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基于空间计量模型的四川省大气污染特征及影响因素分析
Analysis of Air Pollution Characteristics and Influencing Factors in Sichuan Province Based on Spatial Econometric Model
投稿时间:2022-08-30  修订日期:2023-03-20
DOI:10.19316/j.issn.1002-6002.2024.02.14
中文关键词:  污染特征  影响因素  空间相关性  空间计量模型
英文关键词:air pollution  influencing factors  spatial correlation  spatial econometric model
基金项目:第三次新疆综合科学考察项目(2021xjkk1404);四川省国际合作项目(2020YFH0067)
作者单位
黄欣悦 电子科技大学资源与环境学院, 四川 成都 611731 
刘海隆* 电子科技大学资源与环境学院, 四川 成都 611731 
通讯作者:刘海隆*  电子科技大学资源与环境学院, 四川 成都 611731  
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中文摘要:
      四川省细颗粒物污染问题越来越受到重视,为有效识别四川省大气污染空间分布情况及影响因素,利用2015—2020年PM2.5监测数据,综合分析了四川省大气污染时空分布特征,选取同期气象要素观测数据和社会经济数据,区分出全省及省内不同经济区大气污染的主要影响因素。结果表明:2015—2020年四川省的PM2.5浓度逐年下降,日变化存在明显的双峰双谷趋势,且具有明显季节性特征,空间分布上具有明显的空间聚集现象;PM2.5的排放与人口密度、经济水平和气温呈显著正相关,与城市绿化、风速呈显著负相关。该研究为经济增长方式优化、产业结构调整、绿化水平改善等提供了政策建议,可为污染防治、优化人居环境提供参考。
英文摘要:
      The issue of fine particulate pollution is increasingly being emphasized in Sichuan Province. In order to effectively identify the spatial distribution and influencing factors of air pollution,the PM2.5 monitoring data from 2015 to 2020 were used to comprehensively analyze the spatial and temporal distribution characteristics of air pollution in Sichuan Province, and the meteorological observation data and socio-economic data of the same period were selected to distinguish the main influencing factors of air pollution in the whole area and different economic zones respectively. The results showed that the PM2.5 concentration in Sichuan Province decreased year by year from 2015 to 2020,and the diurnal variation of PM2.5 concentration showed an obvious bimodal and bimodal trend with obvious seasonal characteristics,and the spatial distribution showed an obvious spatial aggregation phenomenon. PM2.5 emission was positively correlated with population density,economic level and air temperature,and negatively correlated with urban greening and wind speed. This study put forward policy suggestions for economic growth mode optimization, industrial structure adjustment and afforestation level improvement,and provided reference for pollution control and optimization of living environment.
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