摘要
煤化工废水作为一类典型的高浓度与难降解工业废水,其水质特征复杂且波动显著,特别是COD与氨氮质量浓度往往超出常规检测方法的测定范围,传统检测方法不仅存在样品前处理繁琐与检测周期长等问题,而且化学试剂的大量使用也带来了环境风险。本研究针对煤化工废水的特点,创新性地建立了一种基于三维荧光光谱-紫外可见光谱联用的COD与氨氮同步检测新方法,通过优化光谱采集条件与建立水质特征指纹图谱以及构建多元校正模型,实现了对这两种关键指标的快速与准确测定。
Coal chemical wastewater is as a typical type of high concentration and refractory industrial wastewater.The water quality characteristics of complex and significant fluctuations,especially COD and ammonia nitrogen content is often beyond the range of conventional detection methods,traditional detection method not only the sample pretreatment and detection cycle,and the extensive use of chemical reagents also brings the environmental risk.This study according to the characteristics of coal chemical wastewater,innovatively established a method based on three-dimensional fluorescence spectrum-ultraviolet visible spectrum of COD and ammonia nitrogen synchronous detection method,by optimizing the spectral acquisition conditions and establish water quality characteristics fingerprint and multiple correction model,realize the rapid and accurate determination of the two key indicators.
作者
闫冰
Yan Bing(Shaanxi Xinghua Group Co.,Ltd.,Xianyang Shaanxi 713100,China)
出处
《山西化工》
2025年第8期111-113,共3页
Shanxi Chemical Industry
关键词
煤化工废水
三维荧光光谱
紫外可见光谱
COD-氨氮同步检测
多元校正模型
coal chemical wastewater
three-dimensional fluorescence spectrum
ultraviolet visible spectrum
COD-ammonia nitrogen synchronous detection
multivariate correction model
作者简介
闫冰,男,1974年出生,毕业于北京石油大学,大专,工程师,从事环保管理专业工作。
