Wang Hua, Lu Shao-Wei, Li Shao-Ning, Pan Qing-Hua, Zhang Yu-ping
Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Ying Yong Sheng Tai Xue Bao. 2013 Mar;24(3):869-77.
Both inhalable particulate matter (PM10) and fine particulate matter (PM2.5) are not only one of the main causes of air pollution, but also the primary pollutants in most cities. Based on the analysis of the impacts of PM10 and PM2.5 on the environment and human health, this paper summarized the components, sources, and mass concentration variations of PM10 and PM2.5 and related affecting factors, and introduced the network layout of PM10 and PM2.5 monitoring and its principles and features. The research methods on the removal of PM10 and PM2.5 by forests, the removal rates of PM10 and PM2.5 by different forests, and the related affecting mechanisms were summed up at regional and individual scales, and the existed problems in this research field were discussed. Due to the lack of the comparable observation studies on the atmospheric PM10 and PM2.5 along different gradients and in background areas, the joint effects of multiple factors on the PM10 and PM2.5 concentrations are not revealed. It was suggested that to make a rational network layout of PM10 and PM2.5 monitoring, to correctly select proper monitoring methods, and to compare and calibrate the observed results from classical manual methods would be the bases to guarantee the validity of PM10 and PM2.5 monitoring data. At present, there are few reports about the PM2.5 removal by forests, and it's not clear about the physiological processes and ecological mechanisms of PM10 and PM2.5 removal at cell, tissue, organ, and individual level.
可吸入颗粒物(PM10)和细颗粒物(PM2.5)不仅是空气污染的主要成因之一,也是大多数城市的主要污染物。基于对PM10和PM2.5对环境及人类健康影响的分析,本文总结了PM10和PM2.5的成分、来源、质量浓度变化及相关影响因素,介绍了PM10和PM2.5监测的网络布局及其原理和特点。从区域和个体尺度上归纳了森林对PM10和PM2.5的去除研究方法、不同森林对PM10和PM2.5的去除率及其相关影响机制,并探讨了该研究领域存在的问题。由于缺乏不同梯度及背景区域大气PM10和PM2.5的可比观测研究,多种因素对PM10和PM2.5浓度的联合影响尚未揭示。建议合理布局PM10和PM2.5监测网络、正确选择合适的监测方法,并对经典手工方法的观测结果进行比较和校准,这是保证PM10和PM2.5监测数据有效性的基础。目前,关于森林对PM2.5去除的报道较少,在细胞、组织、器官和个体水平上,PM10和PM2.5去除的生理过程和生态机制尚不清楚。