摘要
基于多元线性回归对北京市城市河道水体发黑感官数据及水质监测数据进行分析.通过比较与筛选发现,水色稀释倍数适合作为表征北京市城市河道水体发黑因变量,而溶解氧、化学需氧量、氨氮、总磷及总铁适合作为自变量,其中溶解氧、化学需氧量及总铁为主要因素.基于5项水质指标提出了北京市城市河道水体发黑分级评价方法,从非发黑到重度发黑共分4级,通过比较发现两个回归模型模拟计算结果与水色稀释倍数观测值大致相当.该评价方法首次将有机类污染指标同水中总铁结合,量化了北京市城市河道水体发黑程度,为未来"一河一策,消除黑臭"提供思路.
Human' s sensory data were related to the water quality monitoring data to grade and assess urban creek' s blackening in Beijing,based on the multiple linear regression method. After comparing and screening,water color' s dilution multiple was selected as the appropriate dependent variable to characterize urban creek' s blackening in Beijing, while dissolved oxygen( DO),chemical oxygen demand( CODCr),ammonia nitrogen( NH3-N),total phosphorus( TP) and total iron( TFe) were selected as independent variables. It was found that DO,CODCrand TFe were the key factors causing creek' s blackening. Then the grading assessment method of urban creek' s blackening in Beijing was put forward based on the above 5 variables,including 4 grades( from not black to seriously black). This method was validated after comparing simulated values with observed values. It was the first time to get the organic pollutants and TFe together to quantify the extent of urban creek's blackening in Beijing,which would help to implement the "one creek and one tactic to eliminate the black-odor water body"policy in the future.
出处
《环境化学》
CAS
CSCD
北大核心
2016年第7期1532-1539,共8页
Environmental Chemistry
基金
北京市环保局2015年科研项目
北京市环境保护监测中心科研课题(JCZX20150114)资助~~
关键词
黑臭水体
分级评价
多元线性回归
机理探讨
black-odor water body
grading assessment
multiple linear regression
mechanism discussion