基于水质自动监测中的重要指标关联性分析

Correlation Analysis of Important Indexes in Automatic Water Quality Monitoring

水环境监测实践中,因自然、地理、产业构成等差异,各监测断面的水质类别定类指标不同。为改善水质状况并达到考核目标,除寻求外部原因外,分析不同重要指标之间的关联性,摸清相互影响程度,对于进行水质超标预警,提前作出应对措施,提高水环境治理效果具有积极意义。本文通过对广州市流溪河流域上、中、下游部分断面数据进行分析发现,不同监测断面中的重要指标之间(主要为温度、溶解氧、高锰酸盐指数、氨氮、总磷)数值存在关联性,并根据分析结果提出了今后在环境监测中的应用建议。

In water environment monitoring practice,due to natural,geographical,industrial composition and other differences,the monitoring section of the water quality category of different categories of indicators.In order to improve water quality and meet assessment targets,in addition to seeking external causes,analysing the correlation between different important indicators and understanding the degree of mutual influence is of positive significance for early warning of exceedances of water quality standards,making early countermeasures and improving the effectiveness of water environment management.The correlation between the values of important indicators(mainly temperature,dissolved oxygen,permanganate index,ammonia nitrogen and total phosphorus)in different monitoring sections was found through the analysis of data from some sections in the upper,middle and lower reaches of the Liu Xi River basin in Guangzhou,and suggestions for future application in environmental monitoring were made based on the analysis results.