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2015年宁波地区两次灰霾天气过程气溶胶垂直分布特征分析

黄思源 王界 全彩峰

气象与环境学报2017,Vol.33Issue(3):45-51,7.
气象与环境学报2017,Vol.33Issue(3):45-51,7.DOI:10.3969/j.issn.1673-503X.2017.03.006

2015年宁波地区两次灰霾天气过程气溶胶垂直分布特征分析

Vertical distributions of aerosol during two haze events in 2015 over Ningbo,Zhejiang province

黄思源 1王界 2全彩峰3

作者信息

  • 1. 宁波市气象网络与装备保障中心,浙江 宁波 315012
  • 2. 无锡中科光电技术有限公司,江苏 无锡 214135
  • 3. 宁波市镇海区气象局,浙江 宁波 315202
  • 折叠

摘要

Abstract

Observation data from the polarized-LiDARs of Zhenhai district and Fenghua,as well as conventional surface meteorological data,wind profile radar data and atmospheric composition data were used to analyze the vertical distribution characteristics of aerosol over Ningbo during two haze events,occurring on February 12-14 and 16-18,2015,respectively.Their formation mechanisms were further evaluated by means of vertical-temporal variations of extinction and depolarized coefficients at 532 nm and 355 nm.The results show that the first event was caused by local pollutants accumulation,whereas the second event was caused by the transboundary transport,deposition and near-surface mixing of pollutants.Particulate matters appeared below 1 km and between 1-2 km during the two events,respectively.High-level wind fields from wind profile radars were in good agreement with particulate matter characteristics observed by polarized-LiDARs,which can further interpret the different formation mechanisms of the two events.Using LiDAR-network technology to observe high-level particulate matters altered the limitation of near surface observations and single site soundings,providing reasonable technological methods for the quantitative analysis of pollutant transport intensities and spatial-temporal variations.Through LiDAR network,monitoring and early warning of haze events will be further promoted.

关键词

灰霾/气溶胶/AQI/消光系数/退偏振度/风廓线

Key words

Haze/Aerosol/AQI/Extinction coefficients/Depolarization coefficients/Wind profile

分类

天文与地球科学

引用本文复制引用

黄思源,王界,全彩峰..2015年宁波地区两次灰霾天气过程气溶胶垂直分布特征分析[J].气象与环境学报,2017,33(3):45-51,7.

基金项目

国家火炬计划(2014GH710703)、江苏省科技成果转化专项资金(BA2015010)和国家重点研发计划(JFYS2016ZY01002708)共同资助. (2014GH710703)

气象与环境学报

OACSTPCD

1673-503X

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