Features of spatiotemporal groundwater head variation using independent component analysis

Hsiao, Chin Tsai; Chang, Liang-Cheng; Tsai, Jung‐Fa; Chen, You Cheng

doi:10.1016/j.jhydrol.2017.02.021

Cited by 18 publications

(5 citation statements)

References 24 publications

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“…Known characteristics of different natural or anthropogenic events could be helpful for this purpose since the groundwater responses likely carry characteristics of these events, which may be different from the river stage variation. Wavelet (Wang et al, 2017) and independent component analysis (Hsiao et al, 2017) are potential tools to cope with the impacts of other excitations.…”

Section: Discussionmentioning

confidence: 99%

“…It is important to emphasize that the aquifer characterization studies as well as the river stage tomography discussed previously make use of the groundwater pressure responses due to river stage fluctuations, rather than the actual water exchange between the river and the adjacent aquifers as presented in the studies by Vazquez‐Sune et al () and Brunner et al (). The rationale rests upon the fact that the pressure responses of the aquifer (e.g., from few centimeters to several tens of centimeters) to the river excitations can propagate for up to tens of kilometers in confined or semiconfined aquifer as substantiated by the field observations (e.g., Sophocleous, , Promma et al, , Jardani et al, , Ramirez‐Hernandez et al, , Hsiao et al, , Wang et al, , and others), while actual flow exchanges between river and groundwater are often limited to hundreds of meters at most. For example, Sophocleous () reported that there are at least 0.25 ft head changes (site #5) in response to the river fluctuation at a long distance (10 km away from the river) in a “conceptually” confined aquifer in Kansas, USA (Figures and in Sophocleous, ).…”

Section: Introductionmentioning

confidence: 99%

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Resolution and Ergodicity Issues of River Stage Tomography With Different Excitations

Wang

Yeh

Wen

et al. 2019

Water Resources Research

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This study investigates spatiotemporal cross correlation between the observed head and the hydraulic diffusivity parameters in heterogeneous aquifers under static and migrating periodic excitations with different frequencies and other factors and a moving single excitation along a river boundary. Results of the cross-correlation analysis are verified by estimating the parameters in a synthetic heterogeneous aquifer under these excitations. For assuring the statistical significance of the results based on a single realization, Monte Carlo experiments of estimating the parameters with these excitations are conducted. The experiments also explore the relationship between the resolution of the estimated parameters and the distance from the excitation to the observation wells, the frequency, and amplitude of the excitation and the mean diffusivity of the aquifer. In addition, the relationship between the resolution of the estimates and monitoring network spatial density is investigated. Finally, the usefulness of moving single excitations, effects of frequencies of the periodic excitations under different situations, the density of monitoring network in term of correlation scale, and the ergodicity issue corresponding to the number of observation and size of simulation domain are discussed. ). Resolution and ergodicity issues of river stage tomography with different excitations. Water Resources Research, 55, 4974-4993. https://doi.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resolution and Ergodicity Issues of River Stage Tomography With Different Excitations

Wang

Yeh

Wen

et al. 2019

Water Resources Research

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“…Moreover, in this approach, the temporal lags of groundwater level dynamics to precipitation at different regions can be identified [36,[42][43][44][45][46]. Therefore, the spatiotemporal patterns of characterized results can help to understand hydrological processes, validate the simulated results of a hydrological model, and promote sustainable use of groundwater resources [10,[42][43][44]. In addition, the results can also help assess aquifer vulnerability to climate change [45].…”

Section: The Practical Value Of the Methodsmentioning

confidence: 99%

Assessing the Influence of Precipitation on Shallow Groundwater Table Response Using a Combination of Singular Value Decomposition and Cross-Wavelet Approaches

Pan

Zhang

et al. 2018

Water

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Identifying the spatiotemporal change of the groundwater table to precipitation at the river basin scale can be important for regional water resource management. In this study, we proposed a method that combines singular value decomposition and cross-wavelet approaches to analyze the relationship between groundwater level dynamics and precipitation. The method was applied to the Naoli River Basin, Northeast China. Moreover, the method of continuous wavelet using fast Fourier transform was also used to reveal clearly the relationship between groundwater level and heavy precipitation. The results showed that the major mode of relationship between groundwater and precipitation was divided into four patterns in the study area. In general, the lag time is 27.4 (standard deviation: ±8.1) days in pattern 1, 107.5 (standard deviation: ±13.2) days in pattern 2, 139.9 (standard deviation: ±11.2) days in pattern 3, and 173.4 (standard deviation: ±20.3) days in pattern 4, respectively. In addition, the response of groundwater level dynamics is very sensitive to heavy precipitation in all patterns. Therefore, enhancing the utilization of heavy rainfall and flood resources is an effective way to increase groundwater recharge in this basin.

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“…Groundwater level fluctuations driven by various hydrological processes can evolve with spatiotemporal scales, since groundwater is a complex dynamic system with non-stationary and scale-dependent input, output, and response 1,2 . For example, groundwater input can be affected by hydraulic properties of aquifers and other hydrological processes including precipitation, runoff, infiltration, and evaporation.…”

Section: Introductionmentioning

confidence: 99%

Fractal nature of groundwater level fluctuations affected by riparian zone vegetation water use and river stage variations

Sun

Zhu

et al. 2019

Sci Rep

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Groundwater systems affected by various factors can exhibit complex fractal behaviors, whose reliable characterization however is not straightforward. This study explores the fractal scaling behavior of the groundwater systems affected by plant water use and river stage fluctuations in the riparian zone, using multifractal detrended fluctuation analysis (MFDFA). The multifractal spectrum based on the local Hurst exponent is used to quantify the complexity of fractal nature. Results show that the water level variations at the riparian zone of the Colorado River, USA, exhibit multifractal characteristics mainly caused by the memory of time series of the water level fluctuations. The groundwater level at the monitoring well close to the river characterizes the season-dependent scaling behavior, including persistence from December to February and anti-persistence from March to November. For the site with high-density plants (Tamarisk ramosissima, which requires direct access to groundwater as its source of water), the groundwater level fluctuation becomes persistent in spring and summer, since the plants have the most significant and sustained influence on the groundwater in these seasons, which can result in stronger memory of the water level fluctuation. Results also show that the high-density plants weaken the complexity of the multifractal property of the groundwater system. In addition, the groundwater level variations at the site close to the river exhibit the most complex multifractality due to the influence of the river stage fluctuation.

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Features of spatiotemporal groundwater head variation using independent component analysis

Cited by 18 publications

References 24 publications

Resolution and Ergodicity Issues of River Stage Tomography With Different Excitations

Resolution and Ergodicity Issues of River Stage Tomography With Different Excitations

Assessing the Influence of Precipitation on Shallow Groundwater Table Response Using a Combination of Singular Value Decomposition and Cross-Wavelet Approaches

Fractal nature of groundwater level fluctuations affected by riparian zone vegetation water use and river stage variations

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