成渝地区PM_(2.5)时空分布特征及影响因素  

Spatio-temporal Characteristics and Influencing Factors of PM_(2.5) in Cheng-Yu District

作　　者：邓迪 卢培利[1,3] 段林丰 李振亮 王锋文 翟崇治 DENG Di;LU Peili;DUAN Linfeng;LI Zhenliang;WANG Fengwen;ZHAI Chongzhi(Key Laboratory of Three Gorges Reservoir Region's Eco-Environment,Ministry of Education,Chongqing University,Chongqing 400045,China;Chongqing Academy of Ecology and Environmental Sciences,Chongqing 401147,China;Department of Environmental Science,Chongqing University,Chongqing 400045,China)

机构地区：[1]重庆大学三峡库区生态环境教育部重点实验室,重庆400045 [2]重庆市生态环境科学研究院,重庆401147 [3]重庆大学环境科学系,重庆400045

出　　处：《环境影响评价》2021年第4期84-90,共7页Environmental Impact Assessment

基　　金：国家重点研发计划成渝地区大气污染联防联控技术与集成示(No.2018YFC0214005);中国工程科技发展战略咨询研究重点项目(2021-XZ-CQ-1)。

摘　　要：基于成渝地区2017年监测数据,运用普通克里金插值法、空间自相关和相关性分析,对该区域PM_(2.5)时空分布特征及影响因素进行了研究。结果表明:成渝地区PM_(2.5)浓度季节变化呈现出冬高(1月最高)夏低(7和8月最低)、春秋居中的规律,日均值整体趋势与月均值变化相似,且呈现为周期性脉冲型起伏变化;区域PM_(2.5)浓度在空间上存在集聚现象,高值主要聚集在成都平原经济区、川南经济区;前体物的二次转化、机动车保有量和燃料燃烧对成渝地区PM_(2.5)浓度有显著影响;从全年来看,该区域的PM_(2.5)浓度与气温、风速、降水量都呈显著负相关。Based on the monitoring data of the Cheng-Yu District in 2017,the spatial and temporal characteristics and influencing factors of PM_(2.5) were analyzed by Kriging interpolation,spatial auto-correlation analysis and correlation analysis.The result showed that the PM_(2.5) concentration is highest in winter(especially in January),lowest in summer(especially in July and August),and in the middle in spring and autumn.In addition,the changing trend of the daily average value of PM_(2.5) concentrations is similar to that of the monthly average change,and it presents periodic pulse-fluctuations.The PM_(2.5) concentration of Cheng-Yu District shows a spatial agglomeration effect,and the high concentration is mainly concentrated in the Chengdu Plain Economic Zone,the Southern Sichuan Economic Zone.The secondary transformation of precursors,the number of motor vehicles and fuel combustion has a significant impact on the PM_(2.5) concentration in the Cheng-Yu District.Based on the whole year,the PM_(2.5) concentration in this region has significantly negatively correlated with temperature,wind speed,and precipitation.

关 键 词：成渝地区 PM_(2.5) 时空分布 气象因素 

分 类 号：X513[环境科学与工程—环境工程]