Abstract: Local pollution events caused by wind convergence occur frequently in Shijiazhuang. It is important to objectively identify the area and intensity of wind convergence zone for forecasting heavy pollution events. In order to study the convergence characteristics of near ground wind in Shijiazhuang its contribution to local pollution, and to provide an objective indicator reference for the prediction and early warning of regional heavy pollution, a method based on the introduction of vector ventilation coefficient in the fixed height for quantitatively calculating intensity coefficient of wind convergence was proposed using the box model. The vector ventilation and convergence intensity coefficients in the Beijing-Tianjin-Hebei Region were calculated using ERA-Interim reanalysis data, and 10 typical pollution processes occurred from September 2016 to March 2019 associated with wind convergence were analyzed. The reasons for the formation of wind convergence and its contribution to pollution were discussed. The results showed that: (1) Affected by the terrain, Shijiazhuang was prone to wind convergence, which could be attributed to the fact that the input ventilation volume in this area was greater than the output ventilation volume, and the Taihang Mountains increased this convergence. (2) The convergence of wind field accumulated water vapor and pollutants, and provided high humidity conditions for the secondary chemical reactions between pollutants. The positive feedback promoted the explosive growth of PM_2.5, and the average increase of ρ(PM_2.5) was 25 μg/m³ per hour during the process. (3) Wind convergence had an obvious contribution to the pollution when the convergence intensity coefficient was above 26 in Shijiazhuang. Under these conditions, the pollution intensity in the convergence area was 1 to 2 levels higher than that in other regions, and ρ(PM_2.5) was 85%-200% higher than the background average. The results also showed that the near ground wind convergence contributed significantly to heavy pollution, and was an important meteorological indicator for the formation of high local pollution and explosive growth of PM_2.5.