Literature DB >> 12113505

Modelling the long-term dynamics of radiocaesium in closed lakes.

A A Bulgakov1, A V Konoplev, J T Smith, J Hilton, R N J Comans, G V Laptev, B F Christyuk.   

Abstract

During the years after the Chernobyl accident the radioceasium activity concentration in most contaminated aquatic ecosystems decreased markedly. Lakes with no permanent inflows and outflows (closed lakes), however, still present a radioecological problem which is expected to continue for some time. In this paper, a mechanistic model for the long-term prediction of radiocaesium behaviour in closed lakes is developed. The model of Prokhorov (Radiokhimiya (Radiochemistry) 11 (1969) 317) was modified to describe the effects of bottom sediment bioturbation, surface runoff from the catchment and suspended solids formation and sedimentation. The model input parameters are the effective diffusion coefficient in bottom sediments, depth of the completely mixed layer, the distribution coefficient in the sediment-water system, the runoff coefficient, sedimentation rate, and deposition density. Values of all these parameters can be independently estimated or measured in a short-term experiment. Given negligible runoff and sedimentation, the dynamics of radiocaesium in lake water is described by a simple equation with only one unknown parameter. This allows us to make long-term predictions on the basis of a series of measurements carried out during the relatively short period. The model was tested against 137Cs activity concentrations measured between 1993 and 1999 in Svyatoe lake in the Bryansk region of Russia. Calculated and measured activity concentrations are in good agreement.

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Year:  2002        PMID: 12113505     DOI: 10.1016/s0265-931x(01)00113-8

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


  2 in total

1.  Risk assessment of radioisotope contamination for aquatic living resources in and around Japan.

Authors:  Hiroshi Okamura; Shiro Ikeda; Takami Morita; Shinto Eguchi
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-29       Impact factor: 11.205

2.  Long-term prediction of [Formula: see text]Cs in Lake Onuma on Mt. Akagi after the Fukushima accident using fractional diffusion model.

Authors:  Eiichi Suetomi; Yuko Hatano; Masakiyo Fujita; Yukiko Okada; Kyuma Suzuki; Shun Watanabe
Journal:  Sci Rep       Date:  2021-10-13       Impact factor: 4.379

  2 in total

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