摘要
为了进一步了解京津冀地区气象要素与空气质量的关系,本文通过相关性分析法研究了京津冀地区2014-2020年不同季节气象要素与空气质量指标之间的相关性差异。结果表明,京津冀地区AQI值南部高、北部低,呈逐年减少趋势,由于冬季化石燃料的燃烧,AQI值最高;春季降水量与O_(3)呈极显著正相关,气温与O_(3)呈极显著极强正相关,风速与PM_(2.5)呈极显著中等相关;夏季,气象要素与空气质量指标的相关性整体较弱;秋季降水量与NO_(2)存在极显著强负相关,气温与O_(3)之间的相关性呈极显著,风速与各项指标相关性均较弱;冬季降水量与O_(3)存在极显著正相关;春季AQI与PM10相关性最强;夏季AQI与O_(3)呈极显著极强正相关;PM_(10)和PM_(2.5)是秋冬季的主要污染物。
To further understand the relationship between meteorological elements and air quality in the Beijing-Tianjin-Hebei region,this paper investigates the differences in correlation between meteorological elements and air quality index(AQI)in different seasons from 2014 to 2020.The results indicate that the AQI values in the southern part of the Beijing-Tianjin-Hebei region are higher than those in the northern part and show a decreasing trend over the years,with the highest values observed in winter due to the combustion of fossil fuels.In spring,precipitation is significantly positively correlated with O_(3),while temperature shows a significantly strong positive correlation with O_(3),and wind speed exhibits a significantly moderate correlation with PM_(2.5).In summer,the overall correlation between meteorological elements and air quality indicators is weak.In autumn,precipitation is strongly negatively correlated with NO_(2),temperature is significantly correlated with O_(3),and wind speed shows weak correlations with various indicators.In winter,precipitation is significantly positively correlated with O_(3).In spring,the AQI is most strongly correlated with PM_(10),while in summer,it shows a significantly strong positive correlation with O_(3).PM_(10) and PM_(2.5) are the main pollutants in autumn and winter.
作者
任文颖
王彪
穆思瑞
REN Wenying;WANG Biao;MU Sirui(Beijing Institute of Water,Beijing 100048,China;Daning Administration of Beijing South-to-North Water Diversion Project,Beijing 102442,China)
出处
《水资源开发与管理》
2024年第8期47-55,共9页
Water Resources Development and Management
关键词
京津冀
气象要素
空气质量
相关分析
分布特征
Beijing-Tianjin-Hebei
meteorological elements
air quality
relevant analysis
distribution characteristics
