摘要
近年来,随着国家对环境保护的的日益加深,对水样的质量监测提出了更高的要求。但是,水环境中的污染物、污染源成分复杂多样,为水质检测带来了较多问题。通过对水环境中常规项目污染物指标分析,建立河道污染类型与常规工程监测数据的关联性,能够对河道水质下降、污染源快速整治、河道水质改善等方面进行高效预警。化学需氧量(COD_(Cr))和高锰酸盐指数(COD_(Mn))是最能反应水质污染程度的两个指标,简述了现阶段化学需氧量和高锰酸盐指数的检测方法。COD_(Cr)和COD_(Mn)的相关性分析可以为水质监测数据是否合理提供判断依据,也为水污染朔源以及水体全面监控提供科学方法。
In recent years, with the deepening of the countries environmental protection, the quality monitoring of water samples has put forward higher requirements. However, the pollutants and pollution sources in the water environment are complex and diverse, which brings many problems to the water quality detection. Through the analysis of pollutant indexes of conventional projects in water environment, establishing the correlation between river pollution types and monitoring data of conventional projects can effectively warn the decline of river water quality, quickly regulate the pollution sources, and improve river water quality. Chemical oxygen demand (COD_(Cr)) and permanganate index(COD_(Mn)) are two indexes that can best reflect the degree of water pollution. The detection methods of chemical oxygen demand and permanganate index at present were briefly described. The correlation analysis of COD_(Cr) and COD_(Mn) can provide a basis for judging whether the water quality monitoring data was reasonable, and also provide a scientific method for the comprehensive monitoring of water pollution and water sources.
作者
杨朝坤
蔡极伦
YANG Chao-kun;CAI Ji-lun(Lufeng Branch Ecological Environment Monitoring Station,Shanwei Ecological Environment Bureau,Guangdong Shanwei 516599,China)
出处
《广州化工》
CAS
2022年第19期15-17,共3页
GuangZhou Chemical Industry
关键词
化学需氧量
高锰酸盐指数
相关性
chemical oxygen demand
permanganate index
correlation