摘要
该文基于CE-318反演的光学参数、环境监测站的细颗粒物分布和以卫星数据为基础所做的后向轨迹图,研究了2017年9月-2018年8月的桂林地区气溶胶特性,分析由CE-318数据反演的桂林地区的气溶胶光学参数。结果显示:气溶胶在500 nm通道的光学厚度反演值在0.136~3.490,波长指数的反演范围在0.065~1.776,平均值为1.164,较高的波长指数值表明桂林市的空气质量主要受人为气溶胶干扰。对观测期间总体和不同季节波长指数出现的频次进行统计,并进行高斯拟合。拟合结果表明:整个观测期间波长指数峰值出现在1.347处,确定主控粒子是细粒子;由环境监测站的桂林全年细颗粒物分布发现:研究期间,2017年11月、12月、2018年1月出现污染过程;利用卫星数据做污染日的HYSPLIT后向轨迹图观察发现:桂林污染较为严重时主要受东北和东南风场影响。
Based on the optical parameters of CE-318,the fine particle distribution of environmental monitoring stations,and the backward trajectory map by using satellite data,the aerosols of Guilin from September 2017 to August 2018 were studied,and the results show that the inverted value of aerosol optical depth in 500 nm channel ranged from 0.136 to 3.490.The Angstrom exponent is ranged from 0.065 to 1.776 and the average is 1.164,the higher value indicates that air quality in Guilin is mainly affected by anthropogenic aerosols.The occurrence frequency of Angstrom exponent in whole period and different seasons during the observation period was counted,as well as Gaussian fitting.The results show that the peak of Angstrom exponent appeared in 1.347 during all period,and the main control particle is fine particle.In the end,the relationship between aerosol optical properties and air quality was analysed.The results show that the trend between air quality and optical depth during observation period is positive correlation.According to the distribution of fine particles in Guilin's annual environmental monitoring station,pollution processes occurred in November,December 2017 and January 2018 during the observation period.The satellite data was used to make the HYSPLIT backward trajectory of pollution process,determining that the pollution of Guilin was mainly affected by the northeast and southeast wind fields.
作者
叶松
关屿璠
李树
汪杰君
王新强
王方原
甘永莹
张文涛
YE Song;GUAN Yufan;LI Shu;WANG Jiejun;WANG Xinqiang;WANG Fangyuan;GAN Yongying;ZHANG Wentao(School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China;Guangxi Key Laboratory of Optoelectronic Information Processing,Guilin 541004,China)
出处
《环境科学与技术》
CAS
CSCD
北大核心
2019年第10期27-33,共7页
Environmental Science & Technology
基金
国家自然科学基金（41561079）
