2019
DOI: 10.1111/gwat.12923
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Comparing Methods of Barometric Efficiency Characterization for Specific Storage Estimation

Abstract: Groundwater responses to barometric pressure fluctuations are characterized using the concept of barometric efficiency (BE). For semiconfined and confined aquifers, BE values can be used to provide efficient, low‐cost estimates of specific storage. This study compares, for the first time, eight existing methods of BE estimation. Comparisons were undertaken using data from the Peel region of Western Australia. Fourier analysis and regression deconvolution methods were used to estimate aquifer confinement status… Show more

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Cited by 23 publications
(28 citation statements)
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“…Following Figure 3, time series were detrended to eliminate present trends. The usual frequency upper limit to eliminate for trends ranges from 0.5 cycles per day [56] to 0.8 cycles per day [46,50]. Hereby, we did not limit the cutoff threshold, since the sixth order polynomial fit was applied to minimize RMSE when fitting the observed signal, and thus the cutoff was not same for different time series.…”
Section: Resultsmentioning
confidence: 99%
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“…Following Figure 3, time series were detrended to eliminate present trends. The usual frequency upper limit to eliminate for trends ranges from 0.5 cycles per day [56] to 0.8 cycles per day [46,50]. Hereby, we did not limit the cutoff threshold, since the sixth order polynomial fit was applied to minimize RMSE when fitting the observed signal, and thus the cutoff was not same for different time series.…”
Section: Resultsmentioning
confidence: 99%
“…Long-term periodicity in barometric pressure is usually explained as the consequence of the spatial displacement of air mass [42,46,56], whereas p A captures diurnal and semidiurnal barometric changes due to the effects of air heating and cooling following the transition from day to night and opposite, as well as the all changes, except for the trends [45,50]. In this manner, detrended groundwater head signal was defined as temporally dependent:…”
Section: Time Series Analysismentioning
confidence: 99%
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