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Related Concept Videos

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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Wastewater Irrigation Impacts on Soil Hydraulic Conductivity: Coupled Field Sampling and Laboratory Determination of Saturated Hydraulic Conductivity
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Parameter estimation/sensitivity analysis for an aquifer test with skin effect.

Yen-Ju Chen1, Hund-Der Yeh

  • 1Institute of Environmental Engineering, National Chiao Tung University, 75 Po-Ai Street, Hsinchu 30039, Taiwan. yenju.ev92g@nctu.edu.tw

Ground Water
|February 13, 2009
PubMed
Summary
This summary is machine-generated.

Analyzing constant-head test (CHT) data reveals how wellbore skin zones impact aquifer parameters. Composite analysis of flow rate and drawdown data provides the most accurate estimates for skin and aquifer properties.

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Area of Science:

  • Hydrogeology
  • Geophysics

Background:

  • Wellbore skin zones can significantly influence aquifer test data interpretation.
  • Accurate characterization of skin zone parameters is crucial for reliable groundwater flow modeling.

Purpose of the Study:

  • To investigate the impact of wellbore skin on aquifer test data.
  • To develop a method for simultaneously estimating skin and aquifer parameters using constant-head test (CHT) data.

Main Methods:

  • Sensitivity analysis was employed to understand groundwater flow behavior within skin and aquifer zones.
  • Simulated annealing was utilized for the simultaneous determination of skin and aquifer parameters from CHT data.
  • Four datasets of CHT data were analyzed to validate the methodology.

Main Results:

  • Analysis of wellbore flow rate and specific drawdown provided accurate estimates for skin and aquifer parameters, respectively.
  • Drawdown data alone accurately estimated skin thickness and diffusivities.
  • Composite analysis of flow rate and drawdown data yielded the most accurate estimates for all skin and aquifer parameters.

Conclusions:

  • The study demonstrates the effectiveness of composite analysis for accurate parameter estimation in skin-affected aquifers.
  • Findings offer valuable insights for analyzing CHT data influenced by wellbore skin effects.
  • Precise parameter estimation is vital for effective groundwater resource management.