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• 研究报告 • 上一篇    下一篇

林带内PM10、PM2.5污染特征及其与气象条件的关系

刘旭辉,余新晓**,张振明,刘萌萌,阮氏青草   

  1. (北京林业大学, 北京 100083)
  • 出版日期:2014-07-10 发布日期:2014-07-10

Pollution characteristics of atmospheric particulates in forest belts and their relationship with meteorological conditions.

LIU Xu-hui, YU Xin-xiao, ZHANG Zhen-ming, LIU Meng-meng, RUANSHI Qing-cao   

  1. (School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China)
  • Online:2014-07-10 Published:2014-07-10

摘要:

为了研究林带对颗粒物的阻滞作用,2013年5月在北京市北五环南侧奥林匹克森林公园南园生态廊道附近观测不同林带内PM10与PM2.5的浓度变化以及气象因素,分析林带内外的PM10和PM2.5的浓度变化特征,以及气温、相对湿度对其影响。结果表明:PM10与PM2.5的变化规律基本一致,7:00左右最高,17:00左右出现最低值;林带对PM10的阻滞作用明显;林带对PM2.5的阻滞作用比较复杂,榆树林带和混交林带内PM2.5浓度降低,但杨树林带情况完全相反,林带内PM10和PM2.5的浓度随气象因素变化而变化,二者与气温呈负相关,气温升高,大气垂直对流作用加剧,有利于颗粒物扩散,PM10和PM2.5浓度降低;PM10和PM2.5的浓度与相对湿度呈正相关。
 

关键词: 钻石概念模型, 水生态区划, 生态区划, 生态功能区划, 水生态功能区划, 双关系树框架

Abstract:

In order to understand the blocking effects of forest belts on particulates, the concentrations of particulate matters (PM10 and PM2.5) in different forest belts near the ecological corridor in southern Beijing Olympic Forest Park adjacent to the southern side of North Fifth Ring Road were observed in May 2013, and major meteorological data such as temperature and relative humidity were collected simultaneously. Results showed that the change pattern of PM10 was consistent with that of PM2.5, being highest in the morning (7:00 am) and lowest at about 17:00 pm. The forest belts could reduce the concentration of PM10, but the blocking effect was complicated for the PM2.5. The PM2.5 concentrations decreased in the elm forest belt and mixed forest belt, but the situation was opposite for poplar forest belt. Particle concentrations in the forest changed with the meteorological factors. PM10 and PM2.5 concentrations were negatively correlated with temperature. Increased temperature intensified the atmospheric vertical convection, being conducive to the particle diffusion and thus decreasing the particle concentration. Concentrations of PM10 and PM2.5 had positive relationships with the relative humidity.
 

Key words: the dual tree framework, aquatic ecological function regionalization, ecological regionalization, aquatic ecological regionalization, diamond conceptual model, ecological function regionalization