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重点流域源头区高环境背景值条件下水质特征分析研究:以汪清县为例

Analysis and study on water quality characteristics under high environmental background values in key watershed source areas:taking Wangqing County as an example
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摘要 汪清地区作为吉林省重要跨界河流源头,存在COD、PI等指标偏高的“高环境背景值”特征。本研究在2024年5-10月对3个监测断面的20个采样点开展水质监测,分析COD、BOD_(5)、TN、TP等指标。结果显示:COD与BOD_(5)显著正相关,pH与DO显著负相关,TN与TP中度正相关,反映了有机污染与营养盐的协同变化。典型关联分析表明污染特征存在空间差异:城子后断面以氮污染为主,铁帽山断面磷负荷高且DO低,复兴断面有机污染显著。该研究为区分自然背景与人为污染提供了科学依据,对区域水质管理具有重要意义。 As an important source of cross-border rivers in Jilin Province,Wangqing area has the characteristic of high environmental background values such as COD and PI.This study conducted water quality monitoring at 20 sampling points in three monitoring sections from May to October 2024,analyzing indicators such as COD,BOD_(5),TN,TP,etc.The results showed that COD was significantly positively correlated with BOD_(5),pH was significantly negatively correlated with DO,and TN was moderately positively correlated with TP,reflecting the synergistic changes of organic pollution and nutrients.Typical correlation analysis shows that there are spatial differences in pollution characteristics:nitrogen pollution is predominant in the Chengzihou section,phosphorus load is high and DO is low in the Tiemaoshan section,and organic pollution is significant in the Fuxing section.This study provides a scientific basis for distinguishing between natural background and anthropogenic pollution,which is of great significance for regional water quality management.
作者 赵元园 李鱼 孙述海 赵文晋 ZHAO Yuanyuan;LI Yu;SUN Shuhai;ZHAO Wenjin(College of New Energy and Environment,Jilin University,Changchun 130023,Jilin,China;College of Environmental Science and Engineering,North China Electric Power University,Beijing 102206;College of Water Conservancy Engineering,Changchun Institute of Technology,Changchun 130012,Jilin,China)
出处 《吉林地质》 2025年第2期61-67,共7页 Jilin Geology
基金 吉林省重点流域源头区本底特征污染物迁移转化规律及对国控断面水质影响研究(吉环科字第2023-03号)。
关键词 源头区地表水 环境背景值 特征评估 相关性分析 典型关联分析 Surface water in the source area environmental background value feature evaluation correlation analysis typical correlation analysis
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