Next Article in Journal
Hurricane Boundary Layer Height Relative to Storm Motion from GPS Dropsonde Composites
Previous Article in Journal
A NOx Emission Model Incorporating Temperature for Heavy-Duty Diesel Vehicles with Urea-SCR Systems Based on Field Operating Modes
Previous Article in Special Issue
New Regression Method to Merge Different MODIS Aerosol Products Based on NDVI Datasets
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle

Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data

Key Laboratory of Aerosol and Cloud Precipitation Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(6), 338; https://doi.org/10.3390/atmos10060338
Received: 22 May 2019 / Revised: 12 June 2019 / Accepted: 17 June 2019 / Published: 20 June 2019
(This article belongs to the Special Issue Remote Sensing of Aerosols)
  |  
PDF [4995 KB, uploaded 20 June 2019]
  |  

Abstract

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. View Full-Text
Keywords: aerosol; multi-source data; meteorological elements aerosol; multi-source data; meteorological elements
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhang, Y.; Wang, J.; Bu, L. Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data. Atmosphere 2019, 10, 338.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top