地理学报 ›› 2015, Vol. 70 ›› Issue (1): 110-120.doi: 10.11821/dlxb201501009

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2013年北京市PM2.5的时空分布

王占山1(), 李云婷1, 陈添2, 张大伟1(), 孙峰1, 潘丽波3   

  1. 1. 北京市环境保护监测中心,北京 100048
    2. 北京市环境保护局,北京 100044
    3. 中国环境科学研究院环境基准与风险评估国家重点实验室,北京 100012
  • 收稿日期:2014-08-20 修回日期:2014-10-15 出版日期:2015-01-20 发布日期:2015-06-17
  • 作者简介:

    作者简介:王占山(1987-), 山东潍坊人, 硕士, 工程师,主要从事大气环境模拟与空气质量预报预警研究。E-mail: 18701650609@163.com

  • 基金资助:
    北京市科技计划课题(Z131100006113009);环保公益性行业科研专项(201409005);国家科技支撑计划课题 (2014BAC23B03)

Spatial-temporal characteristics of PM2.5 in Beijing in 2013

Zhanshan WANG1(), Yunting LI1, Tian CHEN2, Dawei ZHANG1(), Feng SUN1, Libo PAN3   

  1. 1. Beijing Municipal Environmental Monitoring Center, Beijing 100048, China
    2. Beijing Municipal Environmental Protection Bureau, Beijing 100044, China
    3. State Key Lab of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • Received:2014-08-20 Revised:2014-10-15 Online:2015-01-20 Published:2015-06-17
  • Supported by:
    The Science and Technology Commission of the Beijing Municipality Fund Project, No.Z131100006113009;The Commonwealth Project of the Ministry of Environmental Protection, No.201409005;The National Key Technology R&D Program, No.2014BAC23B03

摘要:

对2013年北京市35个自动空气质量监测子站的PM2.5数据进行分析,探讨PM2.5的时间分布特征、空间分布特征以及与前体物和大气氧化性的相关性关系。结果表明,PM2.5浓度由高到低的季节依次是冬季、春季、秋季和夏季,平均浓度分别为122.8 μg·m-3、85.1 μg·m-3、84.9 μg·m-3和79.1 μg·m-3;各类监测站中浓度由高到低的依次是交通站、城区站、郊区站和区域站,平均浓度分别为102.2 μg·m-3、91.8 μg·m-3、89.1 μg·m-3和88.7 μg·m-3。PM2.5月均浓度呈波浪型分布,在1月份、3月份、6月份和10月份各出现一个峰值。全年来看,交通站PM2.5的日变化规律呈单峰型分布,其他站点呈双峰型分布。分地区来看,年均PM2.5浓度由高到低的依次是东南部、西南部、城六区、东北部和西北部。PM2.5浓度与NO2、SO2和OX浓度均为显著正相关,表明前体物和大气氧化性对PM2.5浓度有显著影响。

关键词: 北京, PM2.5, 时间分布, 空间分布, 前体物, 大气氧化性

Abstract:

Data of PM2.5 from 35 automatic air quality monitoring stations of Beijing in 2013 were analyzed to examine the temporal and spatial characteristics of PM2.5 and the correlation between PM2.5 and its precursors and atmospheric oxidation. The results showed that the average concentrations of PM2.5 in different seasons decreased in the order of winter, spring, autumn and summer, which were 122.8 μg·m-3, 85.1 μg·m-3, 84.9 μg·m-3 and 79.1 μg·m-3, respectively. The average concentrations of PM2.5 at different stations decreased in the order of traffic station, urban station, suburban station and regional station, which were 102.2 μg·m-3, 91.8 μg·m-3, 89.1 μg·m-3 and 88.7 μg·m-3, respectively. Monthly average concentrations of PM2.5 showed a wavy-shaped curve, the peaks of which appeared in January, March, June and October, respectively. For the whole year, diurnal variation of PM2.5 at traffic station showed a single-peak curve, while other stations showed bimodal curves. Annual average concentrations of PM2.5 in different regions decreased in the order of southeast, southwest, center (six districts), northeast and northwest. Concentrations of PM2.5 were significantly positively correlated with those of NO2, SO2 and OX, which indicated that precursors and atmospheric oxidation had a significant impact on the concentration of PM2.5.

Key words: Beijing, PM2.5, temporal characteristics, spatial characteristics, precursors, atmospheric oxidation