研究论文
王占山,张大伟,陈添,李云婷,董欣,孙瑞雯,潘丽波.2013年北京市NO2的时空分布[J].环境科学学报,2015,35(5):1529-1536
2013年北京市NO2的时空分布
- Spatiotemporal characteristics of NO2 in Beijing in 2013
- 基金项目：北京市科技计划课题(No. Z131100006113009);环保公益性行业科研专项(No.201409005); 国家科技支撑计划课题(No. 2014BAC23B03)
- 作者
- 单位
- 王占山
- 北京市环境保护监测中心, 北京 100048
- 张大伟
- 北京市环境保护监测中心, 北京 100048
- 陈添
- 北京市环境保护局, 北京 100044
- 李云婷
- 北京市环境保护监测中心, 北京 100048
- 董欣
- 北京市环境保护监测中心, 北京 100048
- 孙瑞雯
- 北京市环境保护监测中心, 北京 100048
- 潘丽波
- 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
- 摘要：对2013年北京市35个自动空气质量监测子站的NO2数据进行分析,探讨NO2的时间分布特征、空间分布特征以及与PM2.5和大气氧化性的相关性关系.结果表明,NO2浓度由高到低的季节依次是冬季、秋季、春季和夏季,平均浓度分别为66.6、58.3、54.7 μg · m-3和45.8 μg · m-3;NO2浓度由高到低的监测站依次为交通站、城区站、郊区站和区域站,年均浓度分别为78.6、57.9、48.5 μg · m-3和40.3 μg · m-3.NO2月均浓度呈波浪型分布,在1月份、3月份、5月份和10月份各出现一个峰值.整体来看,区域站NO2日变化曲线呈现单峰型分布,其他站点为双峰型分布.2013年NO2浓度呈现"反周末效应",即周末大部分时段NO2浓度高于工作日.分地区来看,年均NO2浓度由高到低的依次是城六区、西南部、东南部、西北部和东北部.各站点NO2浓度与PM2.5和OX浓度均为显著正相关,表明NO2可以通过增加前体物浓度和增强大气氧化性两方面造成PM2.5浓度升高.
- Abstract：NO2 data from 35 automatic air quality monitoring stations in Beijing in 2013 were analyzed to investigate spatiotemporal characteristics of NO2 and also correlation between NO2, PM2.5 and also atmospheric oxidation. The results showed that the average concentration of NO2 is the highest in winter followed by autumn, spring and summer with the average concentration of 66.6, 58.3, 54.7 μg · m-3 and 45.8 μg · m-3, respectively. The average concentration of NO2 is the highest at the traffic station, followed by the urban station, the suburban station and the regional station with the average concentration of 78.6, 57.9, 48.5 μg · m-3 and 40.3 μg · m-3, respectively. Monthly average concentration of NO2 changes in a wave-shape curve with peak values during January, March, May and also October. Generally, diurnal variation of NO2 at the regional station showed unimodal distribution, while other stations showed bimodal distribution. Concentrations of NO2 were higher during weekends most of the time, which indicated anti weekend effect. Annual average concentration of NO2 in different regions show different concentrations at different stations. The highest concentration can be found at the central six districts, while lower concentration at the southwest, southeast, northwest and northeast. Concentrations of NO2 were significantly positively correlated with concentrations of PM2.5 and OX, which indicated that NO2 could be the factor behind increase in PM2.5 concentrations by increasing precursor concentrations and enhancing atmospheric oxidation.
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