大气与环境光学学报, 2019, 14 (3): 171, 网络出版: 2019-07-20   

基于激光雷达观测网的杭州及周边地区颗粒物

Characteristics of Particles Pollution Based on Lidar Network in Hangzhou and Surrounding Areas
作者单位
1 浙江省环境监测中心,浙江 杭州 310012
2 中国科学院安徽光学精密机械研究所中国科学院环境光学与技术重点实验室,安徽 合肥 230031
3 无锡中科光电技术有限公司,江苏 无锡 214135
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SO2浓度整体较低,PM2.5浓度与NO2浓度呈正相关,细颗粒物主要以硝酸盐为主。较高的NO2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。
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 SO2 remained at low level, and that of PM2.5 was positively associated with the concentration of NO2, and the nitrate second particles were prevalent in fine particles. The higher concentration of NO2, high humidity, and low wind speed were all the main causes of the rapid growth of fine particles in the region.

徐达, 张全, 范广强, 姚德飞, 田旭东, 王界, 李文刚. 基于激光雷达观测网的杭州及周边地区颗粒物[J]. 大气与环境光学学报, 2019, 14(3): 171. XU Da, ZHANG Quan, FAN Guangqiang, YAO Defei, TIAN Xudong, WANGJie, LI Wengang. Characteristics of Particles Pollution Based on Lidar Network in Hangzhou and Surrounding Areas[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(3): 171.

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