A new kinematic–dispersive wave van Genuchten (KDW-VG) model for numerical simulation of preferential water flow in soil

Moradzadeh, Mostafa; Boroomand-Nasab, Saeed; Mirfazaelian, Hadi; Alavi, Javad; Jamalian, Ali; Khaledian, Mohammadreza; Ruy, Stéphane

doi:10.1016/j.jhydrol.2019.124480

Cited by 5 publications

(3 citation statements)

References 55 publications

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“…frameworks for linear and non-linear problems using metaheuristic algorithms has been successfully carried out in recent years (Lalehzari et al 2016;Moradzadeh et al 2020).…”

Section: Methodsmentioning

confidence: 99%

Expression of Concern: Application of probability decision system and particle swarm optimization for improving soil moisture content

2021

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Drought is one of the natural disasters having the highest degrees in comparison to the other natural disasters in terms of rate, intensity, incident duration, region expansion, life losses, economic damages, and long-term effects. Hence, the prediction of drought as a meteorological phenomenon should be evaluated to determine the groundwater exploitation strategies in agriculture. The present study aims at investigating the impact of the drought duration and severity on soil moisture supplement for agricultural activities in Baghmalek plain, Khuzestan province, Iran. For this objective, a non-dimensional index of precipitation depth was defined for quantifying the drought characteristics. Furthermore, marginal distribution functions, correlation coefficients and joint functions were incorporated to a probabilistic decision-making framework to predict the variables in different return periods from 2-year to 100-year. Results showed that t copula was the best function for constructing the multivariate distribution in the study area based on the goodness-of-fit tests. Moreover, soil moisture content in the root zone achieved by the predetermined amounts of precipitation could be increased in the seasonal average.

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“…frameworks for linear and non-linear problems using metaheuristic algorithms has been successfully carried out in recent years (Lalehzari et al 2016;Moradzadeh et al 2020).…”

Section: Methodsmentioning

confidence: 99%

Expression of Concern: Application of probability decision system and particle swarm optimization for improving soil moisture content

2021

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“…The values found for the conductance term and water dispersivity are consistent with those found by [25,43] at laboratory scale. In the present study the maximum infiltration rate was equal to 6 mmh −1 -lower than those used by the authors presenting a minimum value of 30.35 mmh −1 .…”

Section: Discussionsupporting

confidence: 88%

Modelling of the Complex Groundwater Level Dynamics during Episodic Rainfall Events of a Surficial Aquifer in Southern Italy

Pastore

Cherubini

Doglioni

et al. 2020

Water

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We analyzed the complex dynamics that are involved the groundwater level variations due to the episodic rainfall supply in the Ionian coastal plain surficial aquifer located in Southern Italy. In this aquifer, as a consequence of the particular hydrogeological framework, both direct and lateral recharge mechanisms coexist. Hence, the dynamics of groundwater level variations are quite complex and strongly non-linear. Our focus was essentially on the short-term behavior of groundwater levels, with a specific analysis on episodic rainfall events. To model these dynamics, due to the presence of the preferential pathways in the infiltration processes, a kinematic dispersion wave model was used. Specifically, a one-dimensional and non-linear particle-based numerical model was developed. It uses ideal particles with constant water volume travel, according to celerity and hydraulic dispersion, to simulate the infiltration rate wave through the vadose zone. The infiltration rate that reaches the water table represents the input function to evaluate the aquifer groundwater level fluctuations. As a consequence of the special lithological and storage capacity characteristics of the surficial layers, groundwater flow conditions change from unconfined to confined. The developed model analyzes the direct groundwater supply under natural conditions, including episodic rainfall, and it has been validated using a high-resolution time series of rainfall data and groundwater level obtained from the monitoring station Terra Montonata.

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“…Soil moisture inside the columns was measured with TDR sensors. The work of [9] also belongs in the first category. They applied a new kinematic-dispersive wave van Genuchten model calibrated and validated with the observations of four different rainfall intensities applied on the surface of a soil column with artificial preferential pathways.…”

Section: Introductionmentioning

confidence: 99%

Application of Leak 2D to Describe Preferential Water Flow in a Soil Containing Artificial Macropores

2023

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Leak 2D is a new two-dimensional dual permeability mathematical model for the simulation of the preferential flow in the vadose zone. In this model, water flow in the soil matrix domain is described by the two-dimensional h-based Richards’ equation. Water flow in the fracture domain is estimated using the kinematic wave approach. Richards’ equation is solved by a combination of the alternating direction implicit (A.D.I.) method and the Douglas and Jones predictor−corrector method. The kinematic wave equation is solved explicitly. In the present paper, Leak 2D is calibrated and validated with data obtained in a Hele–Shaw apparatus filled with sand. Preferential flow is achieved by inserting four artificial macropores of various sizes into the soil. Six irrigations of various intensities and durations were used for the calibration and validation process. The water content at various depths was recorded by five sensors that were inserted into the soil. A comparison of the simulated water content with the measured profiles shows that Leak 2D can sufficiently describe preferential flow into the unsaturated zone of the soil, even under extreme irrigation conditions.

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A new kinematic–dispersive wave van Genuchten (KDW-VG) model for numerical simulation of preferential water flow in soil

Cited by 5 publications

References 55 publications

Expression of Concern: Application of probability decision system and particle swarm optimization for improving soil moisture content

Expression of Concern: Application of probability decision system and particle swarm optimization for improving soil moisture content

Modelling of the Complex Groundwater Level Dynamics during Episodic Rainfall Events of a Surficial Aquifer in Southern Italy

Application of Leak 2D to Describe Preferential Water Flow in a Soil Containing Artificial Macropores

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