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

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
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DOI:
10.3390/atmos11121371
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发表时间:
2020-12
期刊:
影响因子:
2.9
通讯作者:
Patricia Guimarães;Jianhuai Ye;Carla E. Batista;R. Barbosa;I. Ribeiro;A. Medeiros;Tianning Zhao
Patricia Guimarães;Jianhuai Ye;Carla E. Batista;R. Barbosa;I. Ribeiro;A. Medeiros;Tianning Zhao
中科院分区:
地球科学4区
文献类型:
--
作者:
Patricia Guimarães;Jianhuai Ye;Carla E. Batista;R. Barbosa;I. Ribeiro;A. Medeiros;Tianning Zhao

文献摘要

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2018年旱季,在亚马逊中部巴西马瑙斯市上空,用直升机式无人机(无人机)收集了臭氧、PM2.5和PM10颗粒物、一氧化碳、温度和湿度的夜间垂直分布。通过对垂直廓线的分析,了解了城市夜间边界层(NBL)的结构和污染状况,发现O3浓度、温度和湿度在大多数夜晚在225 ~ 350 m之间有一个拐点,代表城市NBL的顶部。一氧化碳浓度的配置文件相关以及与当地傍晚车辆拥挤的现代运输车队,提供了深入了解地面大气动力学。相反,PM2.5和PM10浓度升高的事件并不能很好地解释当地城市的排放,而是由回轨迹,区域生物质燃烧。这些结果突出了无人机传感器有效载荷新兴技术的潜力,为了解城市地区夜间边界层的污染动态提供了新的约束和见解。
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.