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城市森林植被区空气PM_(2.5)质量浓度时空变化

标题: 城市森林植被区空气PM_(2.5)质量浓度时空变化
英文标题: Spatial and Temporal Variation of PM_(2.5) Concentration in Urban Forest Vegetation Region
作者: 李少宁,孔令伟,刘斌,陈波,鲁绍伟
英文作者: LI Shaoning,KONG Lingwei,LIU Bin,CHEN Bo,LU Shaowei,Forestry and Pomology Institute,Beijing Academy of Agriculture and Forestry Science,Northwest of China Railway Science Research Institute,College of Forestry,Agricultural University of Hebei
出版时间: 2016-07-15
机构: 北京市农林科学院林业果树研究所,中铁西北科学研究院有限公司,河北农业大学林学院
关键词: 城市森林,PM_(2.5),植被区,典型天气
英文关键词: urban forests,PM_(2.5),vegetation region,typical weather conditions
刊名: 环境科学与技术
英文刊名: Environmental Science & Technology
ISSN: 1003-6504
期号: 07
卷号: v.39
国内刊号: 42-1245/X
基金: 国家林业局林业公益性行业科研专项:森林对PM2.5等颗粒物的调控功能样带观测(20130430101)
主题: 城市森林植被区空气PM_(2.5)质量浓度时空变化
页码: 171-180
分类号: X513;X173
出版单位: 环境科学与技术
是否SCI: 0
是否EI: 0
是否核心: 0
摘要: 该研究选取北京大兴南海子公园植被区与亦庄非植被区PM_(2.5)数据进行研究,对比分析植被区与非植被区PM_(2.5)质量浓度日变化、月变化和年变化特征,典型天气下的PM_(2.5)质量浓度变化。结果表明:植被区PM_(2.5)质量浓度整体上低于非植被区,二者日变化均呈典型的双峰曲线,白天低,夜间高,最小值出现在下午15:00左右;从不同月份看,PM_(2.5)质量浓度最高值出现在冬季的1月、2月,最低值出现在6月、8月,整体表现为冬季月份明显高于其余月份;气温、降雨和大风均与PM_(2.5)浓度呈负相关,晴天时,温度较高,有利于PM_(2.5)浓度降低;降雨有利于空气颗粒物沉降,有效清除大气PM_(2.5)污染,降低其浓度;大风天气会增加大气环流,有助于颗粒物在大气中扩散,使PM_(2.5)不易滞留,从而导致浓度降低。降雨和大风均能导致PM_(2.5)污染降低,且城市森林植被对于PM_(2.5)有明显降低作用。
英文摘要: This paper studied PM_(2.5)about vegetation region of Nanhaizi Park and nonvegetation area of Yizhuang in Daxing District,Beijng,to analyze diurnal variation,monthly variation,annual variation of PM_(2.5)concentration and its variation on typical weather conditions. The results showed that PM_(2.5)concentration in vegetation was inferior of that in nonvegetation area,both of them presented the same diurnal variation tendency,with PM_(2.5)concentration in daytime higher than in night,and the minimum value appeared at 15:00. In different months,the maximum value of PM_(2.5)concentration appeared in January and February,and minimum value appeared in June and August,showing that PM_(2.5)concentration in winter was higher than the other months as a whole.Temperature,rain and wind were all negatively correlated with PM_(2.5)concentration,high temperature was in favor of PM_(2.5)decreasing;rainfall was in favor of particulate matters settlement,effectively clearing PM_(2.5)pollutant,reducing its concentration;the wind could enhance atmospheric circulation,contributing to PM_(2.5)diffuse which could reduce the PM_(2.5)concentration. Both of rain and wind could decrease PM_(2.5)pollutant,and urban forest had prominent effect on reducing PM_(2.5)concentration.