河北工业科技2026，Vol.43Issue(1)：49-56,8.DOI:10.7535/hbgykj.2026yx01006
白洋淀周边重点区域入淀河流水质时空差异性特征分析
Characterization of spatial and temporal variability in water quality of rivers entering the Baiyangdian Lake
摘要
Abstract
To further improve the water quality of the Xiaoyi River,an upstream tributary flowing into the Baiyangdian Lake,based on four monthly water quality monitoring data and monthly precipitation data collected from six cross-sections in the Xiaoyi River basin from 2020 to 2024,as well as the inflow of its tributaries and the spatial locations of discharge outlets into the river,this study employed the composite water quality identification index method,cluster analysis,and principal component analysis to comprehensively evaluate the water quality changes in the basin,assess the spatiotemporal distribution patterns,and investigate the influencing factors.The results indicate that the overall water quality during the flood season is slightly worse compared to the non-flood season.At some monitoring sections,water quality reaches Class Ⅱ during the non-flood season,while the water quality during the flood season ranges from Class Ⅲ to Class Ⅳ.The composite water quality identification index at each section showes a significant positive linear correlation with the number of upstream discharge outlets,indicating that discharge of domestic and industrial waste(sewage)water significantly impact river water quality.Spatially,upstream water quality was superior to that of the middle and downstream sections.Excessive total nitrogen concentration is the primary cause of water quality deterioration.The research findings provide theoretical basis and data support for water pollution prevention and control in the Baiyangdian basin.关键词
水污染防治工程/孝义河/主成分分析/聚类分析/综合水质标识指数Key words
water pollution prevention and control engineering/Xiaoyi River/principal component analysis/cluster analysis/composite water quality identification index分类
资源环境引用本文复制引用
何玮光,陈海婴,吴向辉,宋岚..白洋淀周边重点区域入淀河流水质时空差异性特征分析[J].河北工业科技,2026,43(1):49-56,8.基金项目
河北省重点研发计划项目资源与环境创新专项(3110701) （3110701）
