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| 基于回归分析的水密度与温度函数研究 |
| Study on Water Density and Temperature Function Based on Regression Analysis |
| 投稿时间：2021-01-05 |
| DOI：10.16018/j.cnki.cn32-1650/n.202103014 |
| 中文关键词: 水温度 水密度 最小二乘法 回归函数 |
| 英文关键词: water temperature water density least square method regression function |
| 基金项目:2019年德州市市级研发计划项目(201951875)。 |
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| 中文摘要: |
| 水温度与水密度之间的函数关系通常由实测经验数据列表给出，也可以绘出函数曲线。通过对数变换、移轴等数学方法，利用最小二乘法回归分析，求出因变量水密度与自变量水温度为拟抛物线型的回归函数表达式，其相关系数几乎达到1.0，为利用重力循环理论供热的管道系统水力计算研究提供了便利条件。 |
| 英文摘要: |
| The functional relationship between water temperature and water density is usually given by the list of measured empirical data, and the function curve can also be drawn. Through mathematical methods such as logarithmic transformation and axis shift, the regression function expression of pseudo parabola type between dependent variable water density and independent variable water temperature is obtained by using least square regression analysis, and its correlation coefficient is almost 1. 0, which provides convenient conditions for the hydraulic calculation and research of pipeline system heating by using gravity cycle theory. |
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