水质自动监测大数据在黄金河流域主要污染源识别中的应用研究

Application of Big Data Automatic Water Quality Monitoring in Major Pollution Source Identification in Huangjin River

以重庆市黄金河为研究对象,针对高锰酸盐指数超标问题,通过2019年卫星桥断面水质自动监测站监测结果大数据相关性分析,发现高锰酸盐指数与浊度、氨氮、总磷具有显著的正相关性,相关系数分别为0.428、0.451、0.460。结合流域实地调查,通过每日浓度变化曲线分析,发现4-12月高锰酸盐指数与浊度、氨氮、总磷的相关程度高于1-3月,结合1-12月流域常住人口变化、污染源排放变化等实地调查结果,精准识别出黄金河的主要污染源为农业种植污染。

Huangjin River in Chongqing was taken as an example to give a clear view for the problem of excessive permanganate index in the water quality monitor.The Satellite Bridge Section in the middle reach was considered to represent the river water quality in whole basin.The water quality automatic monitoring data in 2019 were applied for sources identification through correlation analysis.The results showed that the permanganate index has a significant positive correlation with turbidity,ammonia nitrogen and total phosphorus with value for 0.428,0.451,0.460 respectively.The degree of correlation from April to December got obvious higher than that appeared in January to March.Combined with the field survey for changes of resident population in the basin,the tide of farmers returning home of Spring Festival showed on obvious effect on the water quality deterioration.It is found that the main pollution source of the Huangjin River is agricultural planting pollution.