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邢雅婷, 王帅, 赵玲. 呼和浩特市城区大气污染物浓度变化特征分析[J]. 环境化学, 2019, 38(5): 1139-1149. doi: 10.7524/j.issn.0254-6108.2018111102
引用本文: 邢雅婷, 王帅, 赵玲. 呼和浩特市城区大气污染物浓度变化特征分析[J]. 环境化学, 2019, 38(5): 1139-1149. doi: 10.7524/j.issn.0254-6108.2018111102
shu
XING Yating, WANG Shuai, ZHAO Ling. Variation characteristics of atmospheric pollutants in the urban area of Hohhot[J]. Environmental Chemistry, 2019, 38(5): 1139-1149. doi: 10.7524/j.issn.0254-6108.2018111102
Citation: XING Yating, WANG Shuai, ZHAO Ling. Variation characteristics of atmospheric pollutants in the urban area of Hohhot[J]. Environmental Chemistry, 2019, 38(5): 1139-1149. doi: 10.7524/j.issn.0254-6108.2018111102
shu

呼和浩特市城区大气污染物浓度变化特征分析

  • 1.

    内蒙古大学生态与环境学院, 呼和浩特, 010021

  • 基金项目:

    内蒙古大学校级大学生创新创业训练计划项目（201817402），国家自然科学基金（21866022，21567018）和内蒙古自然科学基金（2017MS0214）资助.

Variation characteristics of atmospheric pollutants in the urban area of Hohhot

  • 1.

    School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China

  • Fund Project: Supported by the Inner Mongolia University Training Program of Innovation and Entrepreneurship for Undergraduates (201817402), National Natural Science Foundation of China(21866022, 21567018) and Inner Mongolia Natural Science Foundation(2017MS0214).

  • 摘要: 本文利用呼和浩特市8个国控监测点中CO、NO2、SO2、O3、PM10和PM2.5逐时地面观测数据资料，采用聚类分析、相关性分析等方法，综合研究呼和浩特市城区大气污染物浓度时空变化特征.结果表明，2017年呼市PM10、PM2.5和O3的污染较为严重，超标天数分别为49 d、52 d和41 d；CO和SO2整体污染较轻.CO、NO2、SO2以及PM2.5浓度表现出冬高夏低变化，O3表现出夏高冬低变化，PM10则表现为春冬高而夏秋低.O3和NO2均呈现单峰型日变化特征，且变化趋势相反；CO、SO2和PM2.5都呈现出相似的双峰型日变化.小召和工大金川校区监测点污染整体较为严重，小召监测点主要污染物为PM2.5和PM10，工大金川校区主要污染物为SO2.相关性分析表明，O3浓度与气温呈显著正相关；PM2.5与湿度呈显著正相关；CO、NO2和SO2均与风速呈显著负相关；PM10与各气象要素在不同的季节相关性不同.
    Abstract: Based on the data of CO, NO2, SO2, O3, PM10 and PM2.5, the temporal and spatial variation of atmospheric pollutant concentration was studied in the urban area of Hohhot using cluster analysis and correlation analysis. The results showed that the pollution of PM10, PM2.5 and O3 were much more serious in 2017, and the days of exceeding allowable limit were 49 d, 52 d and 41 d, respectively. Carbon monoxide and sulphur dioxide pollution were generally light. The concentrations of CO, NO2, SO2 and PM2.5 showed lower in winter and higher in summer. O3 corcentration showed lower in summer and higher in winter. PM10 showed higher in spring and winter, and lower in summer and autumn. Both O3 and NO2 showed the single-peak daily change characteristics, and the trend was opposite. CO, SO2 and PM2.5 all showed similar bipolar daily changes. Correlation analysis showed that O3 concentration was positively correlated with temperature. PM2.5 was significantly positive correlation with humidity. CO, NO2 and SO2 all showed significantly negative correlation with wind speed. PM10 had different correlations with various meteorological factors in different seasons.
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  • 收稿日期:  2018-11-11
  • 刊出日期:  2019-05-15
邢雅婷, 王帅, 赵玲. 呼和浩特市城区大气污染物浓度变化特征分析[J]. 环境化学, 2019, 38(5): 1139-1149. doi: 10.7524/j.issn.0254-6108.2018111102
引用本文: 邢雅婷, 王帅, 赵玲. 呼和浩特市城区大气污染物浓度变化特征分析[J]. 环境化学, 2019, 38(5): 1139-1149. doi: 10.7524/j.issn.0254-6108.2018111102
shu
XING Yating, WANG Shuai, ZHAO Ling. Variation characteristics of atmospheric pollutants in the urban area of Hohhot[J]. Environmental Chemistry, 2019, 38(5): 1139-1149. doi: 10.7524/j.issn.0254-6108.2018111102
Citation: XING Yating, WANG Shuai, ZHAO Ling. Variation characteristics of atmospheric pollutants in the urban area of Hohhot[J]. Environmental Chemistry, 2019, 38(5): 1139-1149. doi: 10.7524/j.issn.0254-6108.2018111102
shu

呼和浩特市城区大气污染物浓度变化特征分析

  • 1. 内蒙古大学生态与环境学院, 呼和浩特, 010021
  • 收稿日期:  2018-11-11
基金项目:

内蒙古大学校级大学生创新创业训练计划项目（201817402），国家自然科学基金（21866022，21567018）和内蒙古自然科学基金（2017MS0214）资助.

摘要: 本文利用呼和浩特市8个国控监测点中CO、NO2、SO2、O3、PM10和PM2.5逐时地面观测数据资料，采用聚类分析、相关性分析等方法，综合研究呼和浩特市城区大气污染物浓度时空变化特征.结果表明，2017年呼市PM10、PM2.5和O3的污染较为严重，超标天数分别为49 d、52 d和41 d；CO和SO2整体污染较轻.CO、NO2、SO2以及PM2.5浓度表现出冬高夏低变化，O3表现出夏高冬低变化，PM10则表现为春冬高而夏秋低.O3和NO2均呈现单峰型日变化特征，且变化趋势相反；CO、SO2和PM2.5都呈现出相似的双峰型日变化.小召和工大金川校区监测点污染整体较为严重，小召监测点主要污染物为PM2.5和PM10，工大金川校区主要污染物为SO2.相关性分析表明，O3浓度与气温呈显著正相关；PM2.5与湿度呈显著正相关；CO、NO2和SO2均与风速呈显著负相关；PM10与各气象要素在不同的季节相关性不同.

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