Study On The Influence Of Different Plant Communities On The Concentration Of Atmospheric Particulate Matter

In my country’s environmental pollution,particulate matter is one of the main sources of air pollution,and plants can absorb air particulate matter,which plays an important role in reducing air particulate matter pollution and can effectively improve air quality.In order to explore the impact of different plant communities on atmospheric particulate pollution,this study took Jinshui District of Zhengzhou City as an example to study the dynamic changes of atmospheric particulate matter concentration in different plant communities in different functional areas of the city and its relationship with environmental factors.From April 2020 to March 2021,we systematically monitored the plant communities(Qiao-Guang-Guan)in the gardens and greening areas(digital parks),residential areas(Zhenghong.Lanbao Bay),and cultural and educational areas(Henan Agricultural University)in Zhengzhou City from April 2020 to March 2021.Grass,arbor-grass,arbor-shrub,shrub-grass,lawn,arbor)in the four seasons of spring,summer,autumn and winter PM2.5 and PM10 concentration,temperature,humidity and wind speed and other meteorological factors,analyze the differences in each functional area The variation law of PM2.5 and PM10 mass concentration of plant communities,and the correlation analysis between meteorological factors and air particulate matter,the main research results are as follows:(1)Under sunny and breeze conditions,the daily variation trends of PM2.5 and PM10 concentrations in all plots are basically the same,showing high in the morning and low in the evening,reaching the lowest value at around 14:00 or 16:00 in the afternoon.The daily change trends of PM2.5 and PM10 concentrations are not the same;in each functional area,the PM2.5 and PM10 concentrations of plant communities with arbor-shrub-grass,arbor-shrub and arbor-grass structures are lower;PM2.5 in sample plots in different functional areas The concentrations of PM10 and PM10 were both high in autumn and winter and low in spring and summer.(2)According to the analysis results of the difference of PM2.5 and PM10 concentrations in various plots in different seasons,it can be concluded that there are significant differences in PM2.5 and PM10 concentrations between different plant community structures.Among them,PM2.5 and PM10 in square plots The difference between the concentration and other plots is the most significant;the concentrations of PM2.5 and PM10 in the plots of Henan Agricultural University are the highest in the square and off-campus road plots,followed by the arbor-grass and shrub-grass plots,and the arbor-shrub-grass and arbor-shrub plots The plots were the lowest;the PM2.5 and PM10 concentrations of all plots in the digital park showed the highest concentrations in lawn and square plots,followed by shrub and arbor-grass plots,and arbor-shrub and arbor-shrub plots were the lowest;Zhenghong and Lanbao Bay each The concentration of PM2.5 and PM10 in the plot was the highest in the square,and the arbor-shrub-grass and arbor-shrub plots were the lowest.Based on the changes in the concentration of particulate matter in several functional areas,it was found that the canopy density is high,there are multiple layers of vegetation and understory coverage The higher the community,the lower the concentration of PM2.5 and PM10.The results also indicate that the green space with a composite community structure has greater dust-retaining capacity for particulate matter than the green space with a single-structure community structure,and the dust-retaining capacity can be enhanced by appropriately increasing the coverage of understory plants and the overall canopy closure.(3)A comparative analysis of the annual average PM2.5 and PM10 retardation rates of different plant communities in each functional area showed that the PM2.5 and PM10 concentrations of different plant communities in each functional area showed great differences.The blocking rate of each plot in the three functional areas on PM2.5 and PM10 is the highest in arbor-shrub and grass,followed by arbor-grass structure and arbor-shrub structure,shrub-grass structure and lawn structure,and most of them are arbor-shrub.The land is larger than the arbor and grass plot;in different seasons,the blocking rate of Henan Agricultural University and Digital Park is high in spring and summer,but low in autumn and winter,while the blocking rate in Zhenghong.Lanbao Bay is the highest in summer and autumn.The blocking rate in spring and winter is low;the comprehensive results show that the arbor-shrub-grass and arbor-shrub plots in the Digital Park,the arbor-shrub-grass and arbor-shrub plots in Zhenghong.Lanbao Bay,and the arbor-shrub and grass plots in Henan Agricultural University The sample plot has a higher blocking rate for PM2.5 and PM10.(4)Temperature and PM2.5 and PM10 concentrations are positively correlated in the four seasons;relative humidity is positively correlated with PM2.5 and PM10 concentrations;wind speed is positively correlated with PM2.5 and PM10 concentrations in summer,and negative for the other three seasons Correlation,and compared with PM10 concentration,PM2.5 has a higher correlation with various meteorological factors.Among them,relative humidity has the most significant correlation with PM2.5 and PM10 concentration,followed by temperature,and finally wind speed,indicating that relative humidity is an important factor affecting the concentration of particulate matter;among the three functional areas,the concentration of PM2.5 and PM10 in the digital park is related to The meteorological factors have the highest correlation.