Vertical Profiles of Atmospheric Species Concentrations and Nighttime Boundary Layer Structure in the Dry Season over an Urban Environment in Central Amazon Collected by an Unmanned Aerial Vehicle

Bibliographic Details
Title: Vertical Profiles of Atmospheric Species Concentrations and Nighttime Boundary Layer Structure in the Dry Season over an Urban Environment in Central Amazon Collected by an Unmanned Aerial Vehicle
Authors: Patrícia Guimarães, Jianhuai Ye, Carla Batista, Rafael Barbosa, Igor Ribeiro, Adan Medeiros, Tianning Zhao, Wei-Chun Hwang, Hui-Ming Hung, Rodrigo Souza, Scot T. Martin
Source: Atmosphere, Vol 11, Iss 12, p 1371 (2020)
Publisher Information: MDPI AG, 2020.
Publication Year: 2020
Collection: LCC:Meteorology. Climatology
Subject Terms: air pollution, central Amazon, nighttime, dry season, ozone, boundary layer, Meteorology. Climatology, QC851-999
More Details: Nighttime vertical profiles of ozone, PM2.5 and PM10 particulate matter, carbon monoxide, temperature, and humidity were collected by a copter-type unmanned aerial vehicle (UAV) over the city of Manaus, Brazil, in central Amazon during the dry season of 2018. The vertical profiles were analyzed to understand the structure of the urban nighttime boundary layer (NBL) and pollution within it. The ozone concentration, temperature, and humidity had an inflection between 225 and 350 m on most nights, representing the top of the urban NBL. The profile of carbon monoxide concentration correlated well with the local evening vehicular congestion of a modern transportation fleet, providing insight into the surface-atmosphere dynamics. In contrast, events of elevated PM2.5 and PM10 concentrations were not explained well by local urban emissions, but rather by back trajectories that intersected regional biomass burning. These results highlight the potential of the emerging technologies of sensor payloads on UAVs to provide new constraints and insights for understanding the pollution dynamics in nighttime boundary layers in urban regions.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2073-4433
Relation: https://www.mdpi.com/2073-4433/11/12/1371; https://doaj.org/toc/2073-4433
DOI: 10.3390/atmos11121371
Access URL: https://doaj.org/article/34fe9d08b40148439de0bf4581b997f6
Accession Number: edsdoj.34fe9d08b40148439de0bf4581b997f6
Database: Directory of Open Access Journals
More Details
ISSN:20734433
DOI:10.3390/atmos11121371
Published in:Atmosphere
Language:English