Ultra-Light Airborne Measurement System for Investigation of Urban Boundary Layer Dynamics

Sekula, Piotr; Zimnoch, Mirosław; Bartyzel, Jakub; Bokwa, Anita; Kud, Michał; Necki, Jaroslaw

doi:10.3390/s21092920

Cited by 7 publications

(3 citation statements)

References 50 publications

(63 reference statements)

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“…One of the main trends in low-altitude sensing, i.e., to heights of about 500 m, is the development of methods for diagnostics of the turbulent atmosphere with UAVs. The results of diagnostics of the speed of air mass flows with UAVs are reported in [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. In [36][37][38][39][40][41][42][43][44][45][46][47], the fundamental possibility of measuring the turbulence spectra with fixed-wing UAVs of various sizes and weights was shown.…”

Section: Introductionmentioning

confidence: 99%

Low-Altitude Sensing of Urban Atmospheric Turbulence with UAV

Shelekhov

Afanasiev

Shelekhova

et al. 2022

Drones

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The capabilities of a quadcopter in the hover mode for low-altitude sensing of atmospheric turbulence with high spatial resolution in urban areas characterized by complex orography are investigated. The studies were carried out in different seasons (winter, spring, summer, and fall), and the quadcopter hovered in the immediate vicinity of ultrasonic weather stations. The DJI Phantom 4 Pro quadcopter and AMK-03 ultrasonic weather stations installed in different places of the studied territory were used in the experiment. The smoothing procedure was used to study the behavior of the longitudinal and lateral spectra of turbulence in the inertial and energy production ranges. The longitudinal and lateral turbulence scales were estimated by the least-square fit method with the von Karman model as a regression curve. It is shown that the turbulence spectra obtained with DJI Phantom 4 Pro and AMK-03 generally coincide, with minor differences observed in the high-frequency region of the spectrum. In the inertial range, the behavior of the turbulence spectra shows that they obey the Kolmogorov–Obukhov “5/3” law. In the energy production range, the longitudinal and lateral turbulence scales and their ratio measured by DJI Phantom 4 Pro and AMK-03 agree to a good accuracy. Discrepancies in the data obtained with the quadcopter and the ultrasonic weather stations at the territory with complex orography are explained by the partial correlation of the wind velocity series at different measurement points and the influence of the inhomogeneous surface.

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Section: Introductionmentioning

confidence: 99%

Low-Altitude Sensing of Urban Atmospheric Turbulence with UAV

Shelekhov

Afanasiev

Shelekhova

et al. 2022

Drones

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“…The auxiliary stationary measurements are described in the next chapter. The AirDust system and the acoustic wind sensor TriSonica TM were dedicated for measurement with the use of unmanned aerial vehicle (Sekuła et al, 2021c). To provide meteorological sensor redundancy during the balloon campaigns, the Mini Weather Station (HY-WDC6SE) was used.…”

Section: Sensors For Meteorological Parametersmentioning

confidence: 99%

Measurement report: Temporal variability of vertical profiles of CO₂ and CH₄ over urban environment

Zimnoch,

Gałkowski,

Sekuła

et al. 2024

Preprint

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Abstract. Understanding the boundary layer dynamics over urban areas is important to improve estimates of the emissions of greenhouse gases (GHG), and predict their atmospheric mole fractions in these areas. Here we present the results of the annual vertical profiling measurement campaign performed in Krakow (Southern Poland). The campaign consisted of 12 monthly-based diurnal measurements of CO2 and CH4 molar fraction vertical profiles supplemented by meteorological parameters focused on the investigation of the dynamics of nocturnal boundary layer vertical structure within the urban boundary layer. The profile data were collected using two platforms: (i) a tethered touristic balloon operating commercially in the city centre and (ii) a drone system, with the selection of the platform based on operational availability and meteorological conditions. CO2 and CH4 molar fractions were measured using Picarro G2311-f (Picarro Inc., Santa Clara, California, USA) cavity ring-down spectrometer, while the meteorological conditions along the profile were measured using a set of temperature, relative humidity, pressure and wind low-cost sensors dedicated for application on-board of UAV platforms. The obtained results allowed us to analyse in-depth the formation, development and disappearance of the nocturnal boundary layer. In selected profiles, a CO2 and CH4 plumes located over the inversion layer (150–250 m AGL) were detected during the nighttime and morning hours. The application of high-resolution numerical simulations using the WRF-GHG model made it possible to identify the source of CO2 plume as a power plant located ca. 10 km southwest of the balloon launch location.

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“…However, rapid urbanization construction is mainly driven by capital, which inevitably leads to the disorderly expansion of cities. The direct manifestation of a disorderly expansion is those cities constantly consumes rural land resources, and the use rate of these resources is very low [ 3 , 4 ]. Therefore, the accurate delineation of the urban–rural boundary can be used to effectively curb the rural resource plundering by urban areas, and improve the relationship between urban and rural areas, so as to promote the intensive use of urban resources and achieve the healthy development of cities [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Delineation of the Urban-Rural Boundary through Data Fusion: Applications to Improve Urban and Rural Environments and Promote Intensive and Healthy Urban Development

Zhang

Yuan

Tan

et al. 2021

IJERPH

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As one of the most important methods for limiting urban sprawl, the accurate delineation of the urban–rural boundary not only promotes the intensive use of urban resources, but also helps to alleviate the urban issues caused by urban sprawl, realizing the intensive and healthy development of urban cities. Previous studies on delineating urban–rural boundaries were only based on the level of urban and rural development reflected by night-time light (NTL) data, ignoring the differences in the spatial development between urban and rural areas; so, the comprehensive consideration of NTL and point of interest (POI) data can help improve the accuracy of urban–rural boundary delineation. In this study, the NTL and POI data were fused using wavelet transform, and then the urban–rural boundary before and after data fusion was delineated by multiresolution segmentation. Finally, the delineation results were verified. The verification result shows that the accuracy of delineating the urban–rural boundary using only NTL data is 84.20%, and the Kappa value is 0.6549; the accuracy using the fusion of NTL and POI data on the basis of wavelet transform is 93.2%, and the Kappa value is 0.8132. Therefore, we concluded that the proposed method of using wavelet transform to fuse NTL and POI data considers the differences between urban and rural development, which significantly improves the accuracy of the delineation of urban–rural boundaries. Accurate delineation of urban–rural boundaries is helpful for optimizing internal spatial structure in both urban and rural areas, alleviating environmental problems resulting from urban development, assisting the formulation of development policies for urban and rural fringes, and promoting the intensive and healthy development of urban areas.

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Ultra-Light Airborne Measurement System for Investigation of Urban Boundary Layer Dynamics

Cited by 7 publications

References 50 publications

Low-Altitude Sensing of Urban Atmospheric Turbulence with UAV

Low-Altitude Sensing of Urban Atmospheric Turbulence with UAV

Measurement report: Temporal variability of vertical profiles of CO₂ and CH₄ over urban environment

Delineation of the Urban-Rural Boundary through Data Fusion: Applications to Improve Urban and Rural Environments and Promote Intensive and Healthy Urban Development

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Ultra-Light Airborne Measurement System for Investigation of Urban Boundary Layer Dynamics

Cited by 7 publications

References 50 publications

Low-Altitude Sensing of Urban Atmospheric Turbulence with UAV

Low-Altitude Sensing of Urban Atmospheric Turbulence with UAV

Measurement report: Temporal variability of vertical profiles of CO2 and CH4 over urban environment

Delineation of the Urban-Rural Boundary through Data Fusion: Applications to Improve Urban and Rural Environments and Promote Intensive and Healthy Urban Development

Contact Info

Product

Resources

About

Measurement report: Temporal variability of vertical profiles of CO₂ and CH₄ over urban environment