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| 粤东三市PM2.5和PM10质量浓度分布特征 | |
| 引用本文： | 陈丹青,师建中,肖亮洪,梁润雄,王娟.粤东三市PM2.5和PM10质量浓度分布特征[J].中山大学学报(自然科学版),2012,51(4):73-78. |
| 作者姓名： | 陈丹青 师建中 肖亮洪 梁润雄 王娟 |
| 作者单位： | 1. 广东省环境监测中心,广东广州,510308 2. 汕头市环境监测站,广东汕头,515041 3. 潮州市环境监测站,广东潮州,512000 4. 揭阳市环境监测站,广东揭阳,522031 |
| 基金项目： | 环境保护部"区域和行业重大发展战略环境评价"财政专项资助项目 |
| 摘 要： | 采用在线监测方法于2009年7月8日至22日在广东省汕头、潮州、揭阳三市各选择1个有代表性的空气质量监测点同步进行PM2.5和PM10监测。监测结果表明,粤东三市PM2.5和PM10质量浓度低于部分沿海城市;PM10与PM2.5的质量浓度日变化呈双峰分布,分别处在上午(6:00至10:00)以及下午(18:00至22:00)两个时间段;PM10与PM2.5日平均浓度变化呈周期性波动,周期约为3～4 d;对于粤东三市区域,PM2.5/PM10为0.5215,说明PM10中细颗粒物含量大于粗颗粒物含量。 |
| 关 键 词： | PM2.5 PM10 在线监测 分布特征 |
The Distribution and Concentration of PM2.5 and PM10 in Three Cities of Eastern Guangdong |
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| CHEN Danqing , SHI Jianzhong , XIAO Lianghong , LIANG Runxiong , WANG Juan.The Distribution and Concentration of PM2.5 and PM10 in Three Cities of Eastern Guangdong[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2012,51(4):73-78. | |
| Authors: | CHEN Danqing SHI Jianzhong XIAO Lianghong LIANG Runxiong WANG Juan |
| Institution: | 1.Guangdong Province Environmental Monitoring Centre,Guangzhou 510308,China; 2.Shantou Environmental Monitoring Station,Shantou 515041,China; 3.Chaozhou Environmental Monitoring Station,Chaozhou 512000,China; 4.Jieyang Environmental Monitoring Station,Jieyang 522031,China) |
| Abstract: | PM2.5 and PM10 were monitored simultaneously by continuous on-line measurement instruments from July 8 to July 22,2009 in Shantou,Chaozhou,Jieyang of Guangdong Province.The results showed that concentrations of PM2.5 and PM10 in the three cities of eastern Guangdong were lower than some coastal cities.PM10 and PM2.5 exhibited two peaks in a day,which were from 6 to 10 a.m.and from 18 to 22 p.m.,respectively.The daily averaged concentrations of PM10 and PM2.5 fluctuated in a cycle of about 3 or 4 days.The portions of PM2.5 were larger than those of other particles in sizes from 2.5 μm to 10 μm.The ratio of PM2.5 to PM10 was 0.521 5 in the three cities,in which measurements were carried out. |
| Keywords: | PM2 5 PM10 on-line monitoring distribution |
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