Effect of urban underlying surface on PM2.5 vertical distribution based on UAV in Xi’an, China

Xin, Kai; Zhao, Jingyuan; Ma, Xuan; Han, Li; Liu, Yanyu; Zhang, Jianxin; Gao, Yuejing

doi:10.1007/s10661-021-09044-8

Cited by 15 publications

(4 citation statements)

References 70 publications

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“…We observed that the concentration of PM 2.5 increased with altitude as shown in Figure 2. This result is different from the result presented by Xin et al who observed negative relationship between PM 2.5 and altitude measured in China using a UAV [30]. Therefore, the relationship between PM 2.5 concentrations and altitude can be both positive and negative.…”

Section: Discussioncontrasting

confidence: 98%

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Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements

Hwang,

Lee,

Shin

et al. 2024

Remote Sensing

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The vertical air pollutant concentrations and their relationships with synoptic- and local-scale air movement have been studied. This study measured the vertical profiles of PM2.5 and O3 using an unmanned aerial vehicle during summer in South Korea and analyzed the characteristics of the measured profiles. To understand the impact of synoptic air movements, we generated and categorized the 48 h air trajectories based on HYSPLIT, and we analyzed how the vertical profiles varied under different categories of long-range transport. We found that the vertical PM2.5 concentration has a positive gradient with altitude when more polluted air was transported from China or North Korea and has negative gradient when cleaner air was transported from the East Sea. Unlike PM2.5, the O3 concentration did not depend significantly on the long-range transport scenario because of the short photochemical lifetime of O3 during summer. For local-scale air movements, we found no significant impact of local wind on the measured profiles.

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Section: Discussioncontrasting

confidence: 98%

“…The measured PM 2.5 was the highest at 7:00 and decreased thereafter. Xin et al [30] reported an increase in PM 2.5 concentrations between 8:00 and 11:00, a time when anthropogenic activities are active. However, this trend was not observed in our measurement.…”

Section: Discussionmentioning

confidence: 99%

Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements

Hwang,

Lee,

Shin

et al. 2024

Remote Sensing

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“…[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. The monitoring sites included water bodies, green areas, and urban built-up areas.…”

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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“…Related research has found that the air temperature of Earth is about 1.1 °C warmer than that it was in the late 1800s, and the past decade (2011–2020) has been the hottest period on record [ 4 ]. Moreover, climate change has caused a series of problems, such as reducing indoor and outdoor thermal comfort [ 5 ], endangering human health [ 6 , 7 , 8 ], aggravating air pollution [ 9 , 10 ], and increasing building energy consumption [ 11 ], etc. Besides, global climate change will accelerate the speed of photochemical reactions, increase the concentration of ozone in the near-surface atmosphere, and affect human health [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China

Xin

Zhao

Wang

et al. 2022

IJERPH

Self Cite

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China has the largest number of villages in the world, and research on rural microclimate will contribute to global climate knowledge. A three-by-three grid method was developed to explore village microclimates through field measurement and ENVI-met simulation. A regression model was used to explore the mechanistic relationship between microclimate and spatial morphology, and predicted mean vote (PMV) was selected to evaluate outdoor thermal comfort. The results showed that ENVI-met was able to evaluate village microclimate, as Pearson’s correlation coefficient was greater than 0.8 and mean absolute percentage error (MAPE) was from 2.16% to 3.79%. Moreover, the air temperature of west–east road was slightly higher than that of south–north, especially in the morning. The height-to-width ratio (H/W) was the most significant factor to affect air temperature compared to percentage of building coverage (PBC) and wind speed. In addition, H/W and air temperature had a relatively strong negative correlation when H/W was between 0.52 and 0.93. PMV indicated that the downwind edge area of prevailing wind in villages was relatively comfortable. This study provides data support and a reference for optimizing village land use, mediating the living environment, and promoting rural revitalization.

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Effect of urban underlying surface on PM2.5 vertical distribution based on UAV in Xi’an, China

Cited by 15 publications

References 70 publications

Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements

Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements

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

Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China

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