Estimation of Radioactivity Release Activity Using Non-Linear Kalman Filter-Based Estimation Techniques
Estimation of Radioactivity Release Activity Using Non-Linear Kalman Filter-Based Estimation Techniques
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DOI：
10.3390/en13153985
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发表时间：
2020-08
期刊：
影响因子：
3.2
通讯作者：
V. Becerra;Vineet Vajpayee;N. Bausch;T. V. Santhosh;G. Vinod;Jiamei Deng
中科院分区：
文献类型：
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作者：
V. Becerra;Vineet Vajpayee;N. Bausch;T. V. Santhosh;G. Vinod;Jiamei Deng
由于核电站事故对周围人口和环境的短期和长期影响，对核电站事故后放射性释放的估计至关重要。在任何意外泄漏的情况下，需要快速可靠地估计活动，以有效地规划快速应急响应并设计适当的疏散策略。在正常或事故情况下的剂量率的准确预测是另一个重要方面。在这篇文章中，三种不同的非线性估计技术，扩展卡尔曼滤波器，无味卡尔曼滤波器，和容积卡尔曼滤波器，以估计释放活动和提高剂量率的预测。放射性核素释放率，平均风速和释放的高度估计使用在释放点附近收集的剂量率监测数据。此外，估计用于改善剂量率的预测。采用高斯烟羽模型模拟了放射性释放的大气弥散现象。然后采用高斯烟羽模型计算剂量率。各种大气和事故相关的情况下，单源和多个源进行了研究，以评估拟议的过滤器的功效。统计措施已被用来验证所提出的方法的性能。
The estimation of radioactivity release following an accident in a nuclear power plant is crucial due to its short and long-term impacts on the surrounding population and the environment. In the case of any accidental release, the activity needs to be estimated quickly and reliably to effectively plan a rapid emergency response and design an appropriate evacuation strategy. The accurate prediction of incurred dose rate during normal or accident scenario is another important aspect. In this article, three different non-linear estimation techniques, extended Kalman filter, unscented Kalman filter, and cubature Kalman filter are proposed in order to estimate release activity and to improve the prediction of dose rates. Radionuclide release rate, average wind speed, and height of release are estimated using the dose rate monitors data collected in proximity of the release point. Further, the estimates are employed to improve the prediction of dose rates. The atmospheric dispersion phenomenon of radioactivity release is modelled using the Gaussian plume model. The Gaussian plume model is then employed for the calculation of dose rates. A variety of atmospheric and accident related scenarios for single source and multiple sources are studied in order to assess the efficacy of the proposed filters. Statistical measures have been used in order to validate the performance of the proposed approaches.