首页|基于水质荧光指纹技术的复合污染河道溯源研究

基于水质荧光指纹技术的复合污染河道溯源研究

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复合污染水体的污染源组成解析是当前水污染溯源领域难题,基于三维荧光光谱的水质荧光指纹技术是解决该难题的关键方法.采用水质荧光指纹技术对苏南地区Y河开展溯源分析.通过平行因子分解与水质荧光指纹比对有效识别Y河中印染废水荧光信号来自上游河道异地输入.利用氨氮浓度划分重污染区域,依托水质荧光指纹对Y河流域内109个排口开展筛查,通过污染路径溯源法精准定位35家主要责任单位.落实整改要求后,Y河水质由劣Ⅴ类迅速提升至Ⅲ类,并持续稳定达标.Y河河道治理工程取消,降本增效效果显著.针对复合污染河道提出了以水质荧光指纹技术为抓手的精准溯源与微创治理新模式,对实现精准治污、科学治污、依法治污具有重要指导意义.
Study on Pollution Source Identification of Composite Polluted River Based on Aqueous Fluorescence Fingerprint Technology
The analysis of pollution source composition of composite polluted water bodies is currently a challenge in water pollution source identification.The aqueous fluorescence fingerprint technology based on the fluorescence excitation-emission matrix is the key method to solve this problem.This study applied aqueous fluorescence fingerprint technology to perform the pollution source identification analysis of Y River in southern Jiangsu region.The fluorescence signal of textile printing and dyeing wastewater in the Y River derived from allochthonous upstream inputs,which was effectively identified by parallel factor analysis and aqueous fluorescence fingerprint comparison.Heavily contaminated regions were divided by ammonia nitrogen concentration.109 outlets in the Y River Basin were screened by aqueous fluorescence fingerprint.35 main responsible units were accurately located through the pollution path tracking method.After implementing the rectification requirements,the water quality of Y River was rapidly improved from below Class V to Class Ⅲ and steadily met the standards.The Y River regulation project was cancelled,significantly reducing costs and improving efficiency.In this work,a new model of precise pollution source identification and minimally invasive control was proposed for composite polluted rivers based on aqueous fluorescence fingerprint technology,which is of great significance for realizing pollution control in a precise,science-based,and lawful way.

Fluorescence excitation-emission matrixAqueous fluorescence fingerprintComposite pollution identificationPollution path tracking methodPrecise pollution control

熊秋燃、沈鉴、胡远、柴一荻、顾意琴、冷晓婷、程澄、吴静

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清华大学环境学院环境污染溯源与精细监管技术研究中心,北京 100084

清华苏州环境创新研究院先进监管技术仪器研发团队,江苏苏州 215163

苏州国溯科技有限公司,江苏苏州 215011

三维荧光光谱 水质荧光指纹 复合污染溯源 污染路径溯源法 精准治污

国家重点研发计划国家自然科学基金北京市科技计划江苏省生态环境科研项目

2022YFC320490022076093Z2211000052220132022006

2024

10.3964/j.issn.1000-0593(2024)06-1773-08

光谱学与光谱分析
中国光学学会

光谱学与光谱分析

CSTPCD北大核心
影响因子：0.897
ISSN：1000-0593
年,卷(期)：2024.44(6)
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