Van Thielen S, Turcanu C, Camps J, Keppens R
KU Leuven, CIB, Celestijnenlaan 300, Box 2422, 3001 Leuven, Belgium.
SCK•CEN, Belgian Nuclear Research Centre, Boeretang 200, 2400 Mol, Belgium.
J Environ Radioact. 2015 Apr;142:103-12. doi: 10.1016/j.jenvrad.2014.12.014. Epub 2015 Feb 4.
This paper presents three approaches to find optimized grids for atmospheric dispersion measurements and calculations in emergency planning. This can be useful for deriving optimal positions for mobile monitoring stations, or help to reduce discretization errors and improve recommendations. Indeed, threshold-based recommendations or conclusions may differ strongly on the shape and size of the grid on which atmospheric dispersion measurements or calculations of pollutants are based. Therefore, relatively sparse grids that retain as much information as possible, are required. The grid optimization procedure proposed here is first demonstrated with a simple Gaussian plume model as adopted in atmospheric dispersion calculations, which provides fast calculations. The optimized grids are compared to the Noodplan grid, currently used for emergency planning in Belgium, and to the exact solution. We then demonstrate how it can be used in more realistic dispersion models.
本文介绍了三种为应急规划中的大气扩散测量和计算寻找优化网格的方法。这对于确定移动监测站的最佳位置可能很有用，或者有助于减少离散化误差并改进建议。实际上，基于阈值的建议或结论在污染物大气扩散测量或计算所依据的网格形状和大小方面可能会有很大差异。因此，需要相对稀疏但能保留尽可能多信息的网格。这里提出的网格优化程序首先用大气扩散计算中采用的简单高斯烟羽模型进行演示，该模型计算速度快。将优化后的网格与比利时目前用于应急规划的Noodplan网格以及精确解进行比较。然后，我们展示了它如何应用于更实际的扩散模型。
