New best estimates for radionuclide solid–liquid distribution coefficients in soils. Part 2. Naturally occurring radionuclides

Vandenhove, Hildegarde; Gil-García, C.J.; Rigol, Anna; Vidal, Miquel

doi:10.1016/j.jenvrad.2009.03.014

Cited by 76 publications

(53 citation statements)

References 34 publications

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“…The difference of the calculated U concentrations from the measured values lies within a factor of 2 (with the exception of one soil where the factor is 3). Considering the strong dependence of the U distribution in the soil solid/liquid system on various soil parameters [13], this result is remarkable. A previous PHREEQC model was shown to satisfactorily predict caesium contents in the solutions of mineral soils [14].…”

Section: Model Verificationmentioning

confidence: 85%

Estimation of speciation and distribution of long-lived radionuclides in soils after irrigation with contaminated well water

2011

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Abstract. In this study it is shown how the behaviour of radionuclides in agricultural soils can be quantitatively estimated. The sorption of those nuclides onto soil particle surfaces is a key process which every predictive model has to take into account. This has been accomplished by implementing a component additivity (CA-) model into the well known geochemical code PHREEQC that includes the most important sorbents clay, amorphous iron oxide and organic matter. For uranium and cesium it is shown that model calculations are in excellent agreement with experimental data.

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Section: Model Verificationmentioning

confidence: 85%

Estimation of speciation and distribution of long-lived radionuclides in soils after irrigation with contaminated well water

2011

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“…The distribution coefficient describes the sorption processes that control radionuclide interaction in soils, thus affecting subsequent radionuclide transport in the soil Fig. 7 Time-series of simulated and observed groundwater levels in two CGWB wells profile and radionuclide accumulation in surface soils (Vandenhove et al 2009). Vandenhove et al (2009) proposed that sorption is dependent on element and soiltype, and is affected by soil mineralogy (e.g.…”

Section: Estimation Of Radioactivity Release Rates From the Tailings mentioning

confidence: 99%

“…7 Time-series of simulated and observed groundwater levels in two CGWB wells profile and radionuclide accumulation in surface soils (Vandenhove et al 2009). Vandenhove et al (2009) proposed that sorption is dependent on element and soiltype, and is affected by soil mineralogy (e.g. clay content and type, iron oxides and hydroxides), organic-matter content and soil geochemistry (pH, presence of colloids, presence of counter-ions), and by the experimental method used for its quantification.…”

Section: Estimation Of Radioactivity Release Rates From the Tailings mentioning

confidence: 99%

“…Studies of similar hydrogeological units from other locations show a wide variation in distribution coefficient values (Vandenhove et al 2009;Baes et al 1984). In order to estimate conservatively the transport of radionuclides in the area, simulation was carried out by lowering the distribution coefficient values by 25% (that is K d (U-238)=125 l/kg; K d Fig.…”

Section: Sensitivity Analysismentioning

confidence: 99%

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Groundwater flow and radionuclide decay-chain transport modelling around a proposed uranium tailings pond in India

et al. 2012

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Extensive hydrogeological investigations followed by three-dimensional groundwater flow and contaminant transport modelling were carried out around a proposed uranium tailings pond at Seripalli in Andhra Pradesh, India, to estimate its radiological impact. The hydrogeological parameters and measured groundwater level were used to model the groundwater flow and contaminant transport from the uranium tailings pond using a finite-element-based model. The simulated groundwater level compares reasonably with the observed groundwater level. Subsequently, the transport of longlived radionuclides such as 238 U, 234 U, 230 Th and 226 Ra from the proposed tailings pond was modelled. The ingrowths of progenies were also considered in the modelling. It was observed that these radionuclides move very little from the tailings pond, even at the end of 10,000 y, due to their high distribution coefficients and low groundwater velocities. These concentrations were translated into committed effective dose rates at different distances in the vicinity of the uranium tailings pond. The results indicated that the highest effective dose rate to members of the public along the groundwater flow pathway is 2.5 times lower than the drinking water guideline of 0.1mSv/y, even after a long time period of 10,000 y.

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“…Predicting the transfer of radionuclides in the environment for normal release, and accidental, disposal or remediation scenarios in order to assess exposure requires the availability of a number of important generic parameter values. One of the key parameters in environmental assessment is the solid-liquid distribution coefficient, K d , which is used to predict radionuclide-soil interaction and subsequent radionuclide transport in the soil column (Vandenhove et al, 2009). The fate of contaminant transport is often estimated using the distribution (partition) coefficient, K d .…”

Section: Introductionmentioning

confidence: 99%

Estimation of distribution coefficient of radium around a uranium mining site

Maity¹,

Sahu²,

Pandit³

2015

Radioprotection

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-The present study provides an estimation of the site-specific distribution coefficient for radium around a uranium mining site. The soil parameters which affect the K d value of radium were also estimated. For the estimation of the distribution coefficient of radium the equilibration time was optimized. The distribution coefficient of radium was determined using the laboratory batch method. The distribution coefficient of radium varies from 796 ± 9 mL g −1 to 2, 285 ± 52 mL g −1 . K d values of radium were observed to be higher for one-meter-depth soil samples compared with top soil samples in all the sampling locations. It was found that the K d of radium strongly depends on different soil parameters such as pH, organic matter (OM) and cation exchange capacity (CEC). With increasing soil pH, OM and CEC, the K d of radium increases linearly.

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New best estimates for radionuclide solid–liquid distribution coefficients in soils. Part 2. Naturally occurring radionuclides

Cited by 76 publications

References 34 publications

Estimation of speciation and distribution of long-lived radionuclides in soils after irrigation with contaminated well water

Estimation of speciation and distribution of long-lived radionuclides in soils after irrigation with contaminated well water

Groundwater flow and radionuclide decay-chain transport modelling around a proposed uranium tailings pond in India

Estimation of distribution coefficient of radium around a uranium mining site

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