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    Fusion of Time-Lapse Gravity Survey and Hydraulic Tomography for Estimating Spatially Varying Hydraulic Conductivity and Specific Yield Fields

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    Name:
    Tsai_et_al-2017-Water_Resource ...
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    Description:
    Final Published Version
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    Author
    Tsai, Jui-Pin
    Yeh, Tian-Chyi Jim
    Cheng, Ching-Chung
    Zha, Yuanyuan
    Chang, Liang-Cheng cc
    Hwang, Cheinway cc
    Wang, Yu-Li
    Hao, Yonghong cc
    Affiliation
    Univ Arizona, Dept Hydrol & Atmospher Sci
    Issue Date
    2017-10
    
    Metadata
    Show full item record
    Publisher
    AMER GEOPHYSICAL UNION
    Citation
    Fusion of Time-Lapse Gravity Survey and Hydraulic Tomography for Estimating Spatially Varying Hydraulic Conductivity and Specific Yield Fields 2017, 53 (10):8554 Water Resources Research
    Journal
    Water Resources Research
    Rights
    © 2017. American Geophysical Union. All Rights Reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    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.
    Note
    6 month embargo; published online: 30 October 2017
    ISSN
    00431397
    DOI
    10.1002/2017WR020459
    Version
    Final published version
    Sponsors
    Ministry of Science and Technology, Taiwan [MOST 104-2917-I-564-085, 105-2221-E-009-054-MY3, 105-2811-E-009-018]; Strategic Environmental Research and Development Program (SERDP) [ER-1365]; Environmental Security Technology Certification Program (ESTCP) [ER201212]; US National Science Foundation-Division of Earth Sciences [1014594]; Outstanding Oversea Professorship award through Jilin University from Department of Education, China; Global Expert award through Tianjin Normal University from the Thousand Talents Plan of Tianjin City
    Additional Links
    http://doi.wiley.com/10.1002/2017WR020459
    ae974a485f413a2113503eed53cd6c53
    10.1002/2017WR020459
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