Sabina chinensis: Blocking Effect on Atmospheric Particulates

doi:10.11924/j.issn.1000-6850.casb16030212

Abstract

Abstract: The paper aims to research the ability of the individual tree to intercept atmospheric particulate matter. The authors analyzed the change rule of atmospheric particulate matter, such as PM_2.5, PM₁₀ and TSP in different heights of the tree crown of Sabina chinensis as well as different seasons, and evaluated the block effect of 3 heights of Sabina chinensis and analyzed 6 soluble ions of PM_2.5 by IC (ion chromatography). The results indicated that: there were similar change rules of atmospheric particulate matter in different heights and all showed the minimum at noon, however, the block effect rate of 3 heights had great disparities and the maximum appeared in the middle part, especially on PM_2.5 and the efficiency could reach 47.6%, then followed by the upper part, and the under part was the lowest; comparing different seasons, spring showed the highest concentration, followed by summer, while autumn showed the lowest concentration, what’s more, the gentlest fluctuation also appeared in autumn; Na and NH₄ were at the highest concentration of soluble ions and Sabina chinensis was effective at blocking F^- and Na, the efficiency was 87.62% and 68.27%, respectively.

CLC Number:

S157

Yan Guoxin,Zhang Dequan,Zou Yuqi,,Liu Jiakai and Zhang Zhenming. Sabina chinensis: Blocking Effect on Atmospheric Particulates[J]. Chinese Agricultural Science Bulletin, 2016, 32(34): 1-6.

References

[1] 陈玮,何兴元,张粤,等.东北地区城市针叶树冬季滞尘效应研究[J].应用生态学报,2003,14(12):2113-2116.
[2] 杜玲,张海林,陈阜.京郊越冬植被叶片滞尘效应研究[J].农业环境科学学报,2011,30(2):249-254.
[3] 黄慧娟.保定常见绿化植物滞尘效应及尘污染对其光合特征的影响[D].地点:河北农业大学,2008:42.
[4] 齐飞艳.道路大气颗粒物的分布特征及绿化带的滞留作用[D].地点:河南农业大学,2009:42.
[5] 王蕾,哈斯,刘连友,等.北京市春季天气状况对针叶树叶面颗粒物附着密度的影响[J].生态学杂志,2006,25(8):998-1002.
[6] 杨洪斌,邹旭东,汪宏宇,等.大气环境中PM_2.5的研究进展与展望[J].气象与环境学报,2012,28(3):77-82.
[7] Jiakai Liu, Lijuan Zhu, Huihui Wang, et al. Dry deposition of particulate matter at an urban forest, wetland and lake surface in Beijing[J].Atmospheric Environment,2016,125:178-187.
[8] David J. Nowak, Daniel E. Crane, Jack C. Stevens. Air pollution removal by urban trees and shrubs in the United States[J].Urban Forestry & Urban Greening,2006,4(3/4):115-123.
[9] Jun Yang. The urban forest in Beijing and its role in air pollution reduction[J].Urban Forestry & Urban Greening,2005,3(2):65-78.
[10] Zitouni Ould-Dada. Dry deposition profile of small particles within a model spruce canopy[J].Science of the Total Environment,2002,286(1/3):83-96.
[11] 蔡燕徽.城市基调树种滞尘效应及其光合特性研究[D].地点:福建农林大学,2010:55.
[12] 么旭阳,胡耀升,刘艳红.北京市8种常见绿化树种滞尘效应[J].西北林学院学报,2014,29(3):92-95.
[13] 吴桂香,吴超.植物滞尘分析及其数学表达模式[J].安全与环境学报,2015(2):272-277.
[14] 朱能文.颗粒物浓度的影响因素及变化规律[J].环境科学动态,2005(2):16-18.
[15] Sun Y. L. Zhuang Zhang W J. Characteristics and Seasonal Variations of PM_2.5, PM₁₀, and TSP Aerosol in Beijing[J].Biomedical and Environmental Sciences,2006,19(6):461-468.
[16] 校建民,王成,吴志萍,等.清华大学校园内不同绿地类型空气PM₁₀浓度变化规律[J].林业科学,2009,45(5):153-156.
[17] 吴志萍,王成,侯晓静,等.6种城市绿地空气PM_2.5浓度变化规律的研究[J].安徽农业大学学报,2008,35(4):494-498.
[18] Ying Wang, Guoshun Zhuang, Aohan Tang. The Ion Chemistry and the Source of PM_2.5 Aerosol in Beijing[C].国际气象学和大气科学协会科学大会,2005:3771-3784.
[19] 刘萌萌.林带对阻滞吸附PM_2.5等颗粒物的影响研究[D].地点:北京林业大学,2014:108.
[20] 杨阿强,孙国清,卢立新,等.基于MODIS资料的中国东部时间序列空气动力学粗糙度和零平面位移高度估算[J].气象科学,2011,31(4):929-932.