The Adsorption Effect Of Forest Belts To PM2.5 In Zhucheng

Atmospheric particulates, specially fine particulate, can enter the human’s lungs which can cause injury to the health and cause urban atmospheric visibility to go down. So the study included the densities, comments and particle size of atmospheric particulates, temporal and spatial variation and the influence became the hot spots of the study of domestic urban atmospheric environment. As an important method to eliminate atmospheric particulate pollutants, Plant is more widely appreciated, green, forest to reduce the amount of atmospheric dust and fly ash amount of the effect is significant. Road forest, riparian forest,mountain forest were taken as research object. By setting up three monitoring points in Zhucheng, the study chosen no-rainy days to monitor the PM2.5 concentration of inside and outside and temperature and relative humidity in summer and winter, the change laws of different forest belt and inside and outside were found. Lastly, the correlation between temperature and relative humidity andPM2.5 were made, the finding will know the effect of that on PM2.5.The results are as follows:In the winter mountain forest, the concentrations of PM2.5 presents "W" pattern changes and in the other forest types, the concentration of PM2.5 falls and then rises. Overall, the concentration of PM2.5 is high in the morning and evening, the lower at noon. This low happens in the winter and summer. In summer, PM2.5 concentrations of the forest road rise,but after the first fall to rise in mountain forests and riparian forests. Different forests have different purification capacity for PM2.5, dense forest is beneficial to the reduction of PM2.5in winter and summer. The trend of the purification rate of PM2.5 is mountain forest> riparian forest> forest road in summer and forest road> riverside Lin> mountain forest in winter.The effects of temperature and relative humidity on the concentration of PM2.5 in the fo-rest were measured, results show that: in summer and winter, the correlation between PM2.5 and temperature and relative humidity of different forest stands were dif-ferent, the total PM2.5 in the air was positively correlated with relative humidity, and the correlation with tempe--rature was different.