摘要
对城镇污水的回用率预测数据来源取自水质监测点的2017年~2019年4月的监测数据,采用量化统计回归分析方法建立城镇污水回用率预测的大数据分析模型,分析城镇污水中的PH、高锰酸盐指数、化学需氧量、磷氧化物、生物氧化物等参数指标,根据不同污染源排放特性,从水溶液中萃取污染物质,构建循环浓缩水质模型,实现对城镇污水的回收利用,结合复合污染吸附、生物降解和氧化还原等方法,实现城镇污水净化处理,由此实现城镇污水回用率预测。
The prediction data source for the reuse rate of urban sewage is from the monitoring data of water quality monitoring points from 2017 to April 2019.The quantitative statistical regression analysis method is used to establish a large data analysis model for the prediction of the reuse rate of urban sewage.Parameters such as PH,permanganate index,chemical oxygen demand,phosphorus oxide and biological oxide in urban sewage are analyzed.According to the emission characteristics of different pollution sources,pollutants are extracted from aqueous solution to build a circulating concentrated water quality model.To realize the recycling of urban sewage,this study combined with composite pollution adsorption,biodegradation,oxidation-reduction and other methods,to realize the purification treatment of urban sewage,thus realizing the prediction of urban sewage recycling rate.
作者
孟凡瑞
Meng Fanrui(First Construction Co.,Ltd.,The Eighth Bureau of China Construction,Jinan 250000,China)
出处
《环境科学与管理》
CAS
2019年第10期92-95,共4页
Environmental Science and Management
关键词
循环浓缩水质模型
城镇污水
回用率
预测
污水治理
circulating concentrated water quality model
urban sewage
reuse rate
forecast
sewage treatment
