摘要
本研究以某工业园区内的污水处理厂为研究对象,使用紫外-可见光谱和三维荧光光谱对11个进水管道和水处理各工艺段的水样进行检测,结合平行因子分析法探究了污水厂水体中主要污染物的来源和类别,最后对水质参数和各组分进行了相关性分析。紫外-可见光谱、三维荧光光谱结合平行因子分析结果表明,污水主要有5种荧光组分,其中C1,C2,C3均属于腐殖酸类物质;C4属于蛋白质类,近似于色氨酸类物质;C5属于新发现的组分。相关性分析结果表明,C3的荧光强度可以大致判断污水的芳香度,C2的荧光强度推断污水中的NH_(3)-N浓度,三维荧光光谱数据可以对水质参数评价进行补充。本研究可为发展高效低成本的污水厂尾水深度处理技术提供参考。
In this study,a sewage plant in an industrial park was taken as the research object.Both the ultraviolet-visible spectroscopy and three-dimensional fluorescence spectroscopy were used to analyze the water samples from 11 influent pipelines and various stages of wastewater treatment process.Combined with parallel factor analysis,sources and categories of major pollutants in the wastewater were systematically explored.Finally,the correlation between the water quality parameters and its components in water samples was analyzed.The results of UV-Vis spectroscopy,three-dimensional fluorescence spectroscopy combined with parallel factor analysis showed that there were mainly five fluorescent components in the sewage,C1,C2,and C3 belonged to humic acid,C4 belonged to protein,and was similar to tryptophan,C5 belonged to a newly discovered component.The correlation analysis results showed that the fluorescence intensity of C3 was a roughly judge of the aromaticity of sewage,the fluorescence intensity of C2 was an inference of the NH_(3)-N concentration in the sewage,and the three-dimensional fluorescence spectra data could supplement the evaluation of water quality parameters.This research can also provide an important reference for the development of high-efficiently and low-cost advanced treatment processes in industrial sewage plants.
作者
梁月清
刘会来
崔康平
陈奕涵
郭志
陈星
LIANG Yueqing;LIU Huilai;CUI Kangping;CHEN Yihan;GUO Zhi;CHEN Xing(School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009,China;Institute of Industry and Equipment Technology,Hefei University of Technology,Hefei 230009,China)
出处
《环境工程学报》
CAS
CSCD
北大核心
2022年第4期1238-1247,共10页
Chinese Journal of Environmental Engineering
基金
国家重点研发计划项目(2019YFC0408500)
安徽省科技重大专项项目(202003a07020004)。
关键词
工业园区
溶解性有机物
三维荧光光谱
紫外-可见光谱
平行因子分析
industrial park
dissolved organic matter
three-dimensional fluorescence excitation emission matrix
ultraviolet-visible spectra
parallel factor analysis
