2023
DOI: 10.1016/j.jhydrol.2023.129344
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A Richards’ equation-based model for wave-resolving simulation of variably-saturated beach groundwater flow dynamics

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Cited by 8 publications
(3 citation statements)
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“…The effect of water flow on the riverbed determines the morphodynamics and hydromorphology of riverbeds [6][7][8]. Mathematical modeling of riverbed processes based on self-consistent accounting of water dynamics [1,9] and sediment transport is an effective tool both for the analysis of channel deformations [10][11][12][13][14], and to provide environmental expertise in the design of hydraulic structures, sand extraction and other anthropogenic impacts. The dynamics of suspended sediments is described by the transport equation [10]:…”
Section: Suspended Sediments Mathematical Modelingmentioning
confidence: 99%
“…The effect of water flow on the riverbed determines the morphodynamics and hydromorphology of riverbeds [6][7][8]. Mathematical modeling of riverbed processes based on self-consistent accounting of water dynamics [1,9] and sediment transport is an effective tool both for the analysis of channel deformations [10][11][12][13][14], and to provide environmental expertise in the design of hydraulic structures, sand extraction and other anthropogenic impacts. The dynamics of suspended sediments is described by the transport equation [10]:…”
Section: Suspended Sediments Mathematical Modelingmentioning
confidence: 99%
“…At present, such methods are mainly divided into theoretical infiltration model and approximate infiltration model 3 , 4 . Among them, the theoretical infiltration model is usually based on the assumption of continuous media to propose partial differential equations (such as Richards equation) to describe the infiltration process of water in soil, and solved by integral transformation or other numerical methods 5 8 . The approximate infiltration model is usually based on the principle of water balance and Darcy's law to simplify the calculation process.…”
Section: Introductionmentioning
confidence: 99%
“…Zhao et al applied the Gompertz growth model to predict the output value of forest products; the relative error was only 0.0082%, and the correlation coefficient reached 0.9992 [34]. The Richards model has been widely used in various fields of forest growth, and it has the advantages of an accurate description of the growth process and the strongest applicability [35]. For example, by taking stand age, site index and stand density index as independent variables, Jiang et al studied the whole stand model of a Chinese fir plantation with variable density based on the Richards model, achieving a high accuracy of 82.48% [36].…”
Section: Introductionmentioning
confidence: 99%