四川环境2026，Vol.45Issue(4)：61-69,9.DOI:10.14034/j.cnki.schj.2026.04.008
2000-2022年成都市(暨彭州市)冬季PM2.5时空聚集变化规律
Spatial-temporal Aggregation Change Pattern of PM2.5 in Chengdu(Including Pengzhou City)During Winter from 2000 to 2022
摘要
Abstract
Based on the high-resolution and high-quality winter PM2.5 dataset for China(ChinaHighPM2.5)from 2000 to 2022,linear trend estimation,the Mann-Kendall mutation test,and spatial autocorrelation analysis were employed in this study to investigate the spatial distribution patterns and clustering characteristics of winter PM2.5 in Chengdu,with the aim of providing a scientific basis for pollution control in Pengzhou.The results indicated the following:In terms of temporal variation,winter PM2.5 mass concentration in Chengdu exhibited an overall trend of first increasing and then decreasing from 2000 to 2022,rising continuously from 2000 to 2013 and declining significantly after 2014.Spatially,the average winter PM2.5 mass concentration during the study period generally displayed a"high in the center,low in the periphery"distribution pattern.As a sub-high-value area,Pengzhou generally followed the citywide trend in winter PM2.5 mass concentration changes but also exhibited a certain degree of divergence.Regarding spatial clustering,winter PM2.5 mass concentration in Chengdu from 2000 to 2022 showed a tendency for similar values to cluster,predominantly characterized by H-H(high-high)clusters in the central region and L-L(low-low)clusters in the peripheral areas,with the overall degree of clustering exhibiting a fluctuating weakening trend.关键词
PM2.5/空间自相关/聚集变化/时空分布特征/成都Key words
PM2.5/spatial autocorrelation/aggregation change/temporal and spatial characteristics/Chengdu分类
资源环境引用本文复制引用
刘若岚,余威,朱瑶,陈柯霏,高梦醒..2000-2022年成都市(暨彭州市)冬季PM2.5时空聚集变化规律[J].四川环境,2026,45(4):61-69,9.基金项目
四川省科技教育联合基金项目(2024NSFSC1983). （2024NSFSC1983）
