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作 者:李少宁[1] 孔令伟 刘斌[3] 陈波[1] 鲁绍伟[1]
机构地区:[1]北京市农林科学院林业果树研究所,北京100093 [2]中铁西北科学研究院有限公司,甘肃兰州730000 [3]河北农业大学林学院,河北保定071000
出 处:《环境科学与技术》2016年第7期164-173,共10页Environmental Science & Technology
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)
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。This paper studied PM2.5about vegetation region of Nanhaizi Park and nonvegetation area of Yizhuang in Daxing District,Beijng,to analyze diurnal variation,monthly variation,annual variation of PM2.5concentration and its variation on typical weather conditions. The results showed that PM2.5concentration in vegetation was inferior of that in nonvegetation area,both of them presented the same diurnal variation tendency,with PM2.5concentration in daytime higher than in night,and the minimum value appeared at 15:00. In different months,the maximum value of PM2.5concentration appeared in January and February,and minimum value appeared in June and August,showing that PM2.5concentration in winter was higher than the other months as a whole.Temperature,rain and wind were all negatively correlated with PM2.5concentration,high temperature was in favor of PM2.5decreasing;rainfall was in favor of particulate matters settlement,effectively clearing PM2.5pollutant,reducing its concentration;the wind could enhance atmospheric circulation,contributing to PM2.5diffuse which could reduce the PM2.5concentration. Both of rain and wind could decrease PM2.5pollutant,and urban forest had prominent effect on reducing PM2.5concentration.
分 类 号:X513[环境科学与工程—环境工程]
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