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Bulletin of Botanical Research ›› 2020, Vol. 40 ›› Issue (5): 659-665.doi: 10.7525/j.issn.1673-5102.2020.05.003

• Research Report • Previous Articles    

Relation between Forest Cover Rate and Time Lag of PM2.5

LI San, GUO Jin-Lu, ZHENG Yu   

  1. College of Science, Northeast Forestry University, Harbin 150040
  • Received:2020-03-20 Published:2020-07-10
  • Supported by:
    General Project of Heilongjiang Natural Science Foundation(G2016001)

Abstract: With 170 820 data from 13 cities(districts) in Heilongjiang Province, by using the 2SLS method to take 11 influencing factors such as forest cover as variable, we established three different time periods of static panel and dynamic panel regression models, and discussed the relationship between the lag effect of PM2.5 and the influencing factors such as forest cover rate. The results show that:①the time lag effect of PM2.5 is the influencing factor of the PM2.5 concentration accumulation in the current period, and the promotion effect of the PM2.5 time lag effect on the PM2.5 concentration accumulation was gradually weakened with the passage of time. ②With the gradual weakening of the time lag effect of PM2.5, the forest cover rate and air temperature gradually increased the hindrance of PM2.5 concentration accumulation, PM10 and CO gradually enhanced the promotion effect of PM2.5 accumulation, however, the obstacle effect of wind speed increasing PM2.5 concentration accumulation was gradually weakened. ③While the time lag effect of PM2.5 showed inertia, the effects of forest cover, PM10, CO, air temperature, and the wind speed on PM2.5 also had inertia.

Key words: forest cover, time lag effect of PM2.5, dynamic panel data model, 2SLS method

CLC Number: