分段烟羽模型和烟团模型在核事故应急中的应用比较

Application of a Gaussian Segmented Plume Model and a Lagrangian Puff Model during the Nuclear Emergency

为了研究分段烟羽模型和烟团模型在核事故应急中的适用性 ,对不同流场条件下分段高斯烟羽模型和烟团模型的模拟结果进行了比较。在均匀稳定流场中 ,两种模型的模拟结果相近 ;而在非均匀稳定的流场中 ,分段烟羽模型的模拟结果呈现明显的不连续性。而且对于瞬时释放 ,烟团模型比分段烟羽模型更接近实际情况。通过对模型性能的对比 ,并考虑应急决策支持的要求和我国核电站的厂址条件 。

Choice of atmospheric dispersion models for nuclear emergency decision making support is discussed. Comparisons are done between puff model and segmented Gaussian plume model for different flow fields. Simulation results of the two models are similar under stationary and homogeneous flow field; while under in stationary or inhomogeneous flow field, concentration distributions obtained by segmented plume model are obviously discontinuous. Moreover, more realistic results are obtained by puff model under in stationary flow field for short release. According to model characteristics, simulation results and operation time of puff model, segmented plume model and Lagrangian particle model, as well as requirements of nuclear emergency and site specific characteristics of Chinese nuclear power plants, puff model is better for nuclear emergency decision making support.