中国中东部PM_(2.5)时空分布变化及气象影响分析  

Spatial-temporal Distribution Changes of PM_(2.5) and Meteorological Effects Analysis in Mid-eastern China

作　　者：李娟[1,2] 尉鹏 褚旸晰[1] 靳文静 胡荣明 张博雅[1] 任鹏杰 LI Juan;WEI Peng;CHU Yangxi;JIN Wenjing;HU Rongming;ZHANG Boya;REN Pengjie(Chinese Research Academy of Environmental Sciences,Beijing 100081,China;College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China)

机构地区：[1]中国环境科学研究院,北京100081 [2]西安科技大学测绘科学与技术学院,陕西西安710054

出　　处：《环境科学与技术》2021年第3期53-62,共10页Environmental Science & Technology

基　　金：大气污染成因与控制技术研究国家重点研发计划(2017YFC0212202)。

摘　　要：为探究气象条件变化对PM_(2.5)的分布影响,该研究利用CAMx及WRF模型,分别模拟了中国中东部地区2017-2019年第4季度PM_(2.5)浓度(ρ(PM_(2.5)))分布及气象条件变化,并对“2+26”城市、长江三角洲地区的ρ(PM_(2.5))及气象因子进行时空变化分析。结果表明:2017-2019年,太行山东麓沿线污染最为严重,季度平均ρ(PM_(2.5))达150~250μg/m^(3),长江三角洲地区季度平均ρ(PM_(2.5))为35~115μg/m^(3);2019年太行山东麓及燕山南麓地区气象条件优势明显,西北气流频次增加,同时相对湿度下降,大气边界层升高,降水量增加,地区ρ(PM_(2.5))下降6~18μg/m^(3);长江三角洲沿海地区降水量增加,风速增大,ρ(PM_(2.5))下降8~16μg/m^(3)。数值模拟结果显示,2017-2019年,受降水、相对湿度、边界层、风速以及主导风向的影响,2019年中国中东部地区冬季ρ(PM_(2.5))降低6~18μg/m^(3),不同区域影响ρ(PM_(2.5))变化的气象因子不同。In order to explore the influence of changes in meteorological conditions on the distribution of PM_(2.5),CAMx and WRF models were used to simulate the distribution of PM_(2.5)concentration ρ(PM_(2.5))and meteorological factors in the fourth quarter of 2017-2019 of central and eastern China.The spatial-temporal distribution changes of ρ(PM_(2.5))and meteorological factors in the“2+26”cities and the Yangtze River Delta(YRD)were analyzed.The results showed that from 2017 to 2019,the pollution along the eastern foot of the Taihang Mountain was the most serious,with the averageρ(PM_(2.5))reaching 150~250μg/m^(3),while the average density ofρ(PM_(2.5))in the YRD was 35~115μg/m^(3).In 2019,the meteorological conditions in the eastern foot of the Taihang Mountain and the southern foot of the Yanshan Mountain have obvious advantages.The frequency of northwest airflow has increased,at the same time,the relative humidity has decreased,the atmospheric boundary layer has increased,and precipitation has increased,which causes theρ(PM_(2.5))to decrease by 6~18μg/m^(3).The YRD coastal areas precipitation increases,wind speed increases,andρ(PM_(2.5))decreased by 8~16μg/m^(3).The numerical simulation results show that the comprehensive change of meteorological factors in the fourth quarter from 2017 to 2019 affects the spatiotemporal changes ofρ(PM_(2.5)).Affected by precipitation,relative humidity,boundary layer,wind speed,and dominant wind direction,ρ(PM_(2.5))in central and eastern China decreased in 2019.The meteorological factors affecting the changes of ρ(PM_(2.5))are different in different regions.

关 键 词：PM_(2.5) CAMX 时空分布变化 气象因子 

分 类 号：X16[环境科学与工程—环境科学]