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浙江大学学报（农业与生命科学版）
浙江大学学报(农业与生命科学版)  2016, Vol. 42 Issue (3): 368-377    DOI: 10.3785/j.issn.1008-9209.2015.10.281
资源与环境科学     
饮用水有机污染物的三维荧光光谱检测与分析方法
陈方, 张晓燕, 黄平捷, 侯迪波, 张光新, 赵佳佳, 何纪平
1.浙江大学控制科学与工程学院,工业控制技术国家重点实验室,杭州310027;2.杭州市环境监测中心站,杭州310007
Detection and analysis of organic contaminant in potable water based on three-dimensional fluorescence spectroscopy
CHEN Fang, ZHANG Xiaoyan, HUANG Pingjie, HOU Dibo, ZHANG Guangxin, ZHAO Jiajia, HE Jiping
1. State Key Laboratory of Industrial Control Technology,College of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China; 2. Hangzhou Environmental Monitoring Center, Hangzhou 310007, China
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摘要： 针对城市供水中各类有机污染事件难以通过简单阈值法进行超标报警等问题,本研究提出基于三维荧光光谱和平行因子分析法(parallel factor analysis,PARAFAC)的饮用水水质定性判别方法。在三维荧光光谱检测数据中含有的瑞利和拉曼散射会影响光谱信息的分析,因此采用Delaunay三角形内插值法进行数据预处理;然后，应用对荧光激发—发射矩阵(excitation-emission matrix,EEMs)进行分解,获得被测样品的荧光峰位置分布及各组分相对质量浓度,用于判断水体中是否受到有机污染物侵入;接着，应用支持向量机(support vector machine,SVM)对检测样本根据相对质量浓度值特征信息进行分类,将自来水水样和有机物污染的水样区分开来。最后，设计了不同质量浓度苯酚水溶液等检测实验,验证分析了所研究方法对于有机污染物的检出与判别能力。
Abstract: The issue of drinking water security is directly related to people’s health and social stability. It’s of great significance to detect the abnormality of drinking water effectively and quickly so we can timely warn the occurrence of water pollution incident. With the development of technology means of obtaining water quality information are increasingly diversified. Domestic and foreign researchers have proposed different anomaly detection methods to extract and analyze the characteristic information of abnormal water samples. However, organic pollution abnormality in urban water supply is difficult to detect by simple threshold methods. 　　At present, the application of spectral methods on the anomaly detection of urban water supply is still in the ascendant. According to the relevant literatures, the detection limit of drinking water pollution based on ultraviolet and visible spectrum is relatively high. Therefore this paper puts forward a method which is based on three-dimensional fluorescence spectroscopy and parallel factor analysis (PARAFAC) for potable water quality inspection, and this method shows a better performance than ultraviolet and visible spectrum. 　　Detection experiments of different concentrations of phenol solution et al were designed to verify and analyze the detection and discrimination ability for organic pollution abnormality of this method. Data preprocessing was carried out using Delaunay interpolation because Rayleigh and Raman scattering contained in detection data will affect the analysis of spectral information. And then the fluorescence excitation-emission matrix (EEMs) was decomposed using parallel factor analysis and the distribution of fluorescence peaks and the relative concentration of factors were obtained, which can be used to judge whether the water is polluted. Support vector machine was applied to classify measured samples based on feature information of relative concentration value, which can distinguish normal water samples from the ones polluted by organics. 　　Through the analysis of the experimental results, we could find that the method effectively detect the water samples contaminated by organics and normal water samples. In this experiment, phenol contaminated water samples whose concentration were higher than 2 μg/L, salicylic acid contaminated water samples whose concentration were higher than 2 μg/L and rhodamine B contaminated water samples whose concentration were higher than 1 μg/L were all detected. It is proved that in the case of being close to the national standard, the use of three-dimensional fluorescence spectroscopy and parallel factor analysis can distinguish the pollution concentration of micrograms level. 　　Aiming to solve the problems that drinking water is easily contaminated by organics, and it is not easy to be detected in the low pollution concentration using general detection method, this paper designed an experiment to detect the fluorescence spectroscopy of five days running water and three kinds of organic solution of different concentrations. And the method of using three-dimensional fluorescence spectroscopy combined with parallel factor analysis method is applied to detect abnormality. It turns out that the proposed method can distinguish water samples contaminated by organics of microgram level. Research and experiment results show that the abnormal detection of drinking water based on three-dimensional fluorescence spectroscopy is feasible and has practical application value.
出版日期: 2016-05-20
CLC:  X 131.2  
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陈方
张晓燕
黄平捷
侯迪波
张光新
赵佳佳
何纪平

引用本文:

陈方, 张晓燕, 黄平捷, 侯迪波, 张光新, 赵佳佳, 何纪平. 饮用水有机污染物的三维荧光光谱检测与分析方法[J]. 浙江大学学报(农业与生命科学版), 2016, 42(3): 368-377.

CHEN Fang, ZHANG Xiaoyan, HUANG Pingjie, HOU Dibo, ZHANG Guangxin, ZHAO Jiajia, HE Jiping. Detection and analysis of organic contaminant in potable water based on three-dimensional fluorescence spectroscopy. Journal of Zhejiang University (Agriculture and Life Sciences), 2016, 42(3): 368-377.

链接本文:

http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2015.10.281    或    http://www.zjujournals.com/agr/CN/Y2016/V42/I3/368

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