摘要
为分析江苏省空气质量时空特征,基于江苏省各市2019—2021年空气质量指数(AQI)数据,建立时间序列模型,采用空间自相关等方法进行研究。结果表明:江苏省AQI在空间分布上大致呈现出由东向西递增的趋势,在时间变化上大致呈现出“W”形变化趋势。每年冬季和夏季梅雨期间空气质量较差,且夏冬两季AQI空间自相关性相较于春秋两季更强。
In order to analyze the spatial and temporal characteristics of air quality in Jiangsu Province,based on the air quality index(AQI)data of cities in Jiangsu Province from 2019 to 2021,a time series model was established,and spatial autocorrelation and other methods were used for research.It was found that the AQI in Jiangsu Province shows a trend of increasing from east to west in spatial distribution and a“W”type trend in temporal change.The air quality was poor in winter and during the plum rain in summer,and the spatial autocorrelation of AQI in summer and winter was stronger than that in spring and autumn.
作者
火悦
Huo Yue(School of Statistics and Data Science,Nanjing Audit University,Nanjing,Jiangsu 211815)
出处
《农业灾害研究》
2023年第4期108-110,128,共4页
Journal of Agricultural Catastrophology
关键词
空气质量
时空特征
时间序列
空间自相关分析
Air quality
Spatial and temporal characteristics
Time series
Spatial autocorrelation analysis