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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。
In order to compare the difference of atmospheric diffusivity when comparing wind fields up and down, the long-term atmospheric dispersion factor of a coastal nuclear power plant in Fujian Province was calculated by CAirDos model and compared with the CEIRA model. The results show that the maximum long-term dispersion The same azimuth appears, which corresponds to the downwind direction of the lowest wind direction (northeast, 23.2%), while the second largest value appears in different directions. Among them, the second largest value of the long-term atmospheric dispersion factor calculated by CAirDos appears in the downwind direction of the low (10 m) wind direction (North East, 10.4%), while the second largest value of the long-term atmospheric dispersion factor calculated by the CEIRA model appears in the high (80 m) Downwind of prevailing wind (North, 16.5%). CAirDos uses single-layer wind speed data, and the upper wind speed is corrected by the wind profile. The wind direction is unchanged, which ensures the high and low wind directions are consistent. However, CEIRA needs to use the wind speed data of the upper and lower floors. Inconsistencies will affect the calculation of long-term atmospheric dispersal factors.