Vertical and horizontal distributions of traffic-related pollutants beside an urban arterial road based on unmanned aerial vehicle observations

Zheng, Tie; Bai, Li; Li, Xiaobing; Wang, Zhanyong; Li, Siyu; Peng, Zhong-Ren

doi:10.1016/j.buildenv.2020.107401

Cited by 40 publications

(11 citation statements)

References 53 publications

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“…The increase of O 3 is probably due to the high intensity of photochemical reactions that are enhanced by solar radiation during the day (Li et al, 2017;Liu et al, 2020). The higher concentration at 10:00 than at 14:00 was possibly associated with higher traffic emissions hour and lower vertical convection of air masses that hinder the air pollutant dispersion at 10:00 (Li et al, 2017;Lu et al, 2020;Zheng et al, 2021). The increased solar radiation led to rising turbulent effects and a deeper ABL from 10:00 to 14:00 within a day, which improved the vertical diffusion of traffic-emitted pollutants (Lu et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…In total, 11 monitoring heights were selected: 0, 2. 5, 5, 10, 15, 20, 30, 40, 60, 80, and 100. The UAV hovered at different monitoring heights for 50 s, because the air pollutant monitors need some buffer time to obtain reliable measurements (Zheng et al, 2021). The first 20 s at each height was considered as the buffer time and the data collected during this period were removed to ensure the accuracy of the data.…”

Section: Field Campaignsmentioning

confidence: 99%

“…The air purification of a forest in different seasons remains unknown. Additionally, wind velocity is likely to provide sophisticated means for a thorough understanding of the dispersion of air pollutants and transport over the urban surface (Zheng et al, 2021). In case the wind speed and direction cannot be quantified during the rotation of the UAV wing, the analysis of pollutant dispersion could be deeper if the local wind information was considered.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

“…They ensure the acquisition of air pollutant concentrations with a high temporal and spatial resolution (Peng et al, 2015;Liu et al, 2020Liu et al, , 2021Wu et al, 2021). Several previous studies based on UAVs' observations were conducted to characterize the horizontal and vertical distribution of air pollutants in rural and urban areas (Li et al, 2017(Li et al, , 2018(Li et al, , 2019Zheng et al, 2021). However, previous studies were mainly focused on the spatial or temporal distribution of air pollutants, whereas the response of vertical air pollutant distributions to urban structures such as buildings, and green infrastructure was rarely considered.…”

Section: Introductionmentioning

confidence: 99%

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Vertical evaluation of air quality improvement by urban forest using unmanned aerial vehicles

et al. 2022

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Urban forest is considered an effective strategy for mitigating urban air pollution via deposition, absorption and dispersion processes. However, previous studies had focused mainly on the deposition effect or removal capacity near the ground, while the net effect of the urban forest on air quality is rarely evaluated in the vertical dimension. In this study, PM2.5 (particulate matter with diameter less than 2.5), PM10 (particulate matter with diameter less than 10 μm), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) concentrations, air temperature, relative humidity, and atmospheric pressure at 0, 2.5, 5, 10, 15, 20, 30, 40, 60, 80, and 100 m in urban forest, street, and community areas were collected by unmanned aerial vehicles (UAVs) equipped with Sniffer4D V2 on overcast and sunny days. The PM, CO, NO2, and O3 concentrations increased with height below 20 m and then slightly decreased with height on an overcast day, whereas SO2 concentrations decreased with height within 20 m. The urban forest increased PM concentrations in the morning of an overcast day, whereas it decreased PM concentrations in the afternoon of the overcast day. The forest obstructed PM dispersion from the canopy when PM concentrations grew lower in the morning, but it hindered PM from deposition when PM concentrations grew higher in the afternoon.

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Section: Discussionmentioning

confidence: 99%

Section: Field Campaignsmentioning

confidence: 99%

Section: Strengths and Limitationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vertical evaluation of air quality improvement by urban forest using unmanned aerial vehicles

et al. 2022

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“…Model simulation and field investigation are two main approaches to study air quality in urban street canyons [25]. Air pollutant dispersion models in street canyons can be divided into three types: operational models, computational fluid dynamics (CFD) models, and reduced-scale models [26].…”

Section: Introductionmentioning

confidence: 99%

Assessing Ozone Distribution Vertically and Horizontally in Urban Street Canyons Based on Field Investigation and ENVI-met Modelling

Miao

Chen

2022

Buildings

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High concentrations of ozone (O3) is a major air problem in urban areas, which creates a serious threat to human health. Urban street canyon morphology plays a key role in air pollutant dispersion and photochemical reaction rate. In this study, a one-year observation at three height levels was performed to investigate the O3 distribution vertically in a street canyon of Shenyang. Then, field investigation and ENVI-met modelling were conducted to quantify the influence of street canyon morphology and microclimatic factors on O3 distribution at the pedestrian level. All O3 concentrations at the three height levels were high from 1:00 p.m. to 4:00 p.m. Both O3 concentrations at pedestrian level and the middle level in the canyon were 40% higher than at roof level. O3 accumulated in the canyons rather than spread out. The in-canyon O3 concentrations had significantly positive correlations with building height, aspect ratio, sky view factor, air temperature, and wind speed. Both field investigation and ENVI-met modelling found high O3 concentrations in medium canyons. Photochemical reaction intensity played a more important role in in-canyon O3 distribution than dispersion. Wide canyons were favorable for removing O3.

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Utilizing unmanned aerial vehicle technology for environmental monitoring: Future trends, methods, and applications

Li,

2024

Internet Technology Letters

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This paper provides an overview of the application of Unmanned Aerial Vehicles (UAVs) in environmental monitoring, with a focus on air pollution surveillance. Initially, the paper highlights the significance of UAV technology for real‐time air quality monitoring in developing countries and explores the characteristics of fixed‐wing and multirotor UAVs in monitoring air pollutants. It then delves into methods of measuring air pollutants using UAV platforms, including the three‐dimensional distribution of pollutants around roadsides, green belts, and street‐facing communities. The advantages of UAV measurements, such as lower costs, greater flexibility, and the ability to monitor in three dimensions, are emphasized. Finally, the paper discusses future trends in the field of environmental monitoring using UAVs, including technological advancements, evolving regulatory policies, and integration with other technologies like Artificial Intelligence, big data analytics, and 5G communication. These developments suggest an increasingly significant role for UAVs in environmental monitoring, enhancing efficiency, reducing costs, and contributing to public participation and environmental awareness. However, due to the delays in publication and review processes, the most recent studies may not have been included in the literature review, leading to a scenario where the review might not reflect the latest research trends.

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Vertical and horizontal distributions of traffic-related pollutants beside an urban arterial road based on unmanned aerial vehicle observations

Cited by 40 publications

References 53 publications

Vertical evaluation of air quality improvement by urban forest using unmanned aerial vehicles

Vertical evaluation of air quality improvement by urban forest using unmanned aerial vehicles

Assessing Ozone Distribution Vertically and Horizontally in Urban Street Canyons Based on Field Investigation and ENVI-met Modelling

Utilizing unmanned aerial vehicle technology for environmental monitoring: Future trends, methods, and applications

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