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2013-2018年山东省大气PM(2.5)和PM(10)污染时空变化及其影响因素 被引量:15

RESEARCH ON TEMPORAL AND SPATIAL VARIATIONS OF ATMOSPHERIC PM 2.5 AND PM 10 AND THE INFLUENCING FACTORS IN SHANDONG,CHINA DURING 2013-2018
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摘要 PM(2.5)和PM(10)污染已成为全球关注的重要环境问题,监测其污染状况对人类健康、动植物生长、大气环境评价等具有重要意义。基于2013-2018年山东省17个城市大气PM(2.5)和PM(10)监测数据,利用时空分析方法和Spearman相关分析方法,研究其污染时空变化特征,并分析气象、人为及政策因素对二者的影响。结果表明:与2013年相比,2018年山东省大气PM(2.5)和PM(10)污染程度明显减轻,年均浓度降幅分别为48.72%、37.72% 6年整体月均PM(2.5)浓度呈近似"U"形变化规律,月均PM(10)浓度呈近似"V"形变化规律 PM(2.5)和PM(10)污染整体呈由西北内陆向东部沿海地区逐渐减轻的空间趋势 PM(2.5)和PM(10)浓度受气温和降水量2个气象因素影响较显著,受道路密度、城市绿化覆盖面积、SO2和NOx排放量等人为因素影响较显著,且气象因素和人为因素对PM(2.5)浓度的影响较PM(10)更大。 PM 2.5 and PM 10 pollutions have become important environmental problems which have attracted great attention in the world.Monitoring PM 2.5 and PM 10 pollutions is of great significance to human health,animal and plant growth,atmospheric environment assessment,etc.Based on the atmospheric PM 2.5 and PM 10 monitoring data of 17 cities in Shandong during 2013—2018,the paper studied spatial and temporal variation characteristics of PM 2.5 and PM 10 pollution in Shandong and analyzed the influence of meteorological factors,human factors and policy factors on them,using the temporal-spatial analysis method and the Spearman correlation analysis method.The results showed that:compared with 2013,the pollution extent of PM 2.5 and PM 10 in Shandong was significantly reduced in 2018,with an annual mean concentration dropped of 48.72%and 37.72%respectively;the presentation of the monthly PM 2.5 mean concentration variation in the studied six years was similar to the“U”shape change rule,and the monthly PM 10 mean concentration was similar to the“V”shape change rule;the overall pollution conditions of PM 2.5 and PM 10 showed a spatial trend of gradual reduction from the northwest inland to the eastern coastal area;the concentrations of PM 2.5 and PM 10 were significantly affected by the meteorological factors of temperature and precipitation,as well as the human factors of road density,urban green coverage,SO 2 and NO x emissions,etc.Besides,meteorological and human factors had a greater impact on PM 2.5 concentration than PM 10 concentration.
作者 魏文静 谢炳庚 周楷淳 李晓青 WEI Wen-jing;XIE Bing-geng;ZHOU Kai-chun;LI Xiao-qing(College of Resource and Environment Science,Hunan Normal University,Changsha 410081,China)
出处 《环境工程》 CAS CSCD 北大核心 2020年第12期103-111,共9页 Environmental Engineering
基金 国家重点研发计划项目(2016YFC0502406)。
关键词 PM(2.5) PM(10) 时空特征 气象因素 人为因素 山东省 PM 2.5 PM 10 spatial-temporal feature meteorological factor human factor Shandong
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