南通职业大学学报2024，Vol.38Issue(2)：94-99,6.DOI:10.3969/j.issn.1008-5327.2024.02.019
城市河流水质监测指标间的相关性分析及预测
Correlation Analysis and Prediction of Water Quality Monitoring Indicators in Urban Rivers
摘要
Abstract
To quickly monitor water quality in urban rivers and effectively track and control pollution sources,19 groups of monitoring data from four water quality monitoring stations are selected in a city to analyze the correlation between conventional water quality indicators and core water quality indicators,and the water quality and the monthly changing trend are examined.Mantel tests and selection method of information theory model are used to determine the conventional indicators with the strongest correlation with core indicators and establish the optimal regression prediction model.It is found that the correlation between the same core and conventional indicators varies from monitoring station to station.Generally,they are in positive correlation with slight fluctuations,i.e.permanganate with turbidity,total nitrogen with dissolved oxygen,ammonia nitrogen with conductivity,and turbidity with chloride.No significant correlation is found between five-day biochemical oxygen demand and total phosphorus with conventional indicators.The analytical results show that a relatively reliable overall regression prediction model can be constructed based on a comprehensive analysis of large amount of effective data from various monitoring stations,and the analysis of water quality monitoring data can provide a basis for decision making of effective water pollution prevention and control measures.关键词
水质监测/指标相关性/水环境治理/城市河流Key words
water quality monitoring/index correlation/water environment management/urban river分类
资源环境引用本文复制引用
陈向阳,肖巍峰,陈海峰..城市河流水质监测指标间的相关性分析及预测[J].南通职业大学学报,2024,38(2):94-99,6.基金项目
南通市科技计划项目(MS12022010) （MS12022010）
湖南省自然科学基金项目(2023JJ30238) （2023JJ30238）
