Rapid identification of transience in streambed conductance by inversion of floodwave responses

Gianni, Guillaume; Richon, J; Perrochet, Pierre; Vogel, Alexandre; Brunner, Philip

doi:10.1002/2015wr017154

Cited by 38 publications

(36 citation statements)

References 38 publications

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“…A repeated application of freeze-cores in streambeds or alluvial plains could help to track the high transience of physical properties that occur in fluvial environments (Gianni et al, 2016;Partington et al, 2017). The 3D representation of soil and the high resolution offered by micrometric resolution X-ray CT allows the simulation of infiltration and recharge dynamics on a pore scale, thus providing valuable, process based information related to hydrogeological applications such as the management of riverine ecosystems or remediation strategies in contaminated sites (Zhang et al, 2016).…”

Section: Applications and Perspective Of The Methodsmentioning

confidence: 99%

Coupling X-ray computed tomography and freeze-coring for the analysis of fine-grained low-cohesive soils

et al. 2017

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A B S T R A C TThis paper presents the coupling of freeze-core sampling with X-ray CT scanning for the analysis of the soil structure of fine-grained, low-cohesive soils. We used a medical scanner to image the 3D soil structure of the frozen soil cores, providing X-ray CT data at a millimetric resolution over freeze-cores that are up to 62.5 cm long and 25 cm wide. The obtained data and the changes in gray level values could be successfully used to identify and characterize different soil units with distinctly different physical properties. Traditional measurements of soil bulk density, carbon and particle size analyses were conducted within each of the identified soil units. These observations were used to develop a 3D model of soil bulk density and organic matter distribution for five freeze-cores obtained at a restored floodplain in Switzerland. The millimetric X-ray CT scanning was applied to detect the impact of freeze-coring on the soil structural integrity. This allows identifying undisturbed zones, a critical precondition for any subsequent assessment of soil structure. The proposed coupling is thought to be applicable to a wide range of other low-cohesive soil types and has a large potential for applications in hydrogeology, biology or soil science.

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Section: Applications and Perspective Of The Methodsmentioning

confidence: 99%

Coupling X-ray computed tomography and freeze-coring for the analysis of fine-grained low-cohesive soils

et al. 2017

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“…In a semiinfinite homogeneous isotropic confined aquifer as shown in Figure , on the basis of previous studies (e.g., Gianni et al, ; Ha et al, ; Hall & Moench, ; Singh, ; Singh et al, ), the unit response function of the aquifer system to the river stage fluctuation can be described by the following mathematical model:

a \cdot \frac{\partial^{2} ψ_{δ}}{\partial x^{2}} = \frac{\partial ψ_{δ}}{\partial t}, x \geq 0, t \geq 0,

{\frac{\partial ψ_{δ}}{\partial x}|}_{x = 0} = \frac{{ψ_{δ}|}_{x = 0} - δ ((), t)}{R},

ψ_{δ} ((),, x = \infty, t) = 0,

ψ_{δ} ((), x, t = 0) = 0,

where δ ( t ) is the Dirac delta function representing the impulse change of the river stage (−), a is the aquifer diffusivity (L 2 /T), and R is the river resistance (L) describing the resistance to flow imparted by the river because of its semipervious riverbed and/or bank and the partial penetration of the river (Gianni et al, ; Singh et al, ). The river resistance R thus corresponds to the distance into the riverbanks where the pressure response from the river stage is immediate (or the same).…”

Section: Theoretical Developmentsmentioning

confidence: 98%

Spectral Analysis of River Resistance and Aquifer Diffusivity in a River‐Confined Aquifer System

Wang

Wörman

2019

Water Resources Research

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Hydraulic connections between a river and an adjacent aquifer are controlled by the river resistance and aquifer diffusivity. In this paper, we derive a spectral solution linking the power spectrum of river stage fluctuations to that of the hydraulic head of a confined aquifer by means of a physical scaling factor. The physical scaling factor represents an algebraic expression of the river resistance and aquifer diffusivity and is included in an exact spectral solution derived herein. Statistical measures of the aquifer diffusivity and river resistance are provided by fitting the solution versus observed groundwater hydraulic head obtained at several distances and/or frequencies. At a study site in the middle reach of the Yangtze River and downstream of the Three Gorges Dam in China, we find systematic damping of the hydraulic head variations with distance from the river, which follows a fractal pattern driven by the river stage. In general, the estimated parameters are consistent with results reported in the literature, which supports the validity of the proposed spectral approach, although the paper discusses advantages and limitations due to application conditions.

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“…Gianni et al . [] presented a new approach that allows the detection of transience in hydraulic conductivity of the streambed based on time series measurements of stream stages and the hydraulic response in the aquifer. At their study site, an increase of one order of magnitude of hydraulic conductivity was observed after floods, as well as during periods where the stream drained the aquifer (as opposed to infiltrating it).…”

Section: Streambed Dynamics In Relation To Hydraulic Propertiesmentioning

confidence: 99%

“…After the flood season, the mean and Reviews of Geophysics 10.1002/2016RG000530 median hydraulic conductivity of the streambed decreased, and its variance increased indicating greater heterogeneity in the grain size distribution of the sediments forming the streambed. Gianni et al [2016] presented a new approach that allows the detection of transience in hydraulic conductivity of the streambed based on time series measurements of stream stages and the hydraulic response in the aquifer. At their study site, an increase of one order of magnitude of hydraulic conductivity was observed after floods, as well as during periods where the stream drained the aquifer (as opposed to infiltrating it).…”

Section: Streambed Dynamics In Relation To Hydraulic Propertiesmentioning

confidence: 99%

Blueprint for a coupled model of sedimentology, hydrology, and hydrogeology in streambeds

Partington

Therrien

Simmons

et al. 2017

Reviews of Geophysics

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The streambed constitutes the physical interface between the surface and the subsurface of a stream. Across all spatial scales, the physical properties of the streambed control surface water‐groundwater interactions. Continuous alteration of streambed properties such as topography or hydraulic conductivity occurs through erosion and sedimentation processes. Recent studies from the fields of ecology, hydrogeology, and sedimentology provide field evidence that sedimentological processes themselves can be heavily influenced by surface water‐groundwater interactions, giving rise to complex feedback mechanisms between sedimentology, hydrology, and hydrogeology. More explicitly, surface water‐groundwater exchanges play a significant role in the deposition of fine sediments, which in turn modify the hydraulic properties of the streambed. We explore these feedback mechanisms and critically review the extent of current interaction between the different disciplines. We identify opportunities to improve current modeling practices. For example, hydrogeological models treat the streambed as a static rather than a dynamic entity, while sedimentological models do not account for critical catchment processes such as surface water‐groundwater exchange. We propose a blueprint for a new modeling framework that bridges the conceptual gaps between sedimentology, hydrogeology, and hydrology. Specifically, this blueprint (1) fully integrates surface‐subsurface flows with erosion, transport, and deposition of sediments and (2) accounts for the dynamic changes in surface elevation and hydraulic conductivity of the streambed. Finally, we discuss the opportunities for new research within the coupled framework.

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Rapid identification of transience in streambed conductance by inversion of floodwave responses

Cited by 38 publications

References 38 publications

Coupling X-ray computed tomography and freeze-coring for the analysis of fine-grained low-cohesive soils

Coupling X-ray computed tomography and freeze-coring for the analysis of fine-grained low-cohesive soils

Spectral Analysis of River Resistance and Aquifer Diffusivity in a River‐Confined Aquifer System

Blueprint for a coupled model of sedimentology, hydrology, and hydrogeology in streambeds

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