摘要
以2015—2022年太湖长兴段合溪、夹浦、东村桥、杨家浦、新塘、包漾河6个监测点的数据为依据,通过主成分分析,并选取COD Mn、NH 3-N和TP共3个污染指标,使用秩相关系数法,对近8 a的水质变化进行评估,并借助SPSS软件,对不同监测断面的污染指标进行了Pearson相关性分析。研究结果表明:合溪断面的水质最好,夹浦断面的水质最差;新塘断面水质波动幅度最大,夹浦断面波动幅度总体最小。水体中的污染物指标浓度之间存在一定的相关性,由于水体性质和监测位置的不同,相关性略有差异,在此基础上提出了加强污水防治工作的建议。
With the monitoring data from 2015 to 2022 at six monitoring points as Hexi,Jiapu,Dongcunqiao,Yangjiapu,Xintang and Baoyang River along Changxing Section of Taihu Lake,the principal component analysis was performed,and three pollution indicators,COD Mn,NH 3-N and TP were selected.The changes of water quality in the last eight years were evaluated by using the rank correlation coefficient method,and with the help of the SPSS software,the pollution indicators of the different monitoring cross-sections were analyzed by the Pearson correlation analysis.The results showed that the water quality was the best in Hexi Section and the worst in Jiapu Section;the fluctuation of water quality was the largest in Xintang Section and the smallest overall in Jiapu Section.There is a certain correlation between the concentrations of pollutant indicators in water bodies,and the correlation is slightly different due to the nature of the water body and the monitoring location,on the basis of which suggestions are made to strengthen the sewage prevention and control.
作者
黄德星
沈瑜伟
郑红燕
于志远
刘学应
HUANG Dexing;SHEN Yuwei;ZHENG Hongyan;YU Zhiyuan;LIU Xueying(School of Civil Engineering,Anhui Jianzhu University,Hefei 230601,China;School of Civil Engineering and Architecture,Zhejiang University of Water Resources and Electric Power,Hangzhou 310018,China;Changxing Water Conservancy Bureau,Changxing 313100,China)
出处
《浙江水利水电学院学报》
2024年第5期60-66,共7页
Journal of Zhejiang University of Water Resources and Electric Power
基金
国家172项重大水利项目(H20230037)。
关键词
太湖长兴段
水质评价
主成分分析法
Pearson相关性分析
Changxing Section of Taihu Lake
water quality evaluation
principal component analysis
Pearson correlation analysis
