Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Schlerf, Andreas; Bretschneider, Lutz; Schuchard, Malte; Düsing, Sebastian; Käthner, Ralf; Wehner, Birgit; Schuldt, Tobias; Wesolek, Christian; Tillmann, Ralf; Lange, Anne Caroline; Erraji, Hassnae; Krüger, Thomas; Scholz, Hendrik; Frost, Paul; Sobotta, André; Baum, Anja; Ebert, Volker; Bohlius, Henning; Nowak, Andreas; Langner, Marcel; Lampert, Astrid (2024): Drone air quality measurements during flight MesSBAR_2021-09-23_flight1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.971549, In: Schlerf, A et al. (2024): Validation and optimization of the drone air quality measurement system MesSBAR [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.971503

Always quote citation above when using data! You can download the citation in several formats below.

Published: 2024-08-09DOI registered: 2024-09-07

RIS CitationBibTeX Citation ShareShow MapGoogle Earth

Abstract:
In the project MesSBAR (Automated airborne measurement of pollution in the near-earth atmosphere in urban areas), unmanned aerial systems and specially adapted air quality measurement technology were developed to carry out measurements upwind and downwind of pollution sources in urban areas, industrial plants and traffic routes.
To validate and optimise the measurement technology and flight systems, two short measurement campaigns were carried out in 2021 near Wesseling next to the motorway A555 (North Rhine-Westphalia - Germany). There, the Federal Highway Research Institute (BASt) operates two measurement containers next to the motorway, which were used for the validation. Various flight profiles were tested. It was found that only for vertical ascents at a constant speed, useful results of the air quality measurements could be determined. The measurement data from these flights are published in this data publication.
Keyword(s):
aerosol; air quality measurements; black carbon; Drone; measurements next to motorway; MesSBAR; multicopter; NOx; ozone
Related to:
Bretschneider, Lutz; Schlerf, Andreas; Baum, Anja; Bohlius, Henning; Buchholz, Marcel; Düsing, Sebastian; Ebert, Volker; Erraji, Hassnae; Frost, Paul; Käthner, Ralf; Krüger, Thomas; Lange, Anne Caroline; Langner, Marcel; Nowak, Andreas; Pätzold, Falk; Rüdiger, Julian; Saturno, Jorge; Scholz, Hendrik; Schuldt, Tobias; Seldschopf, Rickmar; Sobotta, Andre; Tillmann, Ralf; Wehner, Birgit; Wesolek, Christian; Wolf, Katharina; Lampert, Astrid (2022): MesSBAR—Multicopter and Instrumentation for Air Quality Research. Atmosphere, 13(4), 629, https://doi.org/10.3390/atmos13040629
Erraji, Hassnae; Franke, Philipp; Lampert, Astrid; Schuldt, Tobias; Tillmann, Ralf; Wahner, Andreas; Lange, Anne Caroline (preprint): The potential of drone observations to improve air quality predictions by 4D-var. https://doi.org/10.5194/egusphere-2024-517
Schlerf, Andreas; Bretschneider, Lutz; Lampert, Astrid; Baum, Anja; Buchholz, Marcel; Seldschopf, Rickmar; Sobotta, André; Bohlius, Henning; Del, Angelina; Ebert, Volker; Kim, Mi Eon; Nowak, Andreas; Rüdiger, Julian; Düsing, Sebastian; Käthner, Ralf; Wehner, Birgit; Erraji, Hassnae; Grasse, Achim; Lange, Anne Caroline; Schuldt, Tobias; Tillmann, Ralf; Wesolek, Christian; Langner, Marcel; Wallek, Stefan; Frost, Paul; Krüger, Thomas; Scholz, Hendrik (2022): Multikopter als fliegende Luftschadstoffmessstationen? Immissionsschutz, (3), 5, https://doi.org/10.37307/j.1868-7776.2022.03.05
Schuldt, Tobias; Gkatzelis, Georgios I; Wesolek, Christian; Rohrer, Franz; Winter, Benjamin; Kuhlbusch, Thomas A J; Kiendler-Scharr, Astrid; Tillmann, Ralf (2023): Electrochemical sensors on board a Zeppelin NT: in-flight evaluation of low-cost trace gas measurements. Atmospheric Measurement Techniques, 16(2), 373-386, https://doi.org/10.5194/amt-16-373-2023
Funding:
Federal Ministry of Education and Research (BMBF), grant/award no. 19F2097A: MesSBAR
Coverage:
Latitude: 50.790800 * Longitude: 7.003900
Date/Time Start: 2021-09-23T05:01:23 * Date/Time End: 2021-09-23T05:06:28
Minimum ALTITUDE: 64.7 m * Maximum ALTITUDE: 340.5 m
Event(s):
MesSBAR_2021-09-23_flight1 * Latitude Start: 50.790800 * Longitude Start: 7.003900 * Latitude End: 50.790800 * Longitude End: 7.003900 * Date/Time Start: 2021-09-23T05:01:21 * Date/Time End: 2021-09-23T05:06:31 * Method/Device: Unmanned aerial vehicle (UAV)
Comment:
Measuring chamber (MC) vs. Inlet measurements:
The MC is located inside the measurement payload and is supplied with the air taken in at the inlet by means of a pump. We did this in order to obtain an undisturbed air sample. In order to be able to detect differences between the air at the inlet and in the measuring chamber, we placed two identical temperature and humidity sensors, one at the inlet and one in the measuring chamber. We have used the measured variables with Inlet and MC to differentiate between them.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeSchlerf, AndreasGeocode
2ALTITUDEAltitudemSchlerf, Andreasfrom the GNSS module GPS (GPS-16481)Geocode
3LATITUDELatitudeSchlerf, AndreasGeocode
4LONGITUDELongitudeSchlerf, AndreasGeocode
5Roll angleRolldegSchlerf, Andreas
6Pitch anglePitchdegSchlerf, Andreas
7Short-wave downward (GLOBAL) radiationSWDW/m2Schlerf, AndreasPyranometer, EKO Instruments Co., ML-02 Si [400 - 1100 nm]
8Short-wave upward (REFLEX) radiationSWUW/m2Schlerf, AndreasPyranometer, EKO Instruments Co., ML-02 Si [400 - 1100 nm]
9Pressure, atmosphericPPPPhPaSchlerf, Andreas
10Temperature, technicalT tech°CSchlerf, Andreasp-sensor
11Temperature, airTTT°CSchlerf, AndreasSee description in dataset commentMC
12Humidity, relativeRH%Schlerf, AndreasSee description in dataset commentMC
13Dew/frost pointTdTdTd°CSchlerf, AndreasSee description in dataset commentMC
14Temperature, airTTT°CSchlerf, AndreasSee description in dataset commentInlet
15Humidity, relativeRH%Schlerf, AndreasSee description in dataset commentInlet
16Dew/frost pointTdTdTd°CSchlerf, AndreasSee description in dataset commentInlet
17Nitrogen oxideNOxppbvSchuldt, Tobias
18Nitrogen oxide, standard deviationNOx std dev±Schuldt, Tobias
19OzoneO3ppbvSchuldt, Tobias
20Ozone, standard deviationO3 std dev±Schuldt, Tobias
21Particulate matter, < 1 µmPM1µg/m3Düsing, SebastianMean
22Particulate matter, < 2.5 µmPM2.5µg/m3Düsing, SebastianMean
23Particulate matter, < 10 µmPM10µg/m3Düsing, SebastianMean
24Black carbon, equivalenteBCµg/m3Düsing, Sebastian
25Humidity, relativeRH%Schlerf, AndreasMean
26Temperature, air, potentialTHETAKSchlerf, AndreasMean
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1225 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML