Comparative analysis of air quality between Beijing and Hohhot
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摘要:
为了对比北京市和呼和浩特市空气质量,探讨其差异性成因及防治对策,收集2市2014—2019年的空气质量常规监测数据,对空气污染物浓度、首要污染物变化及空气质量指数等特征进行分析。结果表明:北京和呼和浩特2市空气中PM10、PM2.5、SO2、NO2、CO这5种污染物浓度表现出相似的季节变化特征,空气质量冬季最差,夏季最好;2市空气中污染物都是以颗粒物为主,其中北京市以PM2.5为主,呼和浩特市以PM10为主;长期监测数据显示,2市在经济社会快速发展的同时,污染物浓度大多呈持续下降的趋势,但O3浓度有所增加。从2市各经济指标和污染物浓度变化的相关性看出,城市高质量发展越来越受到城市空气质量的约束,而改善城市经济结构在空气污染防治中具有极大作用。
Abstract:In order to compare the air quality of Beijing and Hohhot and discuss the different causes and the prevention and control measures of air pollution, the characteristics of air pollutant quality concentration, primary pollutant change and air quality index of the two cities was analyzed based on the regular monitoring data of air quality of the two cities from January 2014 to December 2019 released by Environmental Monitoring Station of China. The results showed that: The pollutants in the atmosphere of Beijing and Hohhot, including PM10, PM2.5, SO2, NO2 and CO, shared similar seasonal variation characteristics. The air quality of both cities was the best in summer and the worst in winter. The chief pollutant contributing to the air quality of the two cities was particulate matter, with PM2.5 in Beijing and PM10 in Hohhot. Long-term monitoring data showed that the concentration of pollutants in the air of the both cities present a continuous downward trend with the rapid development of economy and society, while the concentration of O3 was still increasing. According to the correlation analysis between the economic index and pollutant concentration in the two cities, high-quality urban development is increasingly constrained by air quality, improving urban economic structure plays an important role in preventing and controlling air pollution.
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Key words:
- Beijing /
- Hohhot /
- air quality /
- air quality index /
- economic indicators
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表 1 空气质量级别及相关信息[10]
Table 1. Air quality levels and related information
AQI 空气质量级别 空气质量类别 0~50 一级 优 51~100 二级 良 101~150 三级 轻度污染 151~200 四级 中度污染 201~300 五级 重度污染 >300 六级 严重污染 表 2 2014—2019年北京市空气污染物浓度年均值比较
Table 2. Comparison of annual mean mass concentration in Beijing from 2014 to 2019
mg/m3 年份 PM10 SO2 NO2 PM2.5 CO O3 2014 0.117 0.021 0.055 0.085 1.274 0.099 2015 0.101 0.013 0.049 0.080 1.302 0.099 2016 0.097 0.010 0.048 0.073 1.160 0.096 2017 0.084 0.008 0.046 0.057 1.009 0.099 2018 0.076 0.006 0.041 0.050 0.842 0.100 2019 0.078 0.005 0.037 0.047 0.706 0.104 表 3 2014—2019年呼和浩特市空气污染物浓度年均值比较
Table 3. Comparison of annual mean mass concentration in Hohhot from 2014 to 2019
mg/m3 年份 PM10 SO2 NO2 PM2.5 CO O3 2014 0.116 0.047 0.045 0.044 1.907 0.067 2015 0.104 0.034 0.039 0.043 1.281 0.082 2016 0.094 0.028 0.042 0.040 1.197 0.091 2017 0.094 0.029 0.045 0.043 1.309 0.101 2018 0.078 0.019 0.040 0.032 1.179 0.093 2019 0.084 0.016 0.038 0.038 1.017 0.097 表 4 2014—2019年北京市各经济指标与污染物浓度相关性
Table 4. Correlation between economic indicators and pollutants in Beijing from 2014 to 2019
经济指标 PM10 SO2 NO2 PM2.5 O3 CO 国内生产总值 −0.896* −0.850* −0.973** −0.942** 0.735 −0.974** 常住人口 −0.158 −0.383 −0.087 0.043 −0.667 0.214 机动车保有量 −0.751 −0.686 −0.915* −0.818* 0.802 −0.915* 能源消耗总量 −0.930* −0.822 −0.917* −0.986** 0.338 −0.995** 注:**表示在0.01水平下相关性显著;*表示在0.05水平下相关性显著。 表 5 2014—2019年呼和浩特市各经济指标与污染物浓度相关性
Table 5. Correlation between economic indicators and pollutants in Hohhot from 2014 to 2019
经济指标 PM10 SO2 NO2 PM2.5 O3 CO 国内生产总值 −0.190 −0.276 0.284 0.314 0.714 −0.488 常住人口 −0.946* −0.941* −0.090 −0.683 0.925* −0.781 机动车保有量 −0.941** −0.936** −0.305 −0.700 0.888** −0.771 能源消耗总量 −0.997** −0.987** −0.358 −0.866 0.792 −0.815 注:同表4。 -
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