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阜新市大气污染特征及气象因子影响分析
张旭1, 赵胡笳2, 白佳宁1, 张上武3, 舒海燕1, 孙可1
1.辽宁省阜新市阜新市气象局;2.中国气象局沈阳大气环境研究所;3.阜新市生态环境监测中心
摘要:
利用2016—2020年阜新市大气污染物浓度和空气质量指数,分析其空气质量变化特征及其与气象因子相关性。结果表明:2016—2020年阜新市PM2.5和PM10污染日数逐年减少,臭氧污染加剧。与2016年相比2020年重度以上污染比例减少0.3%,优良天数比例下降5.2%。阜新市空气质量在秋季最好,其中夏季首要污染物为臭氧,秋冬季以PM2.5为主。Pearson相关性分析表明,PM2.5与风速呈负相关(-0.055),冬季PM2.5与气压呈负相关,相关系数最大为-0.260;反之,相对湿度在冬季与PM2.5呈显著正相关,相关系数最大为0.553。与PM2.5不同,气温是影响O3浓度的主要气象因子,春季臭氧与温度的相关系数最大为0.635。降雨日污染物浓度随降雨量增大均有不同程度减小,污染物浓度在小雨量级达到最高。风速、气温、气压和相对湿度等关键气象因子及其阈值变化能够为阜新地区环境预报业务应用提供科学参考。
关键词:  大气污染物  空气质量  气象因子  相关性
DOI:
分类号:X51
基金项目:国家自然科学基金项目(42175185)
Analysis of air pollution characteristics and influenceof meteorological factors in Fuxin
Abstract:
Based on the air pollutant concentration and AQI of Fuxin from 2016 to 2020, the variation of air quality and its correlation with meteorological factors were analyzed. The results showed that the number of PM2.5 and PM10 pollution days in Fuxin decreased year by year, and ozone pollution intensified from 2016 to 2020. Compared with 2016, the proportion of heavy pollution in 2020 has decreased by 0.3%, and the proportion of good days has decreased by 5.2%. The AQI of Fuxin is the best in autumn, among which the main pollutant is ozone in summer, and PM2.5 is mainly in autumn and winter. Pearson correlation analysis showed that PM2.5 was negatively correlated with wind speed (-0.055), and that PM2.5 was negatively correlated with air pressure in winter, with the maximum correlation coefficient is -0.260. On the contrary, the RH was significantly positively correlated with PM2.5 in winter; with the maximum correlation coefficient is 0.553. Different from PM2.5, temperature is the main meteorological factor affecting O3, and the correlation coefficient between ozone and temperature in spring is 0.635. The concentration of pollutants decreased with the increase of rainfall, and the concentration of pollutants reached the highest level at light rain level. The key meteorological factors such as wind speed, temperature, air pressure, RH and their threshold variation can provide scientific reference for the application of environmental forecasting in Fuxin.
Key words:  atmospheric pollutants  air quality  meteorological factor  correlation