標題: Fusion of Time-Lapse Gravity Survey and Hydraulic Tomography for Estimating Spatially Varying Hydraulic Conductivity and Specific Yield Fields
作者: Tsai, Jui-Pin
Yeh, Tian-Chyi Jim
Cheng, Ching-Chung
Zha, Yuanyuan
Chang, Liang-Cheng
Hwang, Cheinway
Wang, Yu-Li
Hao, Yonghong
土木工程學系
Department of Civil Engineering
公開日期: 1-Oct-2017
摘要: Hydraulic conductivity (K) and specific yield (S-y) are important aquifer parameters, pertinent to groundwater resources management and protection. These parameters are commonly estimated through a traditional cross-well pumping test. Employing the traditional approach to obtain detailed spatial distributions of the parameters over a large area is generally formidable. For this reason, this study proposes a stochastic method that integrates hydraulic head and time-lapse gravity based on hydraulic tomography (HT) to efficiently derive the spatial distribution of K and Sy over a large area. This method is demonstrated using several synthetic experiments. Results of these experiments show that the K and Sy fields estimated by joint inversion of the gravity and head data set from sequential injection tests in unconfined aquifers are superior to those from the HT based on head data alone. We attribute this advantage to the mass constraint imposed on HT by gravity measurements. Besides, we find that gravity measurement can detect the change of aquifer's groundwater storage at kilometer scale, as such they can extend HT's effectiveness over greater volumes of the aquifer. Furthermore, we find that the accuracy of the estimated fields is improved as the number of the gravity stations is increased. The gravity station's location, however, has minor effects on the estimates if its effective gravity integration radius covers the well field.
URI: http://dx.doi.org/10.1002/2017WR020459
http://hdl.handle.net/11536/144290
ISSN: 0043-1397
DOI: 10.1002/2017WR020459
期刊: WATER RESOURCES RESEARCH
Volume: 53
起始頁: 8554
結束頁: 8571
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