3.8 Article

A statistical estimator of the spatial distribution of the water-table altitude

期刊

GROUND WATER
卷 41, 期 1, 页码 66-71

出版社

GROUND WATER PUBLISHING CO
DOI: 10.1111/j.1745-6584.2003.tb02569.x

关键词

-

向作者/读者索取更多资源

An algorithm was designed to statistically estimate the areal distribution of water-table altitude. The altitude of the water table was bounded below by the minimum water-table surface and above by the land surface. Using lake elevations and stream stages, and interpolating between lakes and streams, the minimum water-table surface was generated. A multiple linear regression among the minimum water-table altitude, the difference between land-surface and minimum water-table altitudes, and the water-level measurements from surficial aquifer system wells resulted in a consistently high correlation for all groups of physiographic regions in Florida. A simple linear regression between land-surface and water-level measurements resulted in a root-mean-square residual of 4.23 in, with residuals ranging from -8.78 to 41.54 in. A simple linear regression between the minimum water table and the water-level measurements resulted in a root-mean-square residual of 1.45 in, with residuals ranging from -7.39 to 4.10 in. The application of the multiple linear regression presented herein resulted in a root-mean-square residual of 1.05 in, with residuals ranging from -5.24 to 5.63 in. Results from complete and partial F tests rejected the hypothesis of eliminating any of the regressors in the multiple linear regression presented in this study.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据