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Related Experiment Videos

An improved straight-line fitting method for analyzing pumping test recovery data.

Li Zheng1, Jian-Qing Guo, Yuping Lei

  • 1Center for Agriculture Resources Research, Chinese Academy of Sciences, Hebei, People's Republic of China.

Ground Water
|December 6, 2005
PubMed
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This study presents a simplified linear method for calculating aquifer transmissivity and storage coefficient from well recovery data. The new approach improves the analysis of short-term recovery data, requiring only data from one well.

Area of Science:

  • Hydrogeology
  • Groundwater Hydrology
  • Resource Management

Background:

  • Theis (1935) provided an exact solution for residual drawdown after pumping tests.
  • Accurate determination of aquifer properties is crucial for effective groundwater management.
  • Existing methods for analyzing well recovery data have limitations, especially with short-term data.

Purpose of the Study:

  • To develop a simplified linear method for determining transmissivity and storage coefficient from well recovery data.
  • To improve the analysis of short-term recovery data by applying different approximations to the Theis solution components.
  • To provide a method that does not require knowledge of drawdown at the moment of pumping cessation.

Main Methods:

  • Approximation of the Theis solution by applying different methods to its two components (s1 and s2).

Related Experiment Videos

  • Utilizing the Cooper-Jacob approximation for the s1 component.
  • Truncating the well function expansion for the s2 component to its first three terms.
  • Developing a linear relation for parameter estimation from recovery data.

    • Main Results:

    • The proposed method yields a simple linear relation for calculating transmissivity and storage coefficient.
    • Different approximations for s1 and s2 components enhance the utility of short-term recovery data.
    • The method allows for accurate analysis with less stringent conditions on the argument of the well function compared to standard approximations.

    Conclusions:

    • The developed method offers a practical and efficient approach for analyzing well recovery data.
    • It significantly improves the usability of short-term recovery data in hydrogeological assessments.
    • The method simplifies the determination of key aquifer parameters from readily available data.