2022
DOI: 10.1029/2021wr031630
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Three‐Dimensional Numerical Modeling of Cryo‐Hydrogeological Processes in a River‐Talik System in a Continuous Permafrost Environment

Abstract: In continuous permafrost environments, understanding complex river‐talik system dynamics is fundamental for the sustainable use of talik aquifers as a source of drinking water in remote communities. A conceptual model of a river‐talik system was previously developed based on field investigations in the floodplain of the Kuuguluk River at Salluit, Nunavik (Quebec), Canada, including geophysical surveys and monitoring of hydraulic heads and riverbed temperatures. This conceptual model is here used to develop a 3… Show more

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Cited by 13 publications
(17 citation statements)
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“…Neural network learning, deep learning and machine learning based on big data have been widely applied to solve the problem of highdimensional uncertain GCE (Mo, 2019;El Bilali et al, 2021). For example, explored the low-temperature hydrogeological process of frozen soil environment through three-dimensional numerical simulation (Liu et al, 2022b). Meanwhile, it is a significant trend that big data models were employed to study the groundwater pollution.…”
Section: New Methods Of Groundwater Chemical Evolutionmentioning
confidence: 99%
“…Neural network learning, deep learning and machine learning based on big data have been widely applied to solve the problem of highdimensional uncertain GCE (Mo, 2019;El Bilali et al, 2021). For example, explored the low-temperature hydrogeological process of frozen soil environment through three-dimensional numerical simulation (Liu et al, 2022b). Meanwhile, it is a significant trend that big data models were employed to study the groundwater pollution.…”
Section: New Methods Of Groundwater Chemical Evolutionmentioning
confidence: 99%
“…To quantify the effect of FTE, the numerical simulation code Heatflow (Molson & Frind, 2020) was used to solve the transient groundwater flow, mass transport, and heat transport equations. This software has simulated the terrain-changing thermokarst processes, such as thermokarst pond evolution (Perreault et al, 2021), permafrost mounds (Dagenais et al, 2020), hydrological impacts due to permafrost thaw (Khadhraoui et al, 2021), and river-talik dynamics (Liu et al, 2022) in permafrost zone. The code also takes account of the thermal conductivity, relative permeability, ice-water phase latent heat, sensible heat, heat capacity, unfrozen water content, and parameterized thermal exchange layer, including the heat flux, layer depth, precipitation, and the wet bulb ground surface temperature (Molson & Frind, 2020).…”
Section: Mathematical Model Descriptionmentioning
confidence: 99%
“…Simulation of river aufeis formation has been conducted by Hu and Pollard (1997). More recently, Liu et al (2022) used numerical simulation of groundwater flow, heat, and freeze/thaw dynamics to replicate the aufeis formation at Salluit, Nunavik (Quebec), Canada, based on physical conditions determined from geophysical and physical measurements reported in Liu et al (2021).…”
Section: Introductionmentioning
confidence: 99%