Aspects of Aquifer Test Error Analysis
Aspects of Aquifer Test Error Analysis
复制标题
含水层测试误差分析的各个方面
DOI：
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发表时间：
1981
期刊：
影响因子：
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通讯作者：
D. Davis
中科院分区：
文献类型：
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作者：
Ahmed M. Benbarka;D. Davis
从含水层测试数据中得出的含水层参数T和S的估计误差的原因和影响进行检查。分析是基于泰斯方程。误差的基本原因是在测量的下降和抽水率，在拟合模型的数据和违反模型的假设。对测量误差进行了实验研究。将水文学家的曲线拟合与通过非线性回归获得的“自动”曲线拟合进行了比较。以这种方式获得的T和S的协方差矩阵与敏感性分析一起用于估计未来下降预测的误差。虽然自动拟合不是图形拟合的完美替代品，但这两种方法之间存在一定的关系，允许使用非线性回归理论开发的统计数据来研究含水层分析中固有的原因、影响和风险。
Errors in the estimation of the aquifer parameters T and S derived from aquifer test data are examined as to their cause and effects. The analysis is based on the Theis equation. The basic causes of error are in the measurements of drawdown and pumping rate, in fitting the model to the data and in violations of model assumptions. Measurement errors were studied experimentally. Curve fittings by hydrologists were compared to "automatic" curve fittings obtained by nonlinear regression. The covariance matrix of T and S obtained in this manner was used, in conjunction with sensitivity analysis, to estimate the error in prediction of future drawdown. While automatic fitting is not a perfect substitute for graphical fitting, there is a definite relation between the two methods which allows the use of the statistics developed by nonlinear regression theory to be used to study the cause, effects and risks inherent in aquifer analysis.