摘要
为提升城市雾霾污染时空分布特征分析的精度,提出基于空间插值的城市雾霾污染时空分布特征分析方法。利用空间插值建立自相关模型,分析空间数据,确定中国城市的空气质量时空分布特性,实现动态特征分析。通过分析表明,在不同区域,城市雾霾污染的分布差异相对较大,污染呈现集中分布的特点,从时间分布特征来分析,雾霾浓度月累计数据呈现U型分布,不同季节的雾霾浓度时空分布存在一定差异。实验结果表明所提方法可有效分析城市雾霾污染时空分布特征,具有一定可行性。
In order to improve the accuracy of spatial and temporal distribution characteristics analysis of Urban Haze pollution,a spatial interpolation based spatial and temporal distribution characteristics analysis method of Urban Haze pollution was proposed.Using spatial interpolation to establish autocorrelation model,the study analyzes spatial data to determine the temporal and spatial distribution characteristics of air quality in Chinese cities and realize dynamic characteristic analysis.The analysis shows that the distribution of urban haze pollution is relatively different in different regions,and the pollution presents the characteristics of centralized distribution.From the characteristics of time distribution,the monthly cumulative data of haze concentration presents a U-shaped distribution,and there are some differences in the temporal and spatial distribution of haze concentration in different seasons.The experimental results show that the proposed method can effectively analyze the temporal and spatial distribution characteristics of Urban Haze pollution,and has certain feasibility.
作者
孙兴雷
公彦庆
Sun Xinglei;Gong Yanqing(Environmental Monitoring Center of Pingyi County, Linyi 273300, China;Pingyi County Administrative Examination and Approval Service Bureau, Linyi 273300, China)
出处
《环境科学与管理》
CAS
2022年第2期56-60,共5页
Environmental Science and Management
关键词
空间插值
城市雾霾
雾霾污染
时空分布
分布特征
spatial interpolation
urban smog
smog pollution
temporal and spatial distribution
distribution characteristics
作者简介
孙兴雷(1975-),男,大学本科,高级工程师,研究方向:大气环境污染综合防治的技术措施和管理措施。
