摘要
为了解决临安市南苕溪水质电导率和pH测量过程中存在的误差,本文以临安市南苕溪长桥和马溪作为检测点,把其水质作为研究对象,通过对检测点大量水质样本的采样,检测不同温度下南苕溪水质的电导率和pH值,主要利用统计学回归分析和相关性分析的方法,研究其电导率和pH与随温度之间的关系。实验结果表明:当温度升高时,南苕溪长桥和马溪水质的电导率随温度的升高而增大;当温度下降时,南苕溪长桥和马溪水质的电导率随温度的下降而变小。南苕溪长桥和马溪水质的电导率与温度之间呈高度线性相关,相关系数达到0.99,调整后的回归模型的拟合系数为0.979;南苕溪不同检测点之间存在差异性,电导率随温度变化趋势相同,变化的程度不同;pH随温度的上升和下降变化较小,基本保持稳定。
In order to resolve the problems of temperature error of Lin'an South Tiaoxi water conductivity and pH in the process of measurement,this paper took Changqiao and Ma Xi of Lin' an Tiao Xi as the detection point and the water as the mainly research object. A large number of water was sampled and the electrical conductivity and pH value of the water were tested in different temperature. Statistical regression analysis and correlation analysis were mainly used to research the variety of the electrical conductivity and pH with temperature changes. Experimental results showed when temperature increased,the conductivity increased simultaneously. When temperature decreased,the conductivity falls down. They were highly linear correlation. The correlation coefficient reached 0. 99 and the adjusted fitting coefficient of regression model reached 0. 979.There was a difference between Chang Qiao and Ma Xi of South Tiaoxi. Electrical conductivity increased with temperature change,but the degree change was different. The chang of pH with the temperature was small and remains generally stable.
出处
《环境工程》
CAS
CSCD
北大核心
2015年第S1期906-910,共5页
Environmental Engineering
基金
浙江农林大学科研发展基金人才启动项目(2013FR035)
浙江省林业智能监测与信息技术研究重点实验室资助
地表水水质预警系统科研及试点
临安市环保局2014-2
关键词
水质
电导率
PH
温度
相关性
water quality
conductivity
pH
temperature
relativity
