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机构地区:[1]安徽农业大学信息与计算机学院,合肥230036 [2]安徽省环境监测中心站,合肥230061
出 处:《上海环境科学》2012年第6期265-269,共5页Shanghai Environmental Sciences
基 金:国家自然科学基金项目,编号:60908033;安徽省教育厅项目,编号:20101934
摘 要:根据淮河某流域近几年来的采样数据,运用Pearson相关系数和曲线估计的方法分析了水质指标间的相关性。结果表明,生化需氧量、化学需氧量、氨氮之间均存在显著的正相关关系,而溶解氧和其他各指标之间均存在显著负相关,并结合回归系数建立了估计方程,通过对判定系数R2和F分布检验的分析,表明曲线估计的方法更能准确表述水质指标间的相关性,也更加符合实际情况,具有一定的实用价值。Correlations between water quality variables were analysed by using Pearson correlation coefficient and curve estimation method based on the observation data obtained in an area of the Huaihe River Basin in recent years. It has shown that there were significant positive correlations between biochemical oxygen demand, chemical oxygen demand, and ammonia nitrogen, whilst significant negative correlations between dissolved oxygen and other variables. Furthermore, estimating equations were established in combination with regression coefficients. An analysis on the adjusted coefficient of determination R2 and F-distribution test indicated that curve estimation method could represent the relationships between water quality parameters more accurately and could well accord with actual situation so as to be of certain practical values.
关 键 词:水质指标 Pearson相关系数 曲线估计 相关性
分 类 号:X321[环境科学与工程—环境工程]
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