摘要
基于南流江干流六司桥、横塘、江口大桥、南域和亚桥5个断面2015~2019年氨氮和总磷浓度数据,采用spearman秩相关系数法探究南流江干流氮、磷浓度的年际变化趋势和年内变化规律。结果表明:研究期间,南流江干流水体的氨氮浓度空间差异明显,上、中游的氨氮浓度远高于下游,总磷浓度在南流江干流整体都较高;研究期间,南流江干流的氨氮浓度整体呈现下降趋势,中上游总磷浓度整体呈下降趋势,下游总磷浓度呈上升趋势;南流江干流氨氮浓度总体枯水期高于丰水期,但丰水期也会有断面氨氮浓度较高情况出现,总磷浓度总体上丰水期高于枯水期。2019年年内南流江干流氨氮和总磷浓度整体呈现下降趋势。
Based on the ammonia nitrogen and total phosphorus concentrations data of Liusi bridge,Hengtang,Jiangkou bridge,Nanyu and Ya bridge sections in the main stream of Nanliu River from 2015 to 2019,spearman rank correlation coefficient method was used to study the inter-annual variation trend and the intra-annual variation rule of nitrogen and phosphorus concentrations in the main stream of Nanliu River.The results showed that during the study period,the spatial difference of ammonia-nitrogen concentration in the main stream of Nanliu River is obvious,the ammonia nitrogen concentration in the upper and middle reaches is much higher than that in the lower reaches,and the concentration of total phosphorus is higher in the whole river.The ammonia nitrogen concentration in the main stream of the Nanliu River showed a downward trend,the total phosphorus concentrations in the middle and upper reaches showed a downward trend,and showed an upward trend in the lower reaches.The ammonia nitrogen concentration in the main stream of Nanliu River is higher in dry season than in flood season,but there are higher ammonia nitrogen concentrations in flood season.The total phosphorus concentration is higher in flood season than in dry season.The ammonia nitrogen and total phosphorus concentrations in the main stream of Nanliu River showed a decreasing trend in 2019.
作者
林卉
李楠
李昆明
黄伯当
Lin Hui;Li Nan;Li Kunming;Huang Bodang(Ecological and Environmental Monitoring Center of Guangxi Zhuang Autonomous Region,Nanning 530028;Guangxi Boce Test Technical Services Co.,Ltd.,Nanning 530007,China)
出处
《广东化工》
CAS
2020年第5期74-77,共4页
Guangdong Chemical Industry
关键词
南流江
氮磷浓度
spearman秩相关系数法
Nanliu River
nitrogen and phosphorus concentration
spearman rank correlation coefficient method
