Topography scale effects on groundwater-surface water exchange fluxes in a Canadian Shield setting

Snowdon, A. P.; Sykes, J. F.; Normani, S. D.

doi:10.1016/j.jhydrol.2020.124772

Cited by 7 publications

(6 citation statements)

References 57 publications

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“…Snowdon et al [59] have also recently shown the dependence of groundwater recharge and discharge on grid resolution when modelling shallow groundwater. Discretising a 715 km 2 catchment using grids ranging in resolution from 3 to 250 m, they similarly demonstrated that exchange flux magnitudes are sensitive to the hydraulic conductivity of the shallow bedrock and the hydraulic gradient, and therefore, that modelling at increasingly lower resolutions becomes subject to greater uncertainty.…”

Section: Discussionmentioning

confidence: 99%

Integration of 2D Lateral Groundwater Flow into the Variable Infiltration Capacity (VIC) Model and Effects on Simulated Fluxes for Different Grid Resolutions and Aquifer Diffusivities

Scheidegger

Jackson

Sekhar

et al. 2021

Water

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Better representations of groundwater processes need to be incorporated into large-scale hydrological models to improve simulations of regional- to global-scale hydrology and climate, as well as understanding of feedbacks between the human and natural systems. We incorporated a 2D groundwater flow model into the variable infiltration capacity (VIC) hydrological model code to address its lack of a lateral groundwater flow component. The water table was coupled with the variably saturated VIC soil column allowing bi-directional exchange of water between the aquifer and the soil. We then investigated how variations in aquifer properties and grid resolution affect modelled evapotranspiration (ET), runoff and groundwater recharge. We simulated nine idealised, homogenous aquifers with different combinations of transmissivity, storage coefficient, and three grid resolutions. The magnitude of cell ET, runoff, and recharge significantly depends on water table depth. In turn, the distribution of water table depths varied significantly as grid resolution increased from 1° to 0.05° for the medium and high transmissivity systems, resulting in changes of model-average fluxes of up to 12.3% of mean rainfall. For the low transmissivity aquifer, increasing the grid resolution has a minimal effect as lateral groundwater flow is low, and the VIC grid cells behave as vertical columns. The inclusion of the 2D groundwater model in VIC will enable the future representation of irrigation from groundwater pumping, and the feedbacks between groundwater use and the hydrological cycle.

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Section: Discussionmentioning

confidence: 99%

Integration of 2D Lateral Groundwater Flow into the Variable Infiltration Capacity (VIC) Model and Effects on Simulated Fluxes for Different Grid Resolutions and Aquifer Diffusivities

Scheidegger

Jackson

Sekhar

et al. 2021

Water

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“…Snowdon et al [11] Used topographic indices, hydraulic heads, and hyporheic exchange flux for groundwater resource management at different spatial scales.…”

Section: Reference Key Findingsmentioning

confidence: 99%

“…Recent studies focused on the upscaling of various controlling factors of SW-GW interaction from a point or local scale to a regional scale [8][9][10][11][12]. The key findings of some studies are summarized in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Upscaling of Surface Water and Groundwater Interactions in Hyporheic Zone from Local to Regional Scale

Akhtar

Syakir

Ahmad

et al. 2022

Water

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The groundwater (GW) and surface water (SW) interaction (SW-GW) through the hyporheic zone is a significant component in sustainable water resource management. The complexities in SW-GW interactions increase from a local to a regional scale and are affected by variation in hydraulic, hydrologic, and hydrogeologic (3H) processes. Controlling factors and their upscaling of these processes to assess SW-GW interaction have not been addressed sufficiently in previous studies. Additionally, it is unclear what the effective factors are at different scales during the upscaling. Therefore, the present review focused on controlling factors of 3H processes in SW-GW interaction and their upscaling techniques. Relevancy of controlling factors was identified at different scales. Applications of different approaches and their uncertainties were also discussed for the characterization of SW-GW interactions. The study revealed that the improved data from different approaches is crucial for machine learning training and its application in the SW and GW assessment at local, sub-catchment, and catchment scales. Based on the outcomes, a framework has been proposed to execute modalities of controlling factors using remote sensing, geophysics, and artificial intelligence. The proposed framework could help in handling big data and accurate upscaling for water resource management.

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“…Further calibration of the topographic maps was performed based on field surveys. All data were resampled to a pixel size of 30 × 30 m. Topography is important for runoff generation and retention, and water concentrations [55].…”

Section: Selection Of Groundwater-related Factorsmentioning

confidence: 99%

“…Conversely, steep slope means more erosion and shorter residence time. In groundwater potential mapping, this is usually related to the low probability of unconsolidated sediment accumulation and recharge [55]. GIS data were analyzed to determine slope variation in the study area and its effect on groundwater potential, as shown in Figure 2b,c.…”

Section: Selection Of Groundwater-related Factorsmentioning

confidence: 99%

Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea

Fadhillah

Lee

et al. 2021

Remote Sensing

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The availability of groundwater is of concern. The demand for groundwater in Korea increased by more than 100% during the period 1994–2014. This problem will increase with population growth. Thus, a reliable groundwater analysis model for regional scale studies is needed. This study used the geographical information system (GIS) data and machine learning to map groundwater potential in Gangneung-si, South Korea. A spatial correlation performed using the frequency ratio was applied to determine the relationships between groundwater productivity (transmissivity data from 285 wells) and various factors. This study used four topography factors, four hydrological factors, and three geological factors, along with the normalized difference wetness index and land use and soil type. Support vector regression (SVR) and metaheuristic optimization algorithms—namely, grey wolf optimization (GWO), and particle swarm optimization (PSO), were used in the construction of the groundwater potential map. Model validation based on the area under the receiver operating curve (AUC) was used to determine model accuracy. The AUC values of groundwater potential maps made using the SVR, SVR_GWO, and SVR_PSO algorithms were 0.803, 0.878, and 0.814, respectively. Thus, the application of optimization algorithms increased model accuracy compared to the standard SVR algorithm. The findings of this study improve our understanding of groundwater potential in a given area and could be useful for policymakers aiming to manage water resources in the future.

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Topography scale effects on groundwater-surface water exchange fluxes in a Canadian Shield setting

Cited by 7 publications

References 57 publications

Integration of 2D Lateral Groundwater Flow into the Variable Infiltration Capacity (VIC) Model and Effects on Simulated Fluxes for Different Grid Resolutions and Aquifer Diffusivities

Integration of 2D Lateral Groundwater Flow into the Variable Infiltration Capacity (VIC) Model and Effects on Simulated Fluxes for Different Grid Resolutions and Aquifer Diffusivities

Upscaling of Surface Water and Groundwater Interactions in Hyporheic Zone from Local to Regional Scale

Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea

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