摘要
基于2015~2021年东北三省36个地级市(区)的PM_(2.5)浓度数据,分析其空间分布特征,并引入地理探测器分析社会经济因素和气象因素对PM_(2.5)浓度的影响.结果表明:(1)2015~2021年东北三省PM_(2.5)污染状况逐年改善,但浓度季节差异明显,冬季平均浓度最高,夏季平均浓度最低;(2)PM_(2.5)年平均浓度存在明显的空间聚集性,总体呈现南高北低的空间格局;(3)浓度空间热点区集中在辽宁省,空间冷点区集中在黑龙江省北部地区.(4)单因子探测显示全社会用电量、温度以及规模以上工业企业数对PM_(2.5)浓度的影响最为明显.多因子共同作用比单因子影响更加 显著.以上结果可以为东北三省联合防治PM_(2.5)污染提供理论支持,为发展绿色经济提供参考.
Based on the monthly PM_(2.5) concentration data of 36 prefecture-level cities(districts)in the three northeastern provinces from 2015 to 2021,the spatial distribution characteristics of the three northeastern provinces were analyzed,and the effects of socio-economic factors and meteorological factors on PM_(2.5) concentration were analyzed by geographical detectors.The results showed that:(1)The PM_(2.5) pollution situation in the three northeastern provinces improved year by year from 2015 to 2021,but the concentration seasonal differences were obvious,with the highest average concentration in winter and the lowest average concentration in summer.(2)There was obvious spatial aggregation of the average concentration of PM_(2.5),which generally showed a spatial pattern of high in the south and low in the north.(3)The concentration of spatial hotspots was concentrated in Liaoning Province,and the spatial cold spot area was concentrated in the northern region of Heilongjiang Province.(4)The one-factor detection shows that the influence of electricity consumption,temperature and the number of industrial enterprises above designated size on PM_(2.5) concentration is the most obvious.Multifactor synergy is more pronounced than single-factor effects.The above results can provide theoretical support for the joint prevention and control of PM_(2.5) pollution in the three northeastern provinces,and provide a reference for the development of a green economy.
作者
刘沐筱
何云玲
程怡璟
Liu Muxiao;He Yunling;Cheng Yijing(Yunnan University;Yangjiang No.1 Middle School)
出处
《哈尔滨师范大学自然科学学报》
2025年第3期80-88,94,共10页
Natural Science Journal of Harbin Normal University
关键词
PM_(2.5)
时空特征
冷热点分析
地理探测器
驱动因素
PM_(2.5)
spatial-temporal characteristics
Hot and cold spot analysis
Geodetectors
Driving factors
作者简介
通讯作者:何云玲。
