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Probabilistic Prognosis of Environmental Radioactivity Concentrations due to Radioisotopes Discharged to Water Bodies from Nuclear Power Plants

机译:核电站水体中排放的放射性同位素引起的环境放射性浓度的概率预后

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摘要

Due to their very low values, the complexity of comparing the contribution of nuclear power plants (NPPs) to environmental radioactivity with modeled values is recognized. In order to compare probabilistic prognosis of radioactivity concentrations with environmental measurement values, an exercise was performed using public data of radioactive routine discharges from three representative Spanish nuclear power plants. Specifically, data on liquid discharges from three Spanish NPPs: Almaraz, Vandellós II, and Ascó to three different aquatic bodies (river, lake, and coast) were used. Results modelled using generic conservative models together with Monte Carlo techniques used for uncertainties propagation were compared with values of radioactivity concentrations in the environment measured in the surroundings of these NPPs. Probability distribution functions were inferred for the source term, used as an input to the model to estimate the radioactivity concentrations in the environment due to discharges to the water bodies. Radioactivity concentrations measured in bottom sediments were used in the exercise due to their accumulation properties. Of all the radioisotopes measured in the environmental monitoring programs around the NPPs, only Cs-137, Sr-90, and Co-60 had positive values greater than their respective detection limits. Of those, Sr-90 and Cs-137 are easily measured in the environment, but significant contribution from the radioactive fall-out due to nuclear explosions in the atmosphere exists, and therefore their values cannot be attributed to the NPPs. On the contrary, Co-60 is especially useful as an indicator of the radioactive discharges from NPPs because its presence in the environment can solely be attributed to the impact of the closer nuclear facilities. All the modelled values for Co-60 showed a reasonable correspondence with measured environmental data in all cases, being conservative in two of them. The more conservative predictions obtained with the models were the activity concentrations in the sediments of a lake (Almaraz) where, on average, values two times higher were obtained. For the case of rivers (Ascó), calculated results were adequately conservative—up to 3.4 times on average. However, the results for coasts (Vandellos II) were in the same range as the environmental measurements, obtaining predictions that are only—at maximum—1.1 times higher than measured values. Only for this specific case of coasts could it be established that the models are not conservative enough, although the results, on average, are relatively close to the real values.
机译:由于它们的值非常低,因此认识到将核电厂(NPP)对环境放射性的贡献与模型值进行比较的复杂性。为了将放射性浓度的概率预后与环境测量值进行比较,使用来自西班牙三个代表性核电厂的放射性常规排放的公共数据进行了演习。具体而言,使用了从三个西班牙核电厂:阿尔马拉兹,范德列斯二世和阿斯科的液体排放到三个不同水生生物(河流,湖泊和海岸)的数据。将使用通用保守模型与用于不确定性传播的蒙特卡洛技术一起建模的结果与这些核电厂周围环境中所测环境中的放射性浓度值进行了比较。推断出源项的概率分布函数,将其用作模型的输入,以估计由于排放到水体而导致的环境中的放射性浓度。演习中使用了底部沉积物中测得的放射性浓度,因为它们具有蓄积特性。在国家淘汰计划周围环境监测计划中测得的所有放射性同位素中,只有Cs-137,Sr-90和Co-60的正值大于各自的检出限。其中,Sr-90和Cs-137在环境中很容易测量,但是由于大气中核爆炸引起的放射性沉降有很大贡献,因此它们的值不能归因于NPP。相反,Co-60尤其可用作指示NPPs放射性排放的指标,因为它在环境中的存在完全可以归因于更靠近的核设施的影响。在所有情况下,Co-60的所有建模值均与测得的环境数据显示出合理的对应关系,其中两种较为保守。通过模型获得的更为保守的预测是湖泊(Almaraz)的沉积物中的活动浓度,平均而言,该值高出两倍。对于河流(Ascó)而言,计算结果足够保守-平均可达3.4倍。但是,海岸(Vandellos II)的结果与环境测量值在同一范围内,所获得的预测最多(最多)仅是测量值的1.1倍。仅对于这种特定的海岸情况,可以确定模型不够保守,尽管平均而言结果相对接近实际值。

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