Literature DB >> 24929506

Uncertainty related to input parameters of (137)Cs soil redistribution model for undisturbed fields.

Andra-Rada Iurian1, Lionel Mabit2, Constantin Cosma3.   

Abstract

This study presents an alternative method to empirically establish the effective diffusion coefficient and the convective velocity of (137)Cs in undisturbed soils. This approach offers the possibility to improve the parameterisation and the accuracy of the (137)Cs Diffusion and Migration Model (DMM) used to assess soil erosion magnitudes. The impact of the different input parameters of this radiometric model on the derived-soil redistribution rates has been determined for a Romanian pastureland located in the northwest extremity of the Transylvanian Plain. By fitting the convection-diffusion equation to the available experimental data, the diffusion coefficient and convection velocity of (137)Cs in soil could be determined; 72% of the (137)Cs soil content could be attributed to the (137)Cs fallout originating from Chernobyl. The medium-term net erosion rate obtained with the calculated input parameters reached -6.6 t ha(-1) yr(-1). The model highlights great sensitivity to parameter estimations and the calculated erosion rates for undisturbed landscapes can be highly impacted if the input parameters are not accurately determined from the experimental data set. Upper and lower bounds should be established based on the determined uncertainty budget for the reliable estimates of the derived redistribution rates.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  (137)Cs; convection–diffusion equation; diffusion and migration model; erosion rate; radionuclide migration; undisturbed soil

Mesh:

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Year:  2014        PMID: 24929506     DOI: 10.1016/j.jenvrad.2014.05.013

Source DB:  PubMed          Journal:  J Environ Radioact        ISSN: 0265-931X            Impact factor:   2.674


  1 in total

1.  137Cs-Based Variation of Soil Erosion in Vertical Zones of a Small Catchment in Southwestern China.

Authors:  Jiacun Chen; Zhonglin Shi; Anbang Wen; Dongchun Yan; Taili Chen
Journal:  Int J Environ Res Public Health       Date:  2019-04-16       Impact factor: 3.390

  1 in total

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