一种改进的放射性气体扩散高斯预估模型算法*

通过对放射性气体扩散的特征描述,针对高斯预估模型存在的缺点,引入了动态变化的泄漏强度,并通过夹角系数的方式将风速和放射性气体自身的扩散速度合成,得到对气体扩散起到关键作用的合成扩散速度,进而更好地模拟了放射性气体扩散过程中在不同时段、不同区域、不同气流状态下的气体浓度。最后通过实验仿真模拟,表明该算法在一定条件下能够有效地计算出放射性气体泄漏后的不同时间点和不同气流状态下的扩散浓度空间分布,能够较好地模拟放射性气体扩散的动态变换过程,对放射性气体泄漏事故现场的预测和评估具有很好的辅助决策作用。

Improved Gaussian estimate model algorithm for radioactive gas diffusion

By analyzing the characteristics of radioactive gas diffusion based on Gaussian model’s limitation,this paper introduced the dynamic rate of leakage,and synthesized the wind speed and diffusion velocity of radioactive gas using angle’s approach.This synthetic velocity played a key role in radioactive gas diffusion.Then according to the improved Gaussian estimate model algorithm,it was better simulation of the radioactive gas concentrations in the diffusion process at different times,in different regions and in different state of airflow.Finally,it used the test simulation to illustrate that the model is effective for prediction and evaluation of radioactive gas diffusion,and suitable for decision-making and emergency-responding to accidental radioactive gas releases.