摘要
文章通过选取辽河干流6处典型断面,以COD和NH3-N作为评价指标,深入剖析辽河的水质污染状况及其变化趋势。通过应用Kendall算法以及趋势分析法,系统地分析了2020—2022年间辽河各监测断面水质的变化趋势与特征。结果表明:虽然各断面的COD和NH3-N浓度整体保持相对稳定,但部分断面仍呈现出不显著的上升趋势。该成果可为辽河水质治理提供一定参考。
By selecting six typical sections of the main stream of the Liao River,focusing on two key water quality influencing factors:chemical demand(COD)and ammonia nitrogen(NH3-N),the paper deeply analyze water pollution status and its changing trends in the Liaohe River.By applying the Kendall algorithm and trend analysis method,the changing trends and characteristics of water quality at various monitoring sections in the Liaohe River from 2020 to 2022 were systematically analyzed.The results of the study indicate that although the concentrations of COD and NH3-N remain relatively stable overall at each section,some sections still show a non-significant upward trend.The results can provide reference for water quality management in Liao River.
作者
王惟一
盛亮
朱宏飞
WANG Weiyi;SHENG Liang;ZHU Hongfei(Liaoning Runzhong Water Supply Co.,Ltd.,Shenyang,Liaoning 110003,China;Shenyang Water Conservancy Construction Survey and Design Institute Co.,Ltd.,Shenyang,Liaoning 110015,China)
出处
《山东水利》
2024年第6期67-70,共4页
Shandong Water Resources
关键词
水质分析
时空变化
Kendall算法
趋势研究
辽河流域
Water quality analysis
Spatio-temporal changes
Kendall algorithm
Trend research
Liaohe River Basin
