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

Sun, HongGuang; Gu, Xiang-Kui; Zhu, Jianting; Yu, Zhigang; Zhang, Yong

doi:10.1038/s41598-019-51657-0

Cited by 10 publications

(10 citation statements)

References 22 publications

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“…At the same time, barometric pressure and temperature were recorded at the location We select a 1-h interval in our study to satisfy the request of wavelet analysis (equal interval), since the river stages were recorded with a 1-h interval. A detailed description of the study site can be found in the work of Zhu et al (2012) and Sun et al (2019). Precipitation is another surface factor that can affect the groundwater level, since it can provide recharge to the aquifer and river.…”

Section: Field Site and Data Collectionmentioning

confidence: 99%

Multiple Wavelet Coherence to Evaluate Local Multivariate Relationships in a Groundwater System

Sun

Zhang

et al. 2021

Groundwater

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Groundwater level fluctuations are affected by surface properties due to complex correlations of groundwatersurface water interaction and/or other surface processes, which are usually hard to be accurately quantified. Previous studies have assessed the relationship between groundwater level fluctuations and specific controlling factors. However, few studies have been conducted to explore the impact of the combination of multiple factors on the groundwater system. Hence, this paper tries to explore the localized and scale-specific multivariate relationships between the groundwater level and controlling factors (such as hydrologic and meteorological factors) using bivariate wavelet coherence and multiple wavelet coherence. The groundwater level fluctuations of two wells in areas covered by different plant densities (i.e., the riparian zone of the Colorado River, USA) are analyzed. Main findings include three parts. First, barometric pressure and river stage are the best factors to interpret the groundwater level fluctuations at small scales (<1 day) and large scales (>1 day) at the well of low-density plants stand, respectively. Second, at the well of high-density plants stand, the best predictors to control the groundwater level fluctuations include barometric pressure (<1 day), the combination of barometric pressure and temperature (1-7 days), temperature (7-30 days), and the combination of barometric pressure, temperature, and river stage (>30 days). The best predictor of groundwater head fluctuations depends on the variance of the vegetation coverage and hydrological processes. Third, these results provide a suite of factors to explain the groundwater level variations, which is an important topic in water-resource prediction and management.

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Section: Field Site and Data Collectionmentioning

confidence: 99%

Multiple Wavelet Coherence to Evaluate Local Multivariate Relationships in a Groundwater System

Sun

Zhang

et al. 2021

Groundwater

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“…Riparian zone, the part of the watershed immediately adjacent to the stream channel, is considered as buffer zones and gateways of nutrients and pollutants in catchments for streams (Hester & Fox, 2020; Li et al, 2020). Hydrological processes in riparian zones play an important role in the controlling of hydrogeochemical (Veizaga et al, 2019; Wen et al, 2018), biogeochemical (Ledesma et al, 2016), and ecological (Sun et al, 2019; Tai et al, 2018; Thibault et al, 2017) processes in stream‐aquifer systems. It was reported that significant riparian evaporative fluxes caused gaining river conditions to change to losing conditions and led to groundwater chemistry changes (America et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…and ecological (Sun et al, 2019;Tai et al, 2018;Thibault et al, 2017) processes in stream-aquifer systems. It was reported that significant riparian evaporative fluxes caused gaining river conditions to change to losing conditions and led to groundwater chemistry changes (America et al, 2020).…”

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confidence: 99%

“…It was reported that the stream flow influenced the amplitude of groundwater depth within the range of 300 m from the riverbank, and the stream lateral seepage was mainly controlled by the stream flow and its durations in an arid inland river basin (Xi et al, 2018). Moreover, groundwater level variations at the site close to the river exhibit the most complex multifractality due to influences of river stage fluctuations (Sun et al, 2019). In response to the interaction between groundwater and surface water, riparian soil moisture at deep layers also followed the variation of river water level (Zeng et al, 2016).…”

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confidence: 99%

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Influences of overlapped riparian groundwater mounds on interaction between surface water and groundwater

Yuan

Wang

2022

Hydrological Processes

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A losing river usually produces riparian groundwater mounds. Knowledge of influences of the mound on riparian hydrological processes is still limited. To fill the gap, we measured the annual regime of riparian groundwater at a cross-section of a river channel in a semi-arid valley where the water transfer is running. Results show that the hydrologic processes were totally controlled by the water transfer. The river runoff was dominated by the transferred water. Regulation of the water transfer caused river stage fluctuations that were companied by hydrochemical variations of the river water. The water transfer enhanced infiltration into the riparian zone. Consequently, the river water and the riparian groundwater kept connection during the one-year observation. The annual recharge and the input of total dissolved solids (TDS) from the river to the riparian zone reached 195.8 m 3 and 125.0 kg, respectively. Furthermore, the Pearson's r between the river stage and riparian groundwater level was 0.98 at 2 m, 0.94 at 20 m, and 0.93 at 40 m (α = 0.01) from the riverside, respectively. The curved river produces the convergence of hydraulic gradients, which drives the overlap of groundwater mounds. The overlap is evidenced by anomalies in water level, hydrochemistry, and temperature of the riparian groundwater at the cross-section. When the river stage and adjacent groundwater level went down, the overlap locally reversed the hydraulic gradient to point to the river hindering the recharge from the river. Hence, the average daily recharge from the river decreased from 1.10 to 0.59 m 3 . The riparian groundwater discharged into the river after quick declines of the river stage. In total, 39.2 m 3 of riparian groundwater discharged into the river accounting for 20% of the annual recharge from the river. The impact of the hydrochemical variation of the river water on the riparian groundwater was also blocked due to the overlap. Also 20% of the TDS input was returned to the river. The overlap reduced the impact of the water transfer on the local environment.groundwater mound, hydrologic processes, interaction between surface water and groundwater, riparian zone, the Fen River, water transfer | INTRODUCTIONRiparian zone, the part of the watershed immediately adjacent to the stream channel, is considered as buffer zones and gateways of nutrients and pollutants in catchments for streams (Hester & Fox, 2020;Li et al., 2020). Hydrological processes in riparian zones play an important role in the controlling of hydrogeochemical (Veizaga

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“…They identified climate variability (at interannual and decadal scales) as the prime driver of the groundwater availability. Sun et al (2019) characterized the multifractal nature of groundwater level fluctuations under the impact of vegetation.…”

Section: Introductionmentioning

confidence: 99%

Identifying and quantifying the latent factors controlling spring discharge in an industrialized karst watershed

Jamshidi

Qian

et al. 2021

Preprint

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Karst springs have largely been impacted by human activity and climate change, which increases the uncertainties to supply and management of water resources. It’s essential to understand the footprint of the controlling factors on their hydrological behavior. Taking the example of Niangziguan springs in China, this study explores the time series of spring discharge over a 50-year time-window (1959–2007). Local Hurst exponent is employed to analyze its temporal correlation behavior. The prime latent factors of spring discharge are extracted and identified using dynamic factor analysis and wavelet analysis, respectively. Moreover, we quantified the contributions of latent factors to spring discharge. The results exhibit that the spring discharge is controlled by the positive feedback mechanism before the exploitation of karst groundwater, however, human activities lead to the feature of noise for spring discharge fluctuations. With the development of industry and agriculture, the effect of the combination of controlling factors on spring discharge tends to be stable. Before groundwater exploited, the local recharge cycle of groundwater shows the largest contribution (43%) on spring discharge focusing on the scales of 4–16 months, and the construction of the industrial region weakens the impact of local groundwater recharge (41%). The contribution of human activities, regional groundwater recharge, and rainfall/runoff to spring discharge (27%-30%) is almost equal. Therefore, human activities have become one of the most important factors controlling the spring discharge. The WNPM (West North Pacific Monsoon) and ISM (Indian Summer Monsoon) show the smallest effect (3%) on spring discharge.

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

Cited by 10 publications

References 22 publications

Multiple Wavelet Coherence to Evaluate Local Multivariate Relationships in a Groundwater System

Multiple Wavelet Coherence to Evaluate Local Multivariate Relationships in a Groundwater System

Influences of overlapped riparian groundwater mounds on interaction between surface water and groundwater

Identifying and quantifying the latent factors controlling spring discharge in an industrialized karst watershed

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