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分析供水边界含水层抽水试验数据的新方法
引用本文:郭建青,李彦,王洪胜,周宏飞.分析供水边界含水层抽水试验数据的新方法[J].水利学报,2006,37(7):807-812.
作者姓名:郭建青  李彦  王洪胜  周宏飞
作者单位:1. 长安大学,环境科学与工程学院,陕西,西安,710054
2. 中国科学院,新疆生态与地理研究所,新疆,乌鲁木齐,830011
基金项目:中国科学院知识创新工程项目
摘    要:提出了一种分析直线供水边界含水层抽水试验数据的新方法。本文将井函数中的2个级数表达式分别采取不同的简化方式,建立了一个二元线性回归方程。将试验数据分别转换为对应回归方程中因变量和自变量的数据后,利用线性最小二乘法计算回归方程中的常数,然后利用这些常数计算含水层参数和映射井至观测井间的距离。与传统方法相比较,本文方法不需预先绘制专门图解曲线;不存在人为的随意性对计算结果精度的影响,计算过程易于程序化。

关 键 词:抽水试验  直线供水边界  含水层参数  线性回归
文章编号:0559-9350(2006)07-0807-06
收稿时间:2005-09-16
修稿时间:2005年9月16日

Linear regression method for identifying aquifer parameters and position of straight line recharge boundary
GUO Jian qing.Linear regression method for identifying aquifer parameters and position of straight line recharge boundary[J].Journal of Hydraulic Engineering,2006,37(7):807-812.
Authors:GUO Jian qing
Affiliation:Changan University, Xi'an 710054, China
Abstract:A new method for estimating aquifer parameters and determining the position of straight linear recharge boundary is proposed. The two well functions in the expression describing drawdown of observation well are expanded into series by different ways and simplified by the sums of the first 3 terms and 4 terms of the series respectively. With such approximation, a linear regression equation with one dependent variable and two independent variables is established. All these variables are the functions of the observation data in pump test, and the constants in the regression equation are the functions of the parameters to be estimated. As soon as the test data are transformed into the data of variables in the regression equation the linear least square method can be applied to calculate the constants in the equation. These constants are used to determine the aquifer parameters and the distance between imaginary well and observation well. The calculated result of a typical example using this proposed method is in good agreement with those using current methods. The method is easily to be used and has enough high accuracy.
Keywords:pumping test  aquifer parameters  linear regression  straight line recharge  simplified well function
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