The influence of riverbed heterogeneity patterns on river-aquifer exchange fluxes under different connection regimes

Tang, Qi; Kurtz, Wolfgang; Schilling, Oliver S.; Brunner, Philip; Vereecken, Harry; Franssen, Harrie‐Jan Hendricks

doi:10.1016/j.jhydrol.2017.09.031

Cited by 45 publications

(38 citation statements)

References 39 publications

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“…Spatially heterogeneous K aq and K rb fields were used as input for the open loop (OL) and DA experiments. As Tang et al () demonstrated, multi‐Gaussian distributed K fields provide good results for fully connected river‐aquifer systems, even if K rb shows non‐multi‐Gaussian patterns, and non‐multi Gaussian K fields are not required. We therefore used a multi‐Gaussian geostatistical model for the generation of both random K rb and K aq fields.…”

Section: The River‐aquifer Flow Modelmentioning

confidence: 99%

“…Data assimilation (DA) is one possible inverse modeling method for this purpose (Chen & Zhang, ; Hendricks Franssen & Kinzelbach, ). Until now DA has already been successfully applied for estimating K rb in several cases (e.g., Alzraiee et al, ; Hendricks Franssen et al, ; Kurtz et al, ; Kurtz et al, ; Kurtz et al, ; Tang et al, ; Tang et al, ). Hendricks Franssen et al () estimated leakage coefficients for a limited number of zones together with aquifer hydraulic conductivity ( K aq ), using a 3‐D variably saturated GW flow model of the Limmat valley, Switzerland.…”

Section: Introductionmentioning

confidence: 99%

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Simulating Flood‐Induced Riverbed Transience Using Unmanned Aerial Vehicles, Physically Based Hydrological Modeling, and the Ensemble Kalman Filter

Tang

Schilling

Kurtz

et al. 2018

Water Resources Research

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Flood events can change the riverbed topography as well as the riverbed texture and structure, which in turn can influence the riverbed hydraulic conductivity (Krb) and river‐aquifer exchange fluxes. A major flood event occurred in the Emme River in Switzerland in 2014, with major implications for the riverbed structure. The event was simulated with the fully integrated hydrological model HydroGeoSphere. The aim was to investigate the effect of the spatial and temporal variability of riverbed topography and Krb on predictions of hydraulic states and fluxes and to test whether data assimilation (DA) based on the ensemble Kalman filter (EnKF) can better reproduce flood‐induced changes to hydraulic states and parameters with the help of riverbed topography changes recorded with an unmanned aerial vehicle (UAV) and through‐water photogrammetry. The performance of DA was assessed by evaluating the reproduction of the hydraulic states for the year 2015. While the prediction of surface water discharge was not affected much by the changes in riverbed topography and in Krb, using the UAV‐derived postflood instead of the preflood riverbed topography reduced the root‐mean‐square error of predicted heads (RMSE [h]) by 24%. If, in addition to using the postflood riverbed topography, also Krb and aquifer hydraulic conductivity (Kaq) were updated through DA after the flood, the RMSE (h) was reduced by 55%. We demonstrate how updating of Krb and Kaq based on EnKF and UAV‐based observations of riverbed topography transience after a major flood event strongly improve predictions of postflood hydraulic states.

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Section: The River‐aquifer Flow Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulating Flood‐Induced Riverbed Transience Using Unmanned Aerial Vehicles, Physically Based Hydrological Modeling, and the Ensemble Kalman Filter

Tang

Schilling

Kurtz

et al. 2018

Water Resources Research

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“…HGS has been successfully applied in many different contexts and at many different spatial and temporal scales. Investigations on the interactions between groundwater, surface water, and vegetation (e.g., Ala‐Aho et al [], Schilling et al [], Schomburg et al []), on the development of unsaturated zones between rivers and aquifers in heterogeneous systems (e.g., Irvine et al [], Schilling et al [], Tang et al []), or on contaminant transport and tile drainage in agricultural contexts (e.g., Bonton et al [], De Schepper et al []) are just some recent examples for which HGS was used. HGS has recently been coupled to the Weather Research and Forecast (WRF) model for the integrated simulation of atmosphere, surface, and subsurface interactions (Davison et al ), to particle tracking and flow tracking tools (Partington et al ; Partington et al ; Chow et al ; Schilling et al ), and to the ensemble Kalman filter (EnKF) data assimilation tool (Kurtz et al ; Tang et al ; Tang et al ).…”

Section: Winter Hydrological Processes In Hgsmentioning

confidence: 99%

Integrated Surface and Subsurface Hydrological Modeling with Snowmelt and Pore Water Freeze–Thaw

Schilling¹,

Park²,

Therrien

et al. 2018

Groundwater

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For the simulation of winter hydrological processes a gap in the availability of flow models existed: one either had the choice between (1) physically‐based and fully‐integrated, but computationally very intensive, or (2) simplified and compartamentalized, but computationally less expensive, simulators. To bridge this gap, we here present the integration of a computationally efficient representation of winter hydrological processes (snowfall, snow accumulation, snowmelt, pore water freeze–thaw) in a fully‐integrated surface water‐groundwater flow model. This allows the efficient simulation of catchment‐scale hydrological processes in locations significantly influenced by winter processes. Snow accumulation and snowmelt are based on the degree‐day method and pore water freeze–thaw is calculated with a vertical heat conduction approach. This representation of winter hydrological processes is integrated into the fully‐coupled surface water‐groundwater flow model HydroGeoSphere. A benchmark for pore water freeze–thaw as well as two illustrative examples are provided.

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“…Several modeling and laboratory studies have evaluated the disconnection process (Brunner, Cook, et al, , Brunner, Simmons, et al, ; Desilets et al, ; Frei et al, ; Irvine et al, ; Newcomer et al, ; Rivière et al, ; Schilling et al, ; Tang et al, ; Wang et al, ; Xian et al, ; Xie et al, ). However, far fewer field studies have confirmed disconnection and the formation of unsaturated conditions beneath a river (Hatch et al, ; Kinal & Stoneman, ; Lamontagne et al, ; Moore & Jenkins, ; Shanafield et al, ; Treese et al, ).…”

Section: Introductionmentioning

confidence: 99%

Quantifying Disconnection of Groundwater From Managed‐Ephemeral Surface Water During Drought and Conjunctive Agricultural Use

Fuchs

King

Carroll

2019

Water Resources Research

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The physics of disconnection between interrelated surface and groundwater has evolved considerably in recent years, especially since conjunctive use of water resources is increasingly dependent on groundwater resilience, but methods to measure disconnection on a river basin scale are lacking especially for managed‐ephemeral and irrigated‐agricultural systems. Multiyear drought limited surface water along Rincon Valley within the Elephant Butte Irrigation District (EBID) in the arid, Lower Rio Grande Basin of south‐central New Mexico, USA, and effects were compounded by continued extraction of groundwater to meet crop requirements. Average year‐end water table elevations in recent years have been below the average elevation of the riverbed, indicating potential disconnection between the river and the aquifer even when the river flows during the irrigation season. This study analyzed data from EBID groundwater monitoring wells adjacent to the river, infiltration determined from river flows, and riverbed measurements along the Rincon Valley reach to determine net annual seepage discharge to the aquifer and annual average pressure head below the river. Annual assessment from 2010 to 2017 confirmed that the drought shifted the system from connection to transition and then to disconnection. Nonlinear regression was used to quantify this shift to disconnection and back, enabled determination of several disconnection process metrics, and was also used to confirm that nonlinear disconnection behavior was reversible without significant hysteresis. The method developed herein confirms that the total head difference transition threshold can be determined from river/riparian monitoring sites over reach to basin scales.

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The influence of riverbed heterogeneity patterns on river-aquifer exchange fluxes under different connection regimes

Cited by 45 publications

References 39 publications

Simulating Flood‐Induced Riverbed Transience Using Unmanned Aerial Vehicles, Physically Based Hydrological Modeling, and the Ensemble Kalman Filter

Simulating Flood‐Induced Riverbed Transience Using Unmanned Aerial Vehicles, Physically Based Hydrological Modeling, and the Ensemble Kalman Filter

Integrated Surface and Subsurface Hydrological Modeling with Snowmelt and Pore Water Freeze–Thaw

Quantifying Disconnection of Groundwater From Managed‐Ephemeral Surface Water During Drought and Conjunctive Agricultural Use

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