Abstract:According to the analysis results of meteorological observation data and synchronous satellite observation data from 2005 to 2017, it is shown that the Taihu Lake cyanobacteria blooms in the daily average temperature range of 0-35 °C, and the high-incidence interval is 15.0-35 °C. The bloom in the interval of 20.0 - 35 °C, the high temperature above 33 °C will produce inhibition. The cyanobacterial bloom mainly occur in the first 6 hours. For the interval of 0.5-3.4 m/s, the proportion is 94.7%. The large-scale cyanobacterial blooms mainly occur in the first 6h, and the average wind speed is 0-2.0 m/s, accounting for 89%. The wind direction mainly affects the movement and spatial distribution of cyanobacterial bloom. Precipitation generally has a negative impact on the occurrence and development of cyanobacterial bloom. Large-area cyanobacteria blooms have precipitation in the first 24 hours, of which 88% are in the form of small rainfall (<10mm), indicating light rain. The moderate disturbances may have a certain promoting effect on large-scale cyanobacteria bloom. Sufficient sunshine may be one of the conditions for cyanobacterial bloom, but it is not a necessary condition. Based on the above analysis, a multivariate regression model of meteorological evaluation was constructed. The correlation coefficient between the actual value and the simulated value was 0.83. It passed the 0.001 significance test and can be used for quantitative meteorological evaluation of cyanobacterial blooms, Therefore, it provides decision-making basis for the government to prevent and control cyanobacteria bloom.