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

doi:10.7525/j.issn.1673-5102.2020.05.003

Abstract

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 PM_2.5 and the influencing factors such as forest cover rate. The results show that:①the time lag effect of PM_2.5 is the influencing factor of the PM_2.5 concentration accumulation in the current period, and the promotion effect of the PM_2.5 time lag effect on the PM_2.5 concentration accumulation was gradually weakened with the passage of time. ②With the gradual weakening of the time lag effect of PM_2.5, the forest cover rate and air temperature gradually increased the hindrance of PM_2.5 concentration accumulation, PM₁₀ and CO gradually enhanced the promotion effect of PM_2.5 accumulation, however, the obstacle effect of wind speed increasing PM_2.5 concentration accumulation was gradually weakened. ③While the time lag effect of PM_2.5 showed inertia, the effects of forest cover, PM₁₀, CO, air temperature, and the wind speed on PM_2.5 also had inertia.

Key words: forest cover, time lag effect of PM_2.5, dynamic panel data model, 2SLS method

CLC Number:

S718.51

LI San, GUO Jin-Lu, ZHENG Yu. Relation between Forest Cover Rate and Time Lag of PM_2.5[J]. Bulletin of Botanical Research, 2020, 40(5): 659-665.

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Relation between Forest Cover Rate and Time Lag of PM_2.5

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