摘要
水环境污染监测过程中,无法展现每一种污染物的响应特征,使得实时监测结果的均方根误差较大。因此,提出基于紫外-可见光谱法的河流水环境污染实时监测方法。采用分段加权计算方法融合双光程数据,通过补偿光谱进行光谱信号浊度校正,结合多元分析法,构建河流水环境污染实时监测模型,在区间偏最小二乘法和遗传算法的共同作用下,推算具体的水环境污染指标参数。实验结果显示:应用所提方法对河流水环境中的有机污染物(TOC)、总磷(TP)和总悬浮物(TSM)进行实时监测,所得均方根误差分别为0.04、0.07、0.12,满足水环境污染监测要求。
In the process of monitoring water environmental pollution,the response characteristics of each pollutant cannot be shown,which makes the root-mean-square error of real-time monitoring results larger.Therefore,a real-time monitoring method of river water environmental pollution based on UV-VIS spectroscopy is proposed.The piecewise weighted calculation method was used to integrate the dual optical path data,the spectral signal turbidity correction was carried out by compensation spectrum,and the real-time monitoring model of river water environmental pollution was constructed by combining with the multivariate analysis method.Under the joint action of interval partial least square method and genetic algorithm,the specific water environmental pollution index parameters were calculated.The experimental results show that the root mean square errors of the proposed method for real-time monitoring of organic pollutants(TOC),total phosphorus(TP) and total suspended matter(TSM) in river water environment are 0.04,0.07 and 0.12,respectively,which meet the requirements of water environmental pollution monitoring.
作者
王雪梅
Wang Xuemei(Kaifeng Ecological Environment Monitoring Center of Henan Province,Kaifeng 475000,China)
出处
《环境科学与管理》
CAS
2023年第3期124-128,共5页
Environmental Science and Management
关键词
紫外-可见光谱法
水环境污染
偏最小二乘法
水质监测
双光程光谱融合
ultraviolet visible spectroscopy
water environmental pollution
partial least square method
water quality monitoring
double optical path spectral fusion
