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利用俄罗斯伊普特河流域切尔诺贝利沉降物中铯 - 137的数据进行模型测试。

Model testing using data on 137Cs from Chernobyl fallout in the Iput River catchment area of Russia.

作者信息

Thiessen K M, Sazykina T G, Apostoaei A I, Balonov M I, Crawford J, Domel R, Fesenko S V, Filistovic V, Galeriu D, Homma T, Kanyár B, Krajewski P, Kryshev A I, Kryshev I I, Nedveckaite T, Ould-Dada Z, Sanzharova N I, Robinson C, Sjöblom K-L

机构信息

SENES Oak Ridge Inc., Center for Risk Analysis, 102 Donner Drive, Oak Ridge, TN 37830, USA.

出版信息

J Environ Radioact. 2005;84(2):225-44. doi: 10.1016/j.jenvrad.2004.10.016. Epub 2005 Jun 28.

Abstract

Data collected for 10 years following the Chernobyl accident in 1986 have provided a unique opportunity to test the reliability of computer models for contamination of terrestrial and aquatic environments. The Iput River scenario was used by the Dose Reconstruction Working Group of the BIOMASS (Biosphere Modelling and Assessment Methods) programme. The test area was one of the most highly contaminated areas in Russia following the accident, with an average contamination density of 137Cs of 800,000 Bq m-2 and localized contamination up to 1,500,000 Bq m-2, and a variety of countermeasures that were implemented in the test area had to be considered in the modelling exercise. Difficulties encountered during the exercise included averaging of data to account for uneven contamination of the test area, simulating the downward migration and changes in bioavailability of 137Cs in soil, and modelling the effectiveness of countermeasures. The accuracy of model predictions is dependent at least in part on the experience and judgment of the participant in interpretation of input information, selection of parameter values, and treatment of uncertainties.

摘要

1986年切尔诺贝利事故后收集的10年数据提供了一个独特的机会,来测试用于陆地和水生环境污染计算机模型的可靠性。国际生物量(生物圈建模与评估方法)计划的剂量重建工作组采用了伊普特河场景。测试区域是事故后俄罗斯污染最严重的地区之一,铯-137的平均污染密度为800,000贝克勒尔/平方米,局部污染高达1,500,000贝克勒尔/平方米,建模过程中必须考虑在测试区域实施的各种应对措施。演练过程中遇到的困难包括对数据进行平均以考虑测试区域污染不均匀的情况、模拟铯-137在土壤中的向下迁移和生物有效性变化,以及对应对措施的有效性进行建模。模型预测的准确性至少部分取决于参与者在解释输入信息、选择参数值和处理不确定性方面的经验和判断。

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