北辰区2013~2019年环境空气质量特征分析
Characteristics of Ambient Air Quality in Beichen District from 2013 to 2019
摘要: 利用北辰区2013~2019年环境空气质量监测数据,分析了北辰区环境空气质量特征。结果表明,北辰区除O3浓度呈现上升趋势外,PM2.5、PM10、NO2、CO、SO2浓度均呈现下降趋势,PM2.5浓度从2013年的100 μg/m3降至2019年的53 μg/m3,O3浓度从149 μg/m3升高至211 μg/m3。达标天数从122天增加到210天,综合指数从9.41降至5.69,PM2.5对综合指数的贡献率最高,其次为O3,即PM2.5依旧是环境空气中最主要的污染物,O3污染问题日益突出。PM2.5、NO2、CO、SO2四项污染物浓度季节分布均表现为冬季 > 秋季 > 春季 > 夏季,PM10表现为冬季 > 春季 > 秋季 > 夏季,O3表现为夏季 > 春季 > 秋季 > 冬季。
Abstract: The characteristics of ambient air quality in Beichen District were analyzed by using the monitoring data of ambient air quality from 2013 to 2019. The results showed that PM2.5, PM10, NO2, CO, SO2 concentrations showed downward trends, except the O3 concentration showed a rising trend. The concentration of PM2.5 decreased from 100 μg/m3 in 2013 to 53 μg/m3 in 2019, while the con-centration of O3 increased from 149 μg/m3 to 211 μg/m3. The number of days reaching the target increased from 122 to 210, and the pollution integrated index decreased from 9.41 to 5.69. PM2.5 had the highest contribution rate to the pollution integrated index, followed by O3, that the PM2.5 was still the most important pollutant in the ambient air, and O3 pollution was becoming more and more serious. The seasonal distributions of PM2.5, NO2, CO, SO2 concentration were winter > autumn > spring > summer, PM10 seasonal distribution was winter > spring > autumn > summer, while O3 seasonal distribution was summer > spring > autumn > winter.
文章引用:李鹏, 刘彬, 毕温凯, 郑乃源, 邓小文. 北辰区2013~2019年环境空气质量特征分析[J]. 环境保护前沿, 2020, 10(6): 863-868. https://doi.org/10.12677/AEP.2020.106104

参考文献

[1] 王文兴, 柴发合, 任阵海, 等. 新中国成立70年来我国大气污染防治历程、成就与经验[J]. 环境科学研究, 2019, 32(10): 1621-1635.
[2] 李立伟, 肖致美, 陈魁, 等. 京津冀区域PM2.5中碳组分污染特征研究[J]. 环境科学学报, 2018, 38(4): 1306-1316.
[3] 李丹, 刘彬, 孔君, 等. 天津市一次重污染天气过程污染特征分析[J]. 环境保护前沿, 2018, 8(2): 160-167.
[4] 徐虹, 肖致美, 孔君, 等. 天津市冬季典型大气重污染过程特征[J]. 中国环境科学, 2017, 37(4): 1239-1246.
[5] 孙韧, 肖致美, 陈魁, 等. 京津冀重污染大气污染物输送路径分析[J]. 环境科学与技术, 2017, 40(12): 159-164.
[6] 耿冠楠, 肖清扬, 郑逸璇, 等. 实施《大气污染防治行动计划》对中国东部地区PM2.5化学成分的影响[J]. 中国科学: 地球科学, 2020, 50(4): 469-482.
[7] Geng, C., Wang, J., Yin, B., et al. (2020) Vertical Distribution of Volatile Organic Compounds Conducted by Tethered Balloon in the Beijing-Tianjin-Hebei Region of China. Journal of Environmental Sciences, 95, 121-129. [Google Scholar] [CrossRef] [PubMed]
[8] Cao, B. and Yin, Z. (2020) Future Atmospheric Circulations Benefit Ozone Pollution Control in Beijing-Tianjin-Hebei with Global Warming. Science of the Total Environment, 743, Article ID: 140645. [Google Scholar] [CrossRef] [PubMed]
[9] Guo, Y., Tong, S., Zhang, Y., et al. (2010) The Relationship between Particulate Air Pollution and Emergency Hospital Visits for Hypertension in Beijing, China. Science of the Total Environment, 408, 4446-4450. [Google Scholar] [CrossRef] [PubMed]
[10] Tang, X., Chen, X. and Tian, Y. (2017) Chemical Composition and Source Apportionment of PM2.5: A Case Study from One Year Continuous Sampling in the Chang-Zhu-Tan Urban Agglomeration. Atmospheric Pollution Research, 8, 885-899. [Google Scholar] [CrossRef
[11] 国家统计局天津调查总队. 天津统计年鉴2019 [M]. 北京: 中国统计出版社, 2019.