的乳化液层的厚度。设计了一个4层神经元的神经网络,对饱和临界点附近的荧光光谱对乳化液浓度的识别能力进行验证。验证结果显示,不同浓度的水包油乳化液,只要达到或超过饱和厚度,其荧光光谱就具有较好的鉴别能力,可以用来区分不同浓度的乳化液。对于那些距离饱和厚度比较远的样本,荧光光谱具有分辨乳化液是否达到饱和厚度的能力。这些实验和结论将对较厚的水包油乳化液的识别和定量分析研究提供参考。
The oil-in-water emulsion of sea oil spills has caused serious harm to the ocean.The identification and quantitative analysis of oil-in-water emulsion is of great significance for treating marine pollution and restoring the marine environment.In recent years,some studies have conducted quantitative analysis on thinner emulsified oil spills,but there are rare in-depth studies on thicker emulsified oil spills.The fluorescence produced by the oil-in-water emulsion irradiated by the laser on the sea surface will begin to appear saturated under certain conditions and will not change anymore.This paper studies the spectral characteristics of the oil-in-water emulsion at this critical point of saturation and related ranges.According to the relationship between the optical power received by the LIF detection system and the BRRDF value,the fluorescence spectrum is simulated using the BRRDF model.The analysis uses Romashkino oil and Petrobaltic oil,representing dark opaque and bright transparent oil.A method for calculating the fluorescence intensity of thicker oil-in-water emulsions was proposed,and the thickness at which fluorescence saturation appeared in emulsions of two oils at different concentrations and emulsification times was calculated.Comparing the calculated results,it can be seen that the saturated thickness decreases with the increase of concentration and decreases with the increase of emulsification time.The analysis results show that for the oil-in-water emulsion of dark opaque oil in seawater,the fluorescence intensity received by LIF is usually saturated,so the thickness of the emulsion layer exceeding the saturation thickness cannot be judged by using the LIF system alone.A neural network with 4 layers of neurons was designed to verify the ability of the fluorescence spectrum near the saturation critical point to identify the emulsion concentration.The verification results show that as long as the oil-in-water emulsions of different concentrations reach or exceed the saturation thickness,the fluorescenc
作者
马勤勇
崔永强
王智伟
孔令富
MA Qin-yong;CUI Yong-qiang;WANG Zhi-wei;KONG Ling-fu(College of Information Science and Engineering,Yanshan University,Qinhua ngdao 066000,China;The Key Laboratory for Computer Virtual Technology and System Integrat ion of Hebei Province,Qinhuangdao 066000,China)
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2024年第8期2192-2197,共6页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(62173290)
河北省自然科学基金项目(F202103079)
河北省创新能力提升计划项目(22567626H)资助。
关键词
荧光光谱
水包油乳化液
定量分析
饱和强度
Fluorescence spectrum
Oil-in-water emulsion
Quantitative analysis
Saturation intensity
