This paper proposes a method of reflectivity quality control for CINRAD Doppler weather radar in China on the basis on FCM(fuzzy C-means) algorithm.A statistical analysis was done on the reflectivity data from the radar in Bengbu and Fuyang during June 3 and 5,2009.The results showed that the precipitation and non-precipitation radar reflectivity echoes presented different features in horizontal reflectivity texture(T) and vertical difference of reflectivity(V),which can be clearly identified.The method is able to identify the echo type automatically by using the two feature parameters in FCM.Then,the method is applied to the above data.The Quality control results showed that the appropriate characteristic parameters can be used as the feature vectors in the FCM algorithm to identify the non-precipitation echoes from the precipitation ones and the performance of the quality control can thus be improved.