Dynamic 3D mapping of airborne pollutants using UAV with multiple data sensing instrument

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F25%3A00641954" target="_blank" >RIV/68378271:_____/25:00641954 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-032-02508-1_11" target="_blank" >http://dx.doi.org/10.1007/978-3-032-02508-1_11</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-032-02508-1_11" target="_blank" >10.1007/978-3-032-02508-1_11</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamic 3D mapping of airborne pollutants using UAV with multiple data sensing instrument

Popis výsledku v původním jazyce

Unmanned Aerial Vehicles (UAVs) are increasingly utilized for air quality monitoring due to their ability to access challenging environments and provide three-dimensional pollution profiles. This study explores UAV-based measurements of particulate matter (PM), CO2, volatile organic compounds (VOCs), and other pollutants across diverse terrains in the southeastern part of Prague, including fields, highways, and forests. A novel sensor shielding design was implemented to mitigate rotor-induced airflow interference, ensuring measurement accuracy. Data acquisition involved multiple altitude profiles and vertical sampling near pollution sources, with meteorological conditions fac-tored into the analysis. Results revealed pollutant distributions influenced by terrain and wind direction, such as elevated PM concentrations near highways and forests. The study confirms the effectiveness of UAVs for dynamic air-borne sampling while addressing challenges like rotor effects and spatial data processing. These findings highlight UAVs' potential for environmental moni-toring and underscore their role in advancing air quality research.

Název v anglickém jazyce

Dynamic 3D mapping of airborne pollutants using UAV with multiple data sensing instrument

Popis výsledku anglicky

Unmanned Aerial Vehicles (UAVs) are increasingly utilized for air quality monitoring due to their ability to access challenging environments and provide three-dimensional pollution profiles. This study explores UAV-based measurements of particulate matter (PM), CO2, volatile organic compounds (VOCs), and other pollutants across diverse terrains in the southeastern part of Prague, including fields, highways, and forests. A novel sensor shielding design was implemented to mitigate rotor-induced airflow interference, ensuring measurement accuracy. Data acquisition involved multiple altitude profiles and vertical sampling near pollution sources, with meteorological conditions fac-tored into the analysis. Results revealed pollutant distributions influenced by terrain and wind direction, such as elevated PM concentrations near highways and forests. The study confirms the effectiveness of UAVs for dynamic air-borne sampling while addressing challenges like rotor effects and spatial data processing. These findings highlight UAVs' potential for environmental moni-toring and underscore their role in advancing air quality research.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10306 - Optics (including laser optics and quantum optics)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference on Reliable Systems Engineering (ICoRSE) - 2025

ISBN

978-3-032-02508-1

ISSN

—

e-ISSN

—

Počet stran výsledku

14

Strana od-do

120-132

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Bukurešť

Datum konání akce

4. 9. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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