Estimating Transmissivity From the Water Level Fluctuations of a Sinusoidally Forced Well
Mehnert, Edward
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/83449
Description
Title
Estimating Transmissivity From the Water Level Fluctuations of a Sinusoidally Forced Well
Author(s)
Mehnert, Edward
Issue Date
1998
Doctoral Committee Chair(s)
Valocchi, Albert J.
Department of Study
Civil Engineering
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Physics, Atmospheric Science
Language
eng
Abstract
These new methods were tested using generated and field data. Using the generated data, the new methods reproduced the known values of T, even when modest levels of noise were included. For the field data, the amplitude and damping ratios were determined, and transmissivity was estimated. These data were also analyzed with the frequency domain approach of Rojstaczer (1988). The estimates of T determined using nonlinear regression, time series analysis, and Rojstaczer (1988) were consistent in the absolute and relative magnitude for both wells. However, the estimates of transmissivity determined with these three methods were generally lower than the values determined by field methods (slug tests, pump tests, and a packer test). These differences in T may be explained by differences in the radius of investigation of each test and the geologic heterogeneity. Testing these new methods with additional field data is suggested. Atmospheric tides and earth tides can cause the water level in a well to oscillate in a sinusoidal fashion. Two new methods for estimating transmissivity (T) from the analysis of these water-level oscillations were developed. The goal of this thesis was to improve upon the available methods for analyzing these data by developing a simplified, time-domain solution.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.