Canonical correspondence analysis was conducted on the relationship between average annual runoff and runoff in the non-flood season and the main driving factors at hydrological stations in the Minjiang River Basin, and the results are shown in Figures 4 and 5, and Table 2. The results showed that the runoff-driving factor correlations were 0.874 for axis 1 and 0.596 for axis 2, indicating that the correlation coefficients for axis 1 and axis 2 can fully reflect the relationship between runoff at the hydrological stations and driving factors in the Minjiang River Basin. The correlations between axis 1 and T_SC, T_WSPU, NDVI, N_POPU, A_ICL, and N_RESE were 0.7616, 0.7147, 0.6254, 0.5654, 0.5171, and 0.3962, respectively, indicating that axis 1 mainly reflects the influence of anthropogenic disturbances and vegetation (such as total reservoir capacity, water consumption, and NDVI) on runoff. The correlation coefficient between axis 2 and T_PREC was the highest (0.3489), indicating that axis 2 mainly reflects the impact of precipitation on runoff. Along axis 1 (from left to right), the intensity of anthropogenic disturbance gradually increased and vegetation status changed. Along axis 2 (from bottom to top), precipitation gradually increased. Annual runoff values from 1961 to 2016 were divided into three groups according to the relationship between runoff changes and driving factors. Excluding some abnormal data, the first group contained the runoff data from 1961 to 1979; the second group contained the runoff data from 1980 to 2003, and the third group contained the runoff data from 2004 to 2016. The sampling sites in the first group were mainly distributed in the upper left corner of Figure 4, indicating that annual runoff from 1961 to 1979 was mainly affected by precipitation. The sampling sites in the second group were mainly distributed in the lower-left corner of Figure 4, indicating that annual runoff from 1980 to 2003 was affected by precipitation, anthropogenic disturbance, and vegetation. The sampling sites in the third group were mainly distributed on the right side of Figure 4, indicating that annual runoff from 2004 to 2016 was mainly affected by anthropogenic disturbance and vegetation.