计算机预测土壤中Cs-137浓度空间分布

П. К. Шалькевич
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引用次数: 1

摘要

土壤中放射性污染物迁移的计算机预测是一个很有前途的科学方向,因为根据放射性核素活动的实验测量来预测辐射情况需要使用数学和计算机方法进行数据处理。与此同时,目前用于土壤放射性污染物扩散预测的专业软件包大多是基于这一过程的一维和二维理想化,而解决生物圈状态综合评价问题则需要污染物空间分布数据。为了获得这些数据,作者开发了一个软件模块,作为SPS (Simulation of Processes in Soil) v2.0软件包的一部分,可以预测放射性核素在自然分散介质中的空间迁移参数。为了评估开发的软件在实际应用中的可能性,用实验数据对预测结果进行了验证。为此,利用Cs-137活性测量数据和土壤特征,预测了布列斯特地区Luninets试验区Cs-137浓度的空间分布。实验测量结果与Cs-137浓度空间分布预测值的比较表明,预测值在实测值的置信区间内。因此,开发的软件可用于解决预测放射性核素迁移领域的实际问题,获得其在模拟区域体积上分布的可靠图像,并全面评估其对环境的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Компьютерное прогнозирование пространственного распределения концентрации Cs-137 в почве
Computer prediction of the migration of radioactive contaminants in soil is a promising scientific direction due to the fact that prediction of the radiation situation on the basis of experimental measurements of radionuclides activity requires the use of mathematical and computer methods of data processing. At the same time, most of the specialized software packages for predicting the spread of radioactive contaminants in soil are based on one- and two-dimensional idealizations of this process, while solving the problem of comprehensive assessment of the biosphere’s state requires the data of the contaminant’s spatial distribution. To obtain such data, the author has developed a software module as a part of SPS (Simulation of Processes in Soil) v2.0 software package, which allows predicting the parameters of the spatial migration of radionuclides in natural dispersed media. To assess the possibility of using the developed software in practice, the prediction results were verified by the experimental data. For this purpose, the spatial distribution of the Cs-137 concentration in the experimental area in the Luninets district of the Brest region was predicted using the measurement data of the Cs-137 activities and the soil characteristics. The comparison of the results obtained on the basis of experimental measurements and the predicted values of the spatial distribution of the Cs-137 concentration showed that the predicted values are within the confidence intervals of the measured values. Consequently, the developed software can be used to solve practical problems in the field of forecasting the migration of radionuclides with obtaining a reliable picture of their distribution over the volume of the modeling area and to comprehensively assess their impact on the environment.
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