欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报

• 综合评述 • 上一篇    下一篇

可吸入颗粒物和细颗粒物基本特征、监测方法及森林调控功能

王华,鲁绍伟**,李少宁,潘青华,张玉平   

  1. (北京市农林科学院林业果树研究所, 北京 100093)
  • 出版日期:2013-03-18 发布日期:2013-03-18

Inhalable particulate matter and fine particulate matter: Their basic characteristics, monitoring methods, and forest regulation functions.

WANG Hua, LU Shao-wei, LI Shao-ning, PAN Qing-hua, ZHANG Yu-ping   

  1. (Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China)
  • Online:2013-03-18 Published:2013-03-18

摘要: 可吸入颗粒物(PM10)和细颗粒物(PM2.5)既是造成空气污染的主要原因之一,也是大部分城市的首要污染物.本文在分析PM10和PM2.5对环境和人类健康影响的基础上,重点综述了PM10和PM2.5组成、来源、质量浓度变化规律及影响因素;介绍了PM10和PM2.5监测网络布局、分析方法的原理和特点;归纳了个体和区域尺度上森林去除PM10和PM2.5的研究方法、速率和影响机制.探讨了目前该领域研究中存在的问题:由于缺乏不同梯度和背景地区大气PM10和PM2.5比较观测研究,未能揭示各类因素对PM10和PM2.5的复合影响;合理布局PM10和PM2.5监测网络、正确选择监测方法,并以手工方法所获数据作为比对和校验,是保证监测数据有效性的基础;有关森林去除PM2.5研究较少,未能在细胞、组织、器官和个体水平上阐明其去除PM10和PM2.5的生理过程和生态学机理.

Abstract: 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.