A simultaneous successive linear estimator and a guide for hydraulic tomography analysis

Jianwei Xiang, Tian Chyi J. Yeh, Cheng Haw Lee, Kuo Chin Hsu, Jet Chau Wen

研究成果: Article同行評審

84 引文 斯高帕斯(Scopus)


In this study, a geostatistically based estimator is developed that simultaneously includes all observed transient hydrographs from hydraulic tomography to map aquifer heterogeneity. To analyze tomography data, a data preprocessing procedure (including diagnosing and wavelet denoising analysis) is recommended. A least squares approach is then introduced to estimate effective parameters and spatial statistics of heterogeneity that are the required inputs for the geostatistical estimator. Since wavelet denoising does not completely remove noise from observed hydrographs, a stopping criterion is established to avoid overexploitation of the imperfect hydrographs. The estimator and the procedures are then tested in a synthetic, cross-sectional aquifer with hierarchical heterogeneity and a vertical sandbox with prearranged heterogeneity. Results of the test indicate that with this estimator and preprocessing procedures, hydraulic tomography can effectively map hierarchical heterogeneity in the synthetic aquifer as well as in the sandbox. In addition, the study shows that using the estimated hydraulic conductivity and specific storage fields of the sandbox, the classic groundwater flow model accurately predicts temporal and spatial distributions of drawdown induced by an independent pumping event in the sandbox. On the other hand, the classic groundwater flow model yields less satisfactory results when equivalent homogeneous properties of the sandbox are used.

期刊Water Resources Research
出版狀態Published - 2009 二月

All Science Journal Classification (ASJC) codes

  • 水科學與技術


深入研究「A simultaneous successive linear estimator and a guide for hydraulic tomography analysis」主題。共同形成了獨特的指紋。