基于激光雷达观测网的杭州及周边地区颗粒物污染特征研究

摘要/Abstract

摘要： 激光雷达观测网是研究区域大气颗粒物污染分布特征的有力工具。长三角地区激光雷达观测网部分站点的激光雷达资料与地面气象数据、PM2.5、PM10质量浓度数据,以及HYSPLIT后向轨迹模型模拟的后向轨迹相结合,对2016年9月杭州及其周边地区一次颗粒物污染的来源和成因进行了分析。分析结果表明,9月8日杭州颗粒物污染过程是该地区局地污染与高空输送共同作用的结果,且粗粒子主要来源于西北方向。杭州地区SO$_2$浓度整体较低,PM2.5浓度与NO$_2$浓度呈正相关,细颗粒物主要以硝酸盐为主。较高的NO$_2$浓度和高湿度、低风速的不利气象条件,是该地区局地细粒子快速增长的主要原因。

关键词: 大气颗粒物, 激光雷达, HYSPLIT后向轨迹模型, 颗粒物污染

Abstract: Lidar observation network plays an important role in the research of regional distribution characteristics of particulates. The data of the lidar network in the Yangtze River Delta region were examined together with meteorological data, PM2.5 and PM10 mass concentrations and the HYSPLIT backward trajectory model, to analyze the sources and causes of particle pollution in Hangzhou and surrounding areas. The analysis showed that, the particles pollution process in September 2016 in Hangzhou was the consequence of combination of the local pollution and external transportation dust, and the coarse particles were mainly from the northwest China in the pollution process. The concentration of SO$_2$ remained at low level, and that of PM2.5 was positively associated with the concentration of NO$_2$, and the nitrate second particles were prevalent in fine particles. The higher concentration of NO$_2$, high humidity, and low wind speed were all the main causes of the rapid growth of fine particles in the region.

Key words: atmospheric particles, lidar, HYSPLIT backward trajectory model, particle pollution

中图分类号:

TP79

徐达1,张全1,范广强2,姚德飞1,田旭东1,王界3, 李文刚3. 基于激光雷达观测网的杭州及周边地区颗粒物污染特征研究[J]. 大气与环境光学学报.

XU Da1, ZHANG Quan1, FAN Guangqiang2, YAO Defei1, TIAN Xudong1,WANG Jie3, LI Wengang3. Characteristics of Particles Pollution Based on Lidar Network in Hangzhou and Surrounding Areas[J]. Journal of Atmospheric and Environmental Optics.

参考文献

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