摘要
文中利用主成分分析法筛选出最具代表性的监测指标,对2015年松花江省界缓冲区水质进行监测数据分析,以13项常规理化指标(pH值、溶解氧、高锰酸盐指数、化学需氧量、五日生化需氧量、氨氮、总磷、铜、锌、氟化物、硒、砷、粪大肠菌群)监测值作为元数据。利用主成分分析法以及计算和模拟,确定松花江流域省界缓冲区可以考虑用铜、硒、化学需氧量、五日生化需氧量、氨氮、总磷和砷等,7项指标来代表该流域水质状况,从而实现对松花江流域省界缓冲区水质监测指标的优化。
The principal component analysis method is used to select the most representative monitoring indicators.For the monitoring data of water quality in Songhuajiang boundary buffer zone in 2015,the 13 conventional physical and chemical indicators are selected as the metadata,including pH value,dissolved oxygen,permanganate index,chemical oxygen demand,five-day biochemical oxygen demand,ammonia nitrogen,total phosphorus,copper,zinc,fluoride,selenium,arsenic and fecal coliform.Through the principal component analysis and the calculation and simulation,the seven indicators,including copper,selenium,chemical oxygen demand,five-day biochemical oxygen demand,ammonia nitrogen,total phosphorus and arsenic,are determined to respect the water quality of the provincial boundary buffer zone of Songhuajiang basin,which could realize the optimization of water quality monitoring indicator of the provincial buffer zone of Songhuajiang basin.
作者
郑国臣
官涤
崔迪
姜厚竹
ZHENG Guo-chen;GUAN Di;CUI Di;JIANG Hou-zhu
出处
《东北水利水电》
2018年第11期55-57,68,72,共5页
Water Resources & Hydropower of Northeast China
关键词
松花江流域
主成分分析法
SPSS软件
水质监测指标
Songhuajiang basin
principal component analysis method
SPSS software
water quality monitoring index