PM2.5 Concentration Differences between Various Forest Types and Its Correlation with Forest Structure

Atmosphere

Xuhui Liu²  Xinxiao Yu²  Zhenming Zhang¹ 

[1] College of Nature Conservation, Beijing Forestry University, Beijing 100083, China; E-Mail:;College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; E-Mail:

关键词: concentration difference;    correlation;    forest structure;    PM_2.5;   

DOI  :  10.3390/atmos6111801

来源: mdpi

【 摘 要 】

The Plain Forestation Project is an important measure designed to alleviate air pollution in Beijing, the capital of China. Ten commonly cultivated forest types of the Plain Forestation Project were studied at three growth stages of leaves. The particulate matter (PM)_2.5 concentrations and forest structures were surveyed to analyze the PM_2.5 concentration differences between different forest types, and establish a linear relationship between forest structures and PM_2.5 concentration differences. The results suggested that forest ecosystems can block and capture PM_2.5 from the air. Forests with luxuriant foliage are most effective in removing PM_2.5 from the air. The average PM_2.5 mass concentration in the Leaf-on Period (LOP) was the lowest when compared with other periods. The PM_2.5 concentrations in the forest usually were higher than the control. Correspondingly, PM_2.5 concentration indexes were negative values during daytime, but this results were reversed at night. Forests can reduce the diffusion rate of PM_2.5 leading to PM_2.5 were detained in the forest during daytime, and play an important role in the adsorption or deposition of particulate matter at night. Forest structure was primary reason of the PM_2.5 concentration difference between different forests. The PM_2.5 concentration index was positively correlated to canopy density, leaf area index (LAI), and mean diameter at breast height (DBH), and negatively correlated to the average tree height (height), forestland area, grass coverage and height.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.