为比较风场上下不一致时计算大气弥散因子的差异，使用CAirDos 模式计算福建某沿海核电厂的长期大气弥散因子，并与CEIRA 模式的计算结果进行对比，结果显示两种模式计算出的最大长期弥散因子出现的方位相同，均对应于低层最多风向（东北东，23.2%）的下风向，而次大值出现的方位不同。其中，CAirDos 计算的长期大气弥散因子的次大值出现在低层（10 m）次多风向（北东，10.4%）的下风向；而CEIRA 模式计算的长期大气弥散因子的次大值出现在高层（80 m）主导风向（北，16.5%）的下风向。CAirDos 使用的是单层风速数据，高层风速经风廓线修正得到，风向保持不变，保证了高、低层风向的一致，而CEIRA 需要使用高层及低层两层的风速数据，当高层及低层风向不一致时，将影响长期大气弥散因子的计算结果。
This paper uses the CAirDos model to calculate the long-term air dispersion factor of a coastal nuclear power plant in Fujian Province, and the results are compared with those of the CEIRA model. It is shown that, with the two models, the maximum values are in the same direction, but the sub-maximum values are not. The second maximum value calculated by the CAirdos model corresponds to the downwind in the secondary prevailing wind direction(NE,10.4% ) at the 10 meters height, while that calculated by the CEIRA model corresponds to the downwind in the prevailing wind direction(N,16.5%) at the 80 meters height. One layer wind data are used in the CAirDos model to make sure that the wind direction in the high layer is consistent with that in the lower layer. The wind speed in the high layer is revised by the wind pofile in the low layer, so the wind direction is consistent with that in the low layer. In the CEIRA model, on the other hand, the wind data in the two layers are both used. When the wind directions in the two layers are inconsistent, the results of the long term atmospheric dispersion factor will be affected.
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