摘要
以2009~2018年黑龙江省13个地级城市PM_(2.5)为研究对象,采用空间计量等模型方法分析了其时空演变特征,探究了其影响因素。结果表明:研究期内黑龙江省PM_(2.5)污染呈现先上升后降低趋势;污染情况有明显的季节性特征,冬季最为严重;全局空间自相关大部分呈现出负相关性,局部自相关性差,污染重心在伊春市;风速、地区GDP和人口对PM_(2.5)污染呈显著正向作用,气温与降水量起反向影响。
Taking PM_(2.5) in 13 prefecture-level cities of Heilongjiang Province from 2009 to 2018 as the research objects,this paper analyzes the temporal and spatial evolution characteristics and explores its influencing factors by using spatial measurement and other model methods.The results showed that the PM_(2.5) pollution in Heilongjiang Province increased first and then decreased during the study period.Pollution has obvious seasonal characteristics,and it is the most serious in winter.Global spatial autocorrelation analysis showed negative correlation,but the local autocorrelation is poor,and the pollution center is in Yichun City.Wind speed,regional GDP and population have a significant and positive effect on PM_(2.5) pollution,while air temperature and precipitation have a reverse effect.
作者
张思宇
茹艺
Zhang Siyu;Ru Yi(Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and SpatialInformation Service in Cold Regions,College of Geographical Science,Harbin Normal University,Harbin,Heilongjiang 150025,China;Harbin Center for DiseaseControl and Prevention,Harbin,Heilongjiang 150056,China)
出处
《绿色科技》
2022年第4期96-99,共4页
Journal of Green Science and Technology
关键词
细颗粒物
大气污染
时空演变
影响因素
PM_(2.5)
air pollution
space-time evolution
influence factors
