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长沙市气象因素对大气污染的影响分析
引用本文:谢昆,陈博明.长沙市气象因素对大气污染的影响分析[J].矿冶工程,2021,41(4):170-175.
作者姓名:谢昆  陈博明
作者单位:长沙环境保护职业技术学院,湖南 长沙410004;湖南省生态环境事务中心,湖南 长沙410007
摘    要:基于湖南省长沙市2016~2019年逐日大气污染监测数据,对长沙市过去4年的空气质量进行了时间序列的变化趋势分析。利用长沙市2016~2019年逐日同期气象数据,通过相关性分析和逐步回归分析方法揭示了长沙市气象因素变化对大气污染的影响。研究表明: ① 长沙市空气质量逐年向好,SO2、NO2、CO、PM10的浓度基本保持在二级标准以内,状况优良,PM2.5对大气的污染逐年减轻,但O3对大气的污染逐年加重。② 对O3浓度正面影响的气象因素是平均气温和日照时数,负面影响的气象因素是平均气压、平均风速和平均相对湿度; 对PM2.5浓度正面影响的气象因素是平均气压,显著负面影响的是平均气温、日照时数和平均相对湿度。③ 长沙市O3浓度变化的46%能够由气象因素解释,PM2.5浓度变化的23%可由气象因素解释。

关 键 词:空气质量  气象因素  相关性分析  逐步回归分析  长沙市  大气污染  PM2.5  O3  PM10
收稿时间:2021-03-12

Analysis of Effect of Meteorological Factors on Air Pollution in Changsha
XIE Kun,CHEN Bo-ming.Analysis of Effect of Meteorological Factors on Air Pollution in Changsha[J].Mining and Metallurgical Engineering,2021,41(4):170-175.
Authors:XIE Kun  CHEN Bo-ming
Affiliation:1.Changsha Environmental Protection College, Changsha 410004, Hunan, China; 2.Center for Eco-Environmental Affairs of Hunan Province, Changsha 410007, Hunan, China
Abstract:Based on the air pollution monitoring data of Changsha City in Hunan Province from 2016 to 2019, the air quality in Changsha City in the past four years was analyzed for its variation trend according to the time order. Correlation analysis and stepwise regression analysis were performed to uncover the effect of meteorological factors on air pollution in Changsha city. The results show that: ① the air in Changsha City had been improving in quality year by year, with the concentration of SO2, NO2, CO and PM10 almost kept within the class 2 standard, and the impact brought by PM2.5 increasingly reduced year by year, while pollution brought by O3 gradually increased; ② The average temperature and sunshine duration had the positive effect on O3 concentration, while the average atmospheric pressure, average wind speed and average relative humidity had brought negative impact; As for the PM2.5 concentration, the positive effect had been brought by the average atmospheric pressure, while the negative impact brought by the average temperature, sunshine duration and average relative humidity. ③ 46% of the variations in O3 concentration and 23% of the variations in PM2.5 concentration in the air of Changsha City could be attributed to the meteorological factors.
Keywords:air quality  meteorological factors  correlation analysis  stepwise regression analysis  Changsha City  air pollution  PM2  5  O3  PM10  
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