数学视角下黑龙江省地表水pH值影响因素分析  

Analysis of Influencing Factors of Surface Water pH Value in Heilongjiang Province from the Perspective of Mathematics

作　　者：杨真真 刘琳[1] Yang Zhenzhen;Liu Lin(School of Science,Jiamusi University,Jiamusi 154000,China)

机构地区：[1]佳木斯大学理学院,黑龙江佳木斯154000

出　　处：《广东化工》2021年第16期200-201,218,共3页Guangdong Chemical Industry

摘　　要：文章基于多元线性回归理论,收集了黑龙江省14个观测点的地表水水质监测数据,选取溶解氧、浊度、高锰酸盐指数、氨氮、总磷5个指标为自变量,以地表水pH值为因变量。通过分析各变量与因变量的皮尔逊相关系数,检验各自变量与因变量的显著性关系。利用SPSS软件建立多元线性回归模型,结果表明:浊度(NTU)对于水质的p H值具有显著的正向影响,而总磷(mg/L)对于地表水的pH值具有显著的负向影响。在其他变量保持不变的情况下,浊度(NTU)每增加1单位,地表水的pH值增加0.046个单位;在其他变量保持不变的情况下,总磷(mg/L)每增加1单位,地表水的pH值减少5.193个单位。Based on the theory of multiple linear regression, this article collected surface water quality monitoring data from 14 observation points in Heilongjiang Province, and selected five indicators of dissolved oxygen, turbidity, permanganate index, ammonia nitrogen, and total phosphorus as independent variables. The PH value of surface water is the dependent variable. By analyzing the Pearson correlation coefficient of each variable and the dependent variable, the significance of the relationship between the respective variable and the dependent variable is tested. Using SPSS software to establish a multiple linear regression model, the results show that: turbidity(NTU) has a significant positive impact on the pH of water quality, while total phosphorus(mg/L) has a significant negative impact on the pH of surface water. When other variables remain unchanged, for every 1 unit increase in turbidity(NTU), the pH value of surface water increases by 0.046 unit;when other variables remain unchanged, total phosphorus(mg/L) increases by 1 unit Unit, the PH value of surface water decreased by 5.193 units.

关 键 词：多元线性回归模型 地表水pH值 皮尔逊相关系数 SPSS 

分 类 号：TQ[化学工程]