2000-2020年我国PM2.5时空特征及其影响因素OA北大核心
Spatio-Temporal Characteristics and Influencing Factors of PM2.5 in China from 2000 to 2020
基于 2000-2020 年我国PM2.5面板数据,综合运用核密度估计、空间相关性分析和空间杜宾模型,系统分析了我国PM2.5污染的时空特征及其影响因素.结果表明:我国PM2.5污染在年际上呈倒U型演化特征,在季度和月度上呈正U型演化特征,在空间上具有显著的空间聚集和空间依赖性;此外,人均GDP、第二产业占比、人口规模和平均温度对我国PM2.5污染显著影响,自然条件影响因素对PM2.5质量浓度具有显著空间溢出效应.
Based on the PM2.5 panel data from 2000 to 2020 in China,this study comprehen-sively applies kernel density estimation,spatial correlation analysis,and the spatial Durbin model to systematically analyze the spatio-temporal characteristics and influencing factors of PM2.5 pollution in China.The findings indicate that:the inter-annual evolution of PM2.5 pollution in China follows an inverted U-shaped pattern,while the quarterly and monthly evolutions follow a U-shaped pat-tern;spatially,PM2.5 pollution exhibits significant spatial clustering and spatial dependence.Addi-tionally,per capita GDP,the proportion of the secondary industry,population size,and average temperature significantly influence PM2.5 pollution in China.Factors related to natural condition have a significant spatial spillover effect on PM2.5 concentration levels.
谢珍;陈志勇
福建师范大学数学与统计学院,福建 福州 350117福建师范大学数学与统计学院,福建 福州 350117
环境科学
PM2.5质量浓度影响因素空间杜宾模型空间聚集空间溢出效应
PM2.5 concentrationinfluencing factorsspatial Durbin modelspatial cluste-ringspatial spillover effects
《福建师范大学学报（自然科学版）》 2025 (2)
16-23,8
国家社会科学基金一般项目(24BTJ067)
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