摘要
用统计学和HYSPLIT模型对2016—2020年武汉市大气中主要污染物的季节变化特征及相关性进行分析研究。结果表明,2016—2020年武汉市大气中NO_(2)、PM_(10)、PM_(2.5)、SO_(2)浓度整体呈现下降趋势,但CO和O3的浓度先降低后上升。PM_(2.5)与SO_(2)、NO_(2)和CO之间相关性系数从大到小顺序依次为CO>NO_(2)>SO_(2)。其中,O_(3)与温度,NO_(2)与风速,SO_(2)与相对湿度,PM_(2.5)与温度有着明显的相关性。大气污染的季节变化特征为夏季>春秋季>冬季。温度是影响大气污染物浓度变化的最关键因子。
The seasonal variation characteristics and correlation of main atmospheric pollutants in Wuhan City from 2016 to 2020 were analyzed by using statistics and HYSPLIT model.The results show that the atmospheric concentrations of NO_(2),PM_(10),PM_(2.5)and SO_(2)in Wuhan show a decreasing trend from 2016 to 2020,but the concentrations of CO and O_(3)decrease first and then increase.The correlation coefficients between PM_(2.5)and SO_(2),NO_(2)and CO are CO>NO_(2)>SO_(2)in descending order.Among them,O3 has obvious correlation with temperature,NO_(2)with wind speed,SO_(2)with relative humidity,PM2.5 with temperature.The seasonal variation of air pollution was summer>spring and autumn>winter.Temperature is the most critical factor affecting the variation of atmospheric pollutant concentration.
作者
魏楠欣
韩国君
何明珠
杜志恒
Wei Nanxin;Han Guojun;He Mingzhu;Du Zhiheng(College of Resources and Environment,Gansu Agricultural University,Lanzhou 730000,China;Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China)
出处
《国土与自然资源研究》
2023年第5期72-76,共5页
Territory & Natural Resources Study
基金
国家自然科学基金(31960631)。
关键词
大气污染物
污染特征
影响因子
相关性分析
聚类分析
air pollutants
pollution characteristics
influence factor
correlation analysis
clustering analysis