Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data
We analyzed a June 2018 Nanjing, China haze event using ground-based and spaceborne sensors, combined with sounding and HYSPLIT backward trajectory data, with the ground-based and spaceborne sensor data exhibiting good consistency. Water vapor content showed significant positive correlation with AOD...
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doaj-44b568e2342c4706a0160e3efa178a1c2020-11-25T02:14:48ZengMDPI AGAtmosphere2073-44332019-06-0110633810.3390/atmos10060338atmos10060338Analysis of a Haze Event over Nanjing, China Based on Multi-Source DataYiyang Zhang0Jing Wang1Lingbing Bu2Key Laboratory of Aerosol and Cloud Precipitation Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Aerosol and Cloud Precipitation Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Aerosol and Cloud Precipitation Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaWe analyzed a June 2018 Nanjing, China haze event using ground-based and spaceborne sensors, combined with sounding and HYSPLIT backward trajectory data, with the ground-based and spaceborne sensor data exhibiting good consistency. Water vapor content showed significant positive correlation with AOD (aerosol optical depth), and AOD measured in urban and industrial areas was much higher compared to other similar zones. The afternoon convection caused the aerosol uplift during the haze event. Higher aerosol concentration was detected below 2 km. Due to the summer afternoon convective movement, pollutants at high altitude were dominated by small particles, while the overall pollutant mix was dominated by mixed aerosols. During a stable period over June 11−18, a single, near-surface inversion layer, and occasional two inversion layers, stopped pollutant dispersal, with only very stable ocean air mass transport in the southeast direction available. The Air Quality Index drop which took place during June 28−30 was caused by two inversion layers, combined with the immigration of pollutants from inland air masses.https://www.mdpi.com/2073-4433/10/6/338aerosolmulti-source datameteorological elements |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yiyang Zhang Jing Wang Lingbing Bu |
spellingShingle |
Yiyang Zhang Jing Wang Lingbing Bu Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data Atmosphere aerosol multi-source data meteorological elements |
author_facet |
Yiyang Zhang Jing Wang Lingbing Bu |
author_sort |
Yiyang Zhang |
title |
Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data |
title_short |
Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data |
title_full |
Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data |
title_fullStr |
Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data |
title_full_unstemmed |
Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data |
title_sort |
analysis of a haze event over nanjing, china based on multi-source data |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2019-06-01 |
description |
We analyzed a June 2018 Nanjing, China haze event using ground-based and spaceborne sensors, combined with sounding and HYSPLIT backward trajectory data, with the ground-based and spaceborne sensor data exhibiting good consistency. Water vapor content showed significant positive correlation with AOD (aerosol optical depth), and AOD measured in urban and industrial areas was much higher compared to other similar zones. The afternoon convection caused the aerosol uplift during the haze event. Higher aerosol concentration was detected below 2 km. Due to the summer afternoon convective movement, pollutants at high altitude were dominated by small particles, while the overall pollutant mix was dominated by mixed aerosols. During a stable period over June 11−18, a single, near-surface inversion layer, and occasional two inversion layers, stopped pollutant dispersal, with only very stable ocean air mass transport in the southeast direction available. The Air Quality Index drop which took place during June 28−30 was caused by two inversion layers, combined with the immigration of pollutants from inland air masses. |
topic |
aerosol multi-source data meteorological elements |
url |
https://www.mdpi.com/2073-4433/10/6/338 |
work_keys_str_mv |
AT yiyangzhang analysisofahazeeventovernanjingchinabasedonmultisourcedata AT jingwang analysisofahazeeventovernanjingchinabasedonmultisourcedata AT lingbingbu analysisofahazeeventovernanjingchinabasedonmultisourcedata |
_version_ |
1724899574587326464 |