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

机译:使用来自俄罗斯伊普特河集水区切尔诺贝利沉降物〜(137)Cs的数据进行模型测试

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摘要

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 ~(137)Cs 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 ~(137)Cs 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.
机译:1986年切尔诺贝利事故后十年收集的数据为测试计算机模型对陆地和水生环境污染的可靠性提供了独特的机会。 Iput河情景被BIOMASS(生物圈模拟和评估方法)计划的剂量重建工作组使用。试验区域是事故发生后俄罗斯污染最严重的区域之一,平均污染密度为〜(137)Cs为800,000 Bq m〜(-2),局部污染高达1,500,000 Bq m〜(-2) ,并且在建模练习中必须考虑在测试区域中实施的各种对策。演习过程中遇到的困难包括平均数据以解决测试区域的污染不均,模拟土壤中〜(137)Cs的向下迁移和生物利用度变化,以及对策的有效性进行建模。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,选择参数值和不确定性方面的经验和判断。

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