The influence of forest vegetation on PM2.5 and other particulate matter pollution in suburb of Xinyang city

doi:10.14088/j.cnki.issn0439-8114.2019.16.011

Abstract

Abstract: The Xinyang central city-near suburb-far suburbs, where there were obvious differences in forest vegetation coverage were chosen to set up monitoring points to carry out simultaneous location observation of atmospheric particulate matter pollution, and the diurnal and seasonal variation characteristics and influencing factors of mass concentration of four kinds of particulate matter, such as TSP, PM10, PM2.5 and PM1, were compared and analyzed in three monitoring sites. The results showed that the daily variation characteristics of the mass concentration of 4 particles in 3 monitoring points were basically consistent, and the time of peak and lowest value was basically synchronized. Particulate pollution in the morning was more serious than in the afternoon. The pollution of particulate matter in 3 monitoring points was the lightest in summer, the second in autumn and the worst in winter. Forest vegetation had a strong function of reducing particulate matter pollution such as PM2.5, and the concentration of particulate matter in the monitoring point was negatively correlated with the canopy of forest vegetation. In the diurnal and seasonal variations, the concentration of 4 kinds of particulate matter in the Ecological station monitoring site with the highest forest cover was significantly lower than that of other 2 monitoring points; In the same way, the mass concentrations of four kinds of particulate matter in the monitoring sites of Shihe River landscape zone with higher forest vegetation coverage were significantly lower than those in the Ticai square, where there was a lack of greening. The main meteorological factors affecting particulate matter are temperature and air pressure. The mass concentrations of 4 kinds of particulate matter were significantly negatively correlated with daily average temperature, and were significantly positively correlated with daily air pressure PM2.5.

Key words: forest vegetation, PM2.5, atmospheric particulate matter, meteorological factors, Xinyang ci

CLC Number:

S731.2

FENG Wan-fu, QIU Lin, SHAN Yan-xiang, ZHANG Jian-she, LI Yue-feng, ZHOU Ji-liang, LIU Yong. The influence of forest vegetation on PM2.5 and other particulate matter pollution in suburb of Xinyang city[J]. HUBEI AGRICULTURAL SCIENCES, 2019, 58(16): 49-53.

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