2012
DOI: 10.1016/j.jenvrad.2011.10.014
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Numerical modeling of the radionuclide water pathway with HYDRUS and comparison with the IAEA model of SR 44

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Cited by 17 publications
(11 citation statements)
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“…The types of applications are very broad, ranging between agricultural problems evaluating different irrigation schemes, the effects of plants on the soil water balance and groundwater recharge (see Agricultural Applications section below), to many environmental applications simulating the transport of different solutes and particle‐like substances (see Transport of Particle‐Like Substances section) as well as evaluating the effects of land use and environmental changes. While many early applications focused mostly on subsurface flow processes, the relatively general formulation of the transport and reaction terms in the HYDRUS models makes it possible to simulate the fate and transport of many different solutes including nonadsorbing tracers, radionuclides (e.g., Pontedeiro et al, 2010; Matisoff et al, 2011; Merk, 2012; Xie et al, 2013), mineral N species (e.g., Li et al, 2015), pesticides (Pot et al, 2005; Dousset et al, 2007; Köhne et al, 2009b), chlorinated aliphatic hydrocarbons (e.g., Kasaraneni et al, 2014; Ngo et al, 2014), hormones (e.g., Casey et al, 2005; Arnon et al, 2008; Chen et al, 2013), antibiotics (e.g., Wehrhan et al, 2007; Unold et al, 2009; Chu et al, 2013; Engelhardt et al, 2015), explosives and propellants (e.g., Dontsova et al, 2006, 2009; Alavi et al, 2011), as well as many particle‐like substances such as viruses, colloids, bacteria, nanoparticles, and carbon nanotubes (see Transport of Particle‐Like Substances section).…”
Section: Selected Hydrus Applicationsmentioning
confidence: 99%
“…The types of applications are very broad, ranging between agricultural problems evaluating different irrigation schemes, the effects of plants on the soil water balance and groundwater recharge (see Agricultural Applications section below), to many environmental applications simulating the transport of different solutes and particle‐like substances (see Transport of Particle‐Like Substances section) as well as evaluating the effects of land use and environmental changes. While many early applications focused mostly on subsurface flow processes, the relatively general formulation of the transport and reaction terms in the HYDRUS models makes it possible to simulate the fate and transport of many different solutes including nonadsorbing tracers, radionuclides (e.g., Pontedeiro et al, 2010; Matisoff et al, 2011; Merk, 2012; Xie et al, 2013), mineral N species (e.g., Li et al, 2015), pesticides (Pot et al, 2005; Dousset et al, 2007; Köhne et al, 2009b), chlorinated aliphatic hydrocarbons (e.g., Kasaraneni et al, 2014; Ngo et al, 2014), hormones (e.g., Casey et al, 2005; Arnon et al, 2008; Chen et al, 2013), antibiotics (e.g., Wehrhan et al, 2007; Unold et al, 2009; Chu et al, 2013; Engelhardt et al, 2015), explosives and propellants (e.g., Dontsova et al, 2006, 2009; Alavi et al, 2011), as well as many particle‐like substances such as viruses, colloids, bacteria, nanoparticles, and carbon nanotubes (see Transport of Particle‐Like Substances section).…”
Section: Selected Hydrus Applicationsmentioning
confidence: 99%
“…The modeling as well as experimental studies in field scale also discussed earlier on the migration of radionuclide in large vadose zone thickness [35][36][37]. Moreover, the transport behavior of uranium from the tailing pond has extremely affected under various soil types such as sand, silt, clay, sediments and sandstone [19,20,23,24].…”
Section: Introductionmentioning
confidence: 83%
“…The water content (θ w ), pressure head (h) and hydraulic conductivity (K) are highly correlated in the unsaturated case. The hydraulic conductivity in unsaturated porous medium is not only depends on the matrix material but also on the local pressure head [24]. Widely acknowledged empirical relationships were arrived by van Genuchten [41] and described in Eq.…”
Section: Physical System and Governing Equationsmentioning
confidence: 99%
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“…In this model, the retardation properties of the engineered layers and argillaceous sediments are described by the so-called distribution coefficient K d . Such a model has been applied in similar studies, both in Bulgaria (Stoyanov, 2012(Stoyanov, , 2019Kotsev et al, 2018) and elsewhere (e.g., Robinson and Bussod, 2000;Mallants et al, 2001Mallants et al, , 2011Šimůnek et al, 2006;Merk, 2012).…”
Section: Formulation Of the Mass Transport Modelmentioning
confidence: 99%