生态与农村环境学报2023，Vol.39Issue(12)：1559-1567,9.DOI:10.19741/j.issn.1673-4831.2022.1357
2001-2020年湖北省PM2.5时空分布特征及气象驱动因子分析
Analysis of Spatial and Temporal Distribution and Meteorological Driving Factors of PM25 in Hubei Province from 2001 to 2020
摘要
Abstract
Grasping the spatial and temporal evolution of PM25 pollution is the basis and prerequisite for its targeted man-agement.The annual average PM25 concentration data of each prefecture-level city in Hubei Province from 2001-2020 were extracted from the raster data of PM25 earth surface concentration,and spatial autocorrelation and kernel density esti-mation methods and Geodetector were used to study the spatial and temporal distribution characteristics of PM2.5 and the characteristics of meteorological driving factors.The main results of the study are as follows:The rate of compliance with the secondary standard for PM2.5 concentration in major cities across Hubei Province appears to be increasing.The average annual PM25 concentration in each city gradually increased from 42.47 to 62.94 from 2001 to 2013,and decreased from 62.94 to 32.85 from 2013 to 2020.The kernel density estimation shows that the annual average PM25 concentrations in the cities were gradually dispersed before 2013,while the annual average PM25 concentrations in the cities after 2013 were gradually concentrated in the lower concentration intervals.Taking Wuhan and other central cities as the dividing line,there is a gradient of high to low PM2.5 concentrations in Hubei Province in both east and west directions,and the concen-tration in the west is lower than that in the east.The dispersion effect in areas of higher concentrations diminishes gradually after 2013.There was a significant positive aggregation effect in the spatial distribution of PM25,Qianjiang,Xiantao and Tianmen basically showed high-high aggregation characteristics,while Enshi Tujia and Miao Autonomous Prefecture and Shennongjia Forest Area all showed low-low aggregation characteristics.Very few cities showed high-low or low-high aggre-gation characteristics.Geodetector shows that the meteorological factors had a significant effect on the PM25 concentration.The average explanatory degree of various meteorological factors on PM2 5 concentration is ranked as follows:wind speed(0.798)＞temperature(0.752)＞humidity(0.727)＞sunshine(0.694)＞precipitation(0.639).The dominant driv-ing factors were different in different years,and temperature was the dominant driving factor before 2010,while wind speed was the dominant driving factor after 2010.关键词
PM25/时空分布/驱动因子/空间自相关/核密度估计/地理探测器Key words
PM2.5/temporal and spatial patterns/driving factors/spatial autocorrelation/kernel density estimation/Geodetector分类
资源环境引用本文复制引用
周靖承,姚衡,曹艳晓,朱熙,陈宁..2001-2020年湖北省PM2.5时空分布特征及气象驱动因子分析[J].生态与农村环境学报,2023,39(12):1559-1567,9.基金项目
教育部新工科研究与实践项目(31412211312) （31412211312）
