Using unmanned aerial vehicle to investigate the vertical distribution of fine particulate matter

Wang, D.; Wang, Zhiwei; Peng, Zhong-Ren

doi:10.1007/s13762-019-02449-6

Cited by 17 publications

(7 citation statements)

References 43 publications

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“…The portable instruments installed on the two UAV platforms were identical. For detailed information about the UAV platform and instruments, the reader is referred to Wang et al [21]. Portable instruments were mounted on the UAV platforms to measure air pollutant concentrations and meteorological parameters ( Figure 1c).…”

Section: Platform and Instrumentationmentioning

confidence: 99%

“…The portable instruments installed on the two UAV platforms were identical. For detailed information about the UAV platform and instruments, the reader is referred to Wang et al [21]. Figure 2) is situated about 2 km to the southwest of the Feng'xian Campus of East China University of Science and Technology (ECUST).…”

Section: Platform and Instrumentationmentioning

confidence: 99%

“…Thus, variations of air pollutants are completely recorded from the ground level to several kilometers high. Regular vertical observation platforms could be grouped into fixed-location platforms (ozone LiDARs [10,11], towers [8], et al), and air-borne platforms (sounding balloons [12][13][14], tethered balloon [15][16][17], unmanned aerial vehicles (UAV) [18][19][20][21][22], et al). Each platform has its own merits and limitations.…”

Section: Introductionmentioning

confidence: 99%

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Vertical Characteristics of Winter Ozone Distribution within the Boundary Layer in Shanghai Based on Hexacopter Unmanned Aerial Vehicle Platform

Chen

Wang

et al. 2019

Sustainability

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Ozone is an important secondary air pollutant and plays different significant roles in regulating the formation of secondary organic aerosols. However, the characteristics of winter vertical ozone distributions have rarely been studied. In the winter of 2017, field experiments were performed in Shanghai, China using hexacopter unmanned aerial vehicle (UAV) platforms. The vertical profiles of ozone were obtained from 0–1200 m above the ground level. Results show that the UAV observations were reliable to capture the vertical variations of ozone. Vertical ozone profiles in the winter are classified into four categories: (1) well-mixed profile, (2) altitudinal increasing profile, (3) stratification profile, and (4) spike profile. Results show that although the average surface ozone level was relatively low, strong ozone variability and high ozone concentrations occurred at the upper air. The maximum observed ozone concentration was 220 ppb. In addition, using meteorological profiles and backward trajectories, we found that the ozone elevation aloft can be attributed to the downward transport of air flow from higher altitudes. Furthermore, ozone accumulation in the winter could be influenced by the horizontal transport of air masses for the northern part of China. This study successfully used hexacopter UAV platforms to perform vertical observations within the boundary layer. This provides systematic classification of winter ozone distribution within the boundary layer.

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Section: Platform and Instrumentationmentioning

confidence: 99%

“…The portable instruments installed on the two UAV platforms were identical. For detailed information about the UAV platform and instruments, the reader is referred to Wang et al [21]. Figure 2) is situated about 2 km to the southwest of the Feng'xian Campus of East China University of Science and Technology (ECUST).…”

Section: Platform and Instrumentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vertical Characteristics of Winter Ozone Distribution within the Boundary Layer in Shanghai Based on Hexacopter Unmanned Aerial Vehicle Platform

Chen

Wang

et al. 2019

Sustainability

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“…Chang et al [17], Zhu et al [18], and Chang et al [19] investigated the long-range transport of air masses and pollutants using the HYSPLIT model and compared the UAV measurement data under different cases of long-range transport. Wang et al [20] used the HYSPLIT model to find out the origin of the air mass to understand the observations made using UAV.…”

Section: Introductionmentioning

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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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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“…Many studies have been conducted using these types of sensors for air pollution monitoring in various environments. For example, UAVs were used to study the vertical profiles of various air pollutants such as fine particulate matter and black carbon by [ 15 , 16 , 17 , 18 , 19 , 20 ]. Additionally, Li et al [ 21 ] studied both the vertical and horizontal spatial distributions of PM2.5 and Ozone in an urban environment using a UAV-based air pollution monitoring system.…”

Section: Introductionmentioning

confidence: 99%

UAV-Based Wildland Fire Air Toxics Data Collection and Analysis

Ragbir

Kaduwela

Passovoy³

et al. 2023

Sensors

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Smoke plumes emitted from wildland-urban interface (WUI) wildfires contain toxic chemical substances that are harmful to human health, mainly due to the burning of synthetic components. Accurate measurement of these air toxics is necessary for understanding their impacts on human health. However, air pollution is typically measured using ground-based sensors, manned airplanes, or satellites, which all provide low-resolution data. Unmanned Aerial Vehicles (UAVs) have the potential to provide high-resolution spatial and temporal data due to their ability to hover in specific locations and maneuver with precise trajectories in 3-D space. This study investigates the use of an octocopter UAV, equipped with a customized air quality sensor package and a volatile organic compound (VOC) air sampler, for the purposes of collecting and analyzing air toxics data from wildfire plumes. The UAV prototype developed has been successfully tested during several prescribed fires conducted by the California Department of Forestry and Fire Protection (CAL FIRE). Data from these experiments were analyzed with emphasis on the relationship between the air toxics measured and the different types of vegetation/fuel burnt. BTEX compounds were found to be more abundant for hardwood burning compared to grassland burning, as expected.

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Using unmanned aerial vehicle to investigate the vertical distribution of fine particulate matter

Cited by 17 publications

References 43 publications

Vertical Characteristics of Winter Ozone Distribution within the Boundary Layer in Shanghai Based on Hexacopter Unmanned Aerial Vehicle Platform

Vertical Characteristics of Winter Ozone Distribution within the Boundary Layer in Shanghai Based on Hexacopter Unmanned Aerial Vehicle Platform

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

UAV-Based Wildland Fire Air Toxics Data Collection and Analysis

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