Analysis of Water Quality in the Liaohe River Based on Trend Analysis and Kendall Algorithm
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.
Water quality analysisSpatio-temporal changesKendall algorithmTrend researchLiaohe River Basin
NETL
NSTL
万方数据
