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Related Experiment Videos

A simple approach using Bouwer and Rice's method for slug test data analysis.

Shaw-Yang Yang1, Hund-Der Yeh

  • 1Department of Civil Engineering, Vanung University, No. 1, Vannung Rd., Chungli City, Taoyuan, Taiwan. shaoyang@vnu.edu.tw

Ground Water
|October 2, 2004
PubMed
Summary
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This study introduces a new numerical method and polynomials to accurately determine aquifer hydraulic conductivity from slug test data. The SLUGBR code provides a reliable tool for hydrogeologists analyzing groundwater flow.

Area of Science:

  • Hydrogeology
  • Environmental Engineering
  • Groundwater Hydrology

Background:

  • Slug tests are crucial for estimating aquifer parameters.
  • Traditional analysis methods include graphical and numerical approaches.
  • Accurate determination of hydraulic conductivity is vital for groundwater management.

Purpose of the Study:

  • To derive polynomials relating Bouwer and Rice's coefficients to geometric ratios.
  • To develop a numerical method for hydraulic conductivity determination using nonlinear least squares and Newton's method.
  • To create a computer code (SLUGBR) for efficient slug test data analysis.

Main Methods:

  • Derivation of three fourth-degree polynomials.
  • Application of nonlinear least squares and Newton's method for data fitting.

Related Experiment Videos

  • Development of the SLUGBR computer code.

    • Main Results:

    • Polynomials established for Bouwer and Rice's coefficients based on geometric ratios.
    • Accurate hydraulic conductivity values obtained through the numerical approach.
    • Validation of the SLUGBR code using two independent slug test datasets.

    Conclusions:

    • The derived polynomials and numerical method provide an accurate way to determine hydraulic conductivity.
    • The SLUGBR code offers a reliable and efficient tool for analyzing slug test data.
    • This approach enhances the precision of aquifer parameter estimation in hydrogeological studies.