Investigating the vertical distribution patterns of urban air pollution based on unmanned aerial vehicle gradient monitoring

Li, Chunlin; Liu, Miao; Hu, Yuanman; Wang, Hao; Xiong, Zenggang; Wu, Wen; Liu, Chong; Zhang, Chuyi; Du, Yan

doi:10.1016/j.scs.2022.104144

Cited by 21 publications

(6 citation statements)

References 57 publications

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“…A sensor's vertical location variation may impact measurement consistency at different scales (e.g., city vs. district), as many studies have demonstrated an altitude dependence of particulate matter concentration [39,40]. However, given the relatively low range of height variation in regions with low pollution, the impact of different sensor heights in data analysis is expected to be low [41][42][43][44]. Additionally, measurements are relevant at an individual scale, as they provide real-time information on air quality at heights and places where people usually spend time (e.g., homes, gardens, and school courtyards)…”

Section: Sensors Distributionmentioning

confidence: 99%

A Community-Based Sensor Network for Monitoring the Air Quality in Urban Romania

et al. 2023

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Air quality, especially particulate matter pollution levels in urban areas, is an essential academic and social topic due to its association with health issues and climate change. In Romania, an increasing awareness of urban communities and the availability of low-cost sensors has led to the development of an independent monitoring network currently distributed in over 194 cities and towns. The uRADMonitor® network consists of 630 sensors measuring PM10 and PM2.5 concentration levels. The spatial distribution of the sensors complements the national air quality network with sensors in residential areas, intense traffic zones, and industrial areas. The data are available through a user-friendly web-based platform from uRADMonitor®. Based on data collected in 2021, we present an analysis of PM10 pollution levels in Romania’s five most populated urban areas by employing five annual statistical indicators recommended by the European Environmental Agency. For the case of Timișoara, we also compare the data measured by independent sensors with those from the national monitoring network. The results highlight the usefulness of our community-based network as it complements the national one.

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Section: Sensors Distributionmentioning

confidence: 99%

A Community-Based Sensor Network for Monitoring the Air Quality in Urban Romania

et al. 2023

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“…In addition, Refs. [213] and [214] also used UAVs with gas sensors to monitor air quality in urban areas in a three-dimensional manner. Xin et al [213] used a UAV to monitor the vertical distribution of PM2.5 near the ground in Xi'an, Shaanxi Province, China.…”

Section: Urban Environmental Pollution Monitoringmentioning

confidence: 99%

“…The monitoring results demonstrate the general pattern of PM2.5 distribution, which can help urban planners optimize urban spatial planning. Li et al [214] monitored eight sites in Shenyang City, Liaoning Province, China, for four days using a sensor-carrying UAV. Atmospheric pollutants monitored included SO2, NO2, PM1, PM2.5 and PM10.…”

Section: Urban Environmental Pollution Monitoringmentioning

confidence: 99%

A Survey on UAV Applications in Smart City Management: Challenges, Advances, and Opportunities

Xu,

Wang,

Han

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Smart management of urban space is an important way to achieve the goal of sustainable urban development. Unmanned aerial vehicles (UAVs) have been widely used in urban space management work and have greatly improved the level of it. UAV technology assisting urban space management involves many technical details and has generated a number of problems. Therefore, a systematic review of the applications of UAVs in urban spatial management work is very necessary and can provide a comprehensive reference for relevant researchers. This is conducive to the generation of more new insights, methods, and applications. However, according to our research, there is a lack of relevant systematic investigation. We screened and researched a large number of relevant literatures (about 230) with the help of search tools such as Web of Science and IEEE Explore, and combined with our own working experience to review and summarize the field in an all-round way. Taking the definition, needs, and challenges of urban spatial management as an entry point, this paper systematically summarizes the task flow, working paradigm, technical system, and application direction of UAV-assisted urban spatial management. It also takes our recently developed UAV urban management system as an example to provide an introduction on how to integrate advanced technologies such as UAV and artificial intelligence. Finally, this paper summarizes several concluding findings and proposes several future research directions. The research in this paper shows that UAV technology has already played a great role in urban spatial management work, but it is still far from realizing automation and intelligence, and it needs to continue to make efforts in terms of methods, systems, applications, and policies. In order to achieve these goals, UAV technology can be further integrated with advanced technologies such as deep learning, more types of UAV industry applications can be carried out, more functional UAS can be developed, and better management policies can be formulated.

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“…Satellite-derived measurements of formaldehyde (CH 2 O) and nitrogen dioxide (NO 2 ) column densities have been widely used to investigate regional and temporal variations in VOCs and NO x emission rates, respectively. The utilization of satellite indicators entails inherent uncertainties, such as errors in satellite retrievals, lack of vertically resolved data, and lack of establishment of thresholds for NO x /VOC-limited regimes [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Ozone production over arid regions: insights into meteorological and chemical drivers

Mirrezaei,

Arellano,

Guo

et al. 2024

Environ. Res. Commun.

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Arid urban areas are pivotal in the global landscape, and their air quality issues are highlighted by the complexities of tropospheric ozone production. Here, we use recent satellite observations from TROPOMI and a longer record of data from OMI to investigate the levels of ozone precursors (NO2 and CH2O) in 12 major cities in arid regions. Using a space-based CH2O/NO2 indicator, we identified the dominant chemical regime influencing ozone formation, revealing a clear temporal trend that aligns with previously reported economic trajectories as well as variation in emission control strategies implemented in these cities. Our results show that, NO2 concentrations decreased in cities with proactive regulatory policies, such as Madrid and Los Angeles in semi-arid and arid regions. A contrasting increase was observed in rapidly developing cities within arid and hyper-arid regions, such as Tehran and Cairo, where emission controls are less strict. An increase in CH2O levels was also apparent, requiring more attention to VOCs control. Furthermore, our analysis clearly shows that the interactions between ozone production and climatic factors such as temperature exhibit a nonlinear relationship, especially in arid climates. These findings highlight the importance of emission reduction strategies that consider the meteorological and chemical drivers of dry regions, particularly in light of the rising global aridity.

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Investigating the vertical distribution patterns of urban air pollution based on unmanned aerial vehicle gradient monitoring

Cited by 21 publications

References 57 publications

A Community-Based Sensor Network for Monitoring the Air Quality in Urban Romania

A Community-Based Sensor Network for Monitoring the Air Quality in Urban Romania

A Survey on UAV Applications in Smart City Management: Challenges, Advances, and Opportunities

Ozone production over arid regions: insights into meteorological and chemical drivers

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