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.

nuclear power plant  /  long term atmospheric dispersion factor  /  wind field