光学精密工程2025，Vol.33Issue(10)：1627-1637,11.DOI:10.37188/OPE.20253310.1627
基于三维荧光光谱的水体识别及组分快速解析算法研究
Research on water identification and rapid analysis algorithm for components based on 3d fluorescence spectroscopy
摘要
Abstract
With the increasing severity of water environmental pollution,there is an urgent need for rapid and accurate detection and identification of organic pollutants in water.Three-dimensional fluorescence spectroscopy technology,which provides rich spectral information about pollutants,has become a hot top-ic in the research of pollutant identification and source tracing in water bodies.The current methods mainly focus on deep learning based spectral data analysis,which requires a large amount of spectral data and is difficult to promote on site.This paper utilized three-dimensional Excitation-Emission Matrix(3D-EEM)data and proposed a method for multi-classification identification and precise component fitting of water bodies based on a combination of two-dimensional Gabor wavelets and Support Vector Machine(SVM).This method effectively extracted texture features and peak positions of three-dimensional fluorescence spectra,which improved the efficiency of water sample component analysis.Here blank subtraction and Delaunay triangle interpolation were used to reduce background noise and scattering interference in spectral data,and spectral fluctuation interference was suppressed by extending the Savitzky-Golay smoothing ap-proach.Subsequently,texture feature information of 3D-EEM data and global information of three-dimen-sional fluorescence peaks were extracted using two-dimensional Gabor wavelets and fluorescence peak ex-traction methods.Finally,an EEM_MSVM model based on MSVC and CF_MSVR was constructed to achieve high-accuracy classification identification and component prediction of water pollutants.Experi-mental results show that the classification accuracy for water body types is 97.6%.In terms of component prediction,the Root Mean Square Error(RMSE)loss is only 5.3,with a correlation coefficient of 0.94.This effectively achieves accurate classification of typical water bodies and analysis of their components.关键词
三维荧光光谱/荧光组分图谱/水体识别/溯源追踪Key words
three-dimensional fluorescence spectroscopy/fluorescence component spectra/water body identification/source tracing分类
资源环境引用本文复制引用
姜赞成,王瑞杰,顼晓亮,叶彬强,冯鹏..基于三维荧光光谱的水体识别及组分快速解析算法研究[J].光学精密工程,2025,33(10):1627-1637,11.基金项目
重庆市科委技术创新与应用发展专项(No.cstc2021jscx-gksbX0056) （No.cstc2021jscx-gksbX0056）
重庆市九龙坡区基础研究与成果转化类科技计划项目(No.2022-02-003-Z) （No.2022-02-003-Z）
重庆市中小学创新人才培养工程项目(No.CY230903&CY230104) （No.CY230903&CY230104）
