山东省内陆和沿海特大城市PM_(2.5)和O_(3)污染变化特征对比  被引量:4

Comparison of PM_(2.5) and O_(3)Pollution Changes in Inland and Coastal Megacities in Shandong Province

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作  者:李恬 姚文姣 栾兆鹏[2] 李瑞[1] 冯勇 郑丽娜 付卫康 LI Tian;YAO Wen-jiao;LUAN Zhao-peng;LI Rui;FENG Yong;ZHENG Li-na;FU Wei-kang(Ji'nan Meteorological Bureau,Ji'nan 250102,China;Tai'an Meteorological Bureau,Tai'an 271000,China;Shandong Provincial Meteorological Data Center,Ji'nan 250031,China;Nanjing University of Information Science&Technology,Nanjing 210055,China)

机构地区:[1]济南市气象局,山东济南250102 [2]泰安市气象局,山东泰安271000 [3]山东省气象数据中心,山东济南2250031 [4]南京信息工程大学,江苏南京210044

出  处:《环境科技》2023年第6期47-52,69,共7页Environmental Science and Technology

基  金:国家自然科学基金(42075186,41830965,42275196);国家重点研发计划(2022YFC370030304);山东省气象局引导项目(2021SDYD23),。

摘  要:根据2018年~2022年济南市和青岛市的污染监测数据,对比分析两市PM_(2.5)和O_(3)的污染特征及其相互作用规律。结果表明,济南市PM2s的年均质量浓度较青岛市偏高20μg/m^(²),两市O_(3)的年均浓度相近,但夏季青岛市O_(3)的质量浓度峰值低于济南市37μg/m。两城市PM_(2.5)和O_(3)相互作用关系存在明显差异,PM_(2.5)与O_(3)在冷季时均呈负相关性,在暖季时均呈正相关性。暖季时青岛市PM_(2.5)与O_(3)的正相关性均较济南市更高。青岛市PM_(2.5)和O_(3)的浓度分布均较济南市更加集中。This study used pollution monitoring data during 2018~2022 to compare and analyze the pollution characteristics and interaction patterns of PM_(2.5) and O_(3)in Ji'nan and Qingdao.The results show that the annual average PM_(2.5) concentration in Jinan is higher than that in Qingdao about 20μg/m^(3).The annual average concentrations of O_(3)are similar,but the peak concentration of O_(3) in Qingdao during summer is 37μg/m^(3)lower than that in Ji'nan.A significant difference appears in the interaction relationship between PM_(2.5) and O_(3)of the two cities.There is a negative correlation between PM_(2.5) and O_(3)changes during cold seasons and a positive correlation during the warm seasons.The positive correlation between PM_(2.5) and O_(3)in Qingdao during the warm season is higher than that in Ji'nan.The concentration distribution of PM_(2.5) and O_(3)in Qingdao is more concentrated than that in Ji'nan.

关 键 词:山东 特大城市 PM_(2.5) 0_(3) 复合大气污染 

分 类 号:X8[环境科学与工程—环境工程]

 

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