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京津冀地区大气PM2.5污染时空分布特征及成因分析

苏孟倩 石玉胜

中国科学院大学学报2024,Vol.41Issue(3):334-344,11.
中国科学院大学学报2024,Vol.41Issue(3):334-344,11.DOI:10.7523/j.ucas.2023.025

京津冀地区大气PM2.5污染时空分布特征及成因分析

Spatial and temporal distribution characteristics and influential factors of PM2.5 pollution in Beijing-Tianjin-Hebei

苏孟倩 1石玉胜2

作者信息

  • 1. 中国科学院空天信息创新研究院,北京 100094||中国科学院大学,北京 100049
  • 2. 中国科学院空天信息创新研究院,北京 100094
  • 折叠

摘要

Abstract

The fine particulate matter PM2.5 could be harmful to human health and the atmospheric environment.Beijing-Tianjin-Hebei is one of the most serious regions in China in terms of atmospheric PM2.5 pollution.Based on PM2.5 concentrations data,natural factors data,and human activity factors data,this study used kriging interpolation and statistical analysis to explore the spatial and temporal distribution characteristics of atmospheric PM2.5 pollution in 13 cities of Beijing-Tianjin-Hebei in 2017 and then used correlation analysis models and factor analysis models to explore its influential factors.The results show that in Beijing-Tianjin-Hebei,1)PM2.5 concentrations are low in the north and high in the south.The gradient of annual average concentrations between the southern and northern cities can reach up to 64 μg/m3.2)PM2.5 concentrations are high in winter and low in summer,high in the morning and evening,and low in the afternoon.PM2.5 concentration in winter is 1.3-2.8 times higher than in summer,and the daily differences in PM2.5 concentrations in all seasons are between 11-29 μg/m3.3)Atmospheric PM2.5 pollution is closely related to natural factors.Terrain and topography affect the processes of PM2.5 aggregation,transport,and dispersion.Wind speed,sunshine hours,and relative humidity are the dominant meteorological factors affecting atmospheric PM2.5 pollution,and PM2.5 concentrations have the strongest correlation with meteorological factors in winter.4)Atmospheric PM2.5 pollution is closely related to human activities,which can be summarized into social economy factor,industrial pollutant discharge factor,and urban construction factor.The results of this study will help fill the gaps in air pollution prevention and control in Beijing-Tianjin-Hebei.

关键词

京津冀地区/PM2.5/时空分布/相关分析/因子分析

Key words

Beijing-Tianjin-Hebei/PM2.5/spatial-temporal distribution/correlation analysis/factor analysis

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资源环境

引用本文复制引用

苏孟倩,石玉胜..京津冀地区大气PM2.5污染时空分布特征及成因分析[J].中国科学院大学学报,2024,41(3):334-344,11.

基金项目

风云三号03 批气象卫星工程地面应用系统生态监测评估应用项目(第一期)(ZQC-R22227)、国家自然科学基金(42071398)、国家重点研发计划(2021YFB3901000)和中国科学院人才项目(Y8YR2200QM)资助 (第一期)

中国科学院大学学报

OA北大核心CSTPCD

2095-6134

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