HR: 1340h
AN: H33D-1613 [Abstracts]
TI: Spectral Analysis of Pumping Response in Observation Water Wells
AU: * van Gaalen, J F
EM: jvangaal@mail.usf.edu
AF: University of South Florida, College of Arts and Sciences
Dept. of Geology
4202 E. Fowler Ave., Tampa, FL 33620, United States
AU: * van Gaalen, J F
EM: jvangaal@mail.usf.edu
AF: TetraTech, Inc., 201 E. Pine St.
Suite 1000, Orlando, FL 32801, United States
AU: Kruse, S E
EM: skruse@cas.usf.edu
AF: University of South Florida, College of Arts and Sciences
Dept. of Geology
4202 E. Fowler Ave., Tampa, FL 33620, United States
AU: Burroughs, S M
EM: sburroughs@ut.edu
AF: University of Tampa, Dept. of Chemistry and Physics
401 W. Kennedy Blvd., Tampa, FL 33606, United States
AU: Lafrenz, W B
EM: bruce.lafrenz@tetratech.com
AF: University of South Florida, College of Arts and Sciences
Dept. of Geology
4202 E. Fowler Ave., Tampa, FL 33620, United States
AU: Lafrenz, W B
EM: bruce.lafrenz@tetratech.com
AF: TetraTech, Inc., 201 E. Pine St.
Suite 1000, Orlando, FL 32801, United States
AB:
During a constant rate discharge test a well is pumped for a period of time and the resulting hydrograph is used
to estimate aquifer properties. In cases where the pumping effect is expected to be within the range of
background noise it can be difficult to determine whether pumping has had an effect. We examine a sample of
hydrographs from several wells in central Florida using an s-transform to identify periods of pumping response in
overlying aquifers as compared to pumped aquifers. A series of synthetic drawdowns are superimposed on the
hydrograph of a surficial aquifer monitor well where no pumping exists to examine the viability of this method.
The spectral analysis results identify pumping response signals as well as natural signals inherent in
groundwater data such as lunar cycles and daily fluctuations. An investigation of these natural signals in 14-
years of hourly data is also presented to evaluate common groundwater frequencies ranging from daily to
decadal. This investigation affirms the utility of spectral methods for identifying small scale responses
embedded in aquifer test hydrographs.
DE: 1828 Groundwater hydraulics
DE: 1829 Groundwater hydrology
DE: 1872 Time series analysis (3270, 4277, 4475)
DE: 3255 Spectral analysis (3205, 3280)
DE: 3280 Wavelet transform (3255, 4455)
SC: Hydrology [H]
MN: 2007 Fall Meeting