Validation and optimization of the drone air quality measurement system MesSBAR
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, industr...
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creator | 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 |
description | 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. |
doi_str_mv | 10.1594/pangaea.971503 |
format | Dataset |
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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.</description><identifier>DOI: 10.1594/pangaea.971503</identifier><language>eng</language><publisher>PANGAEA</publisher><subject>aerosol ; air quality measurements ; Automatisierte luftgestützte Messung der Schadstoffbelastung in der erdnahen Atmosphäre in urbanen Räumen (MesSBAR) ; black carbon ; Drone ; measurements next to motorway ; MesSBAR ; multicopter ; NOx ; ozone</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-6789-7487 ; 0000-0003-0648-6622 ; 0000-0003-1414-1616 ; 0000-0002-5384-6128</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.1594/pangaea.971503$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Schlerf, Andreas</creatorcontrib><creatorcontrib>Bretschneider, Lutz</creatorcontrib><creatorcontrib>Schuchard, Malte</creatorcontrib><creatorcontrib>Düsing, Sebastian</creatorcontrib><creatorcontrib>Käthner, Ralf</creatorcontrib><creatorcontrib>Wehner, Birgit</creatorcontrib><creatorcontrib>Schuldt, Tobias</creatorcontrib><creatorcontrib>Wesolek, Christian</creatorcontrib><creatorcontrib>Tillmann, Ralf</creatorcontrib><creatorcontrib>Lange, Anne Caroline</creatorcontrib><creatorcontrib>Erraji, Hassnae</creatorcontrib><creatorcontrib>Krüger, Thomas</creatorcontrib><creatorcontrib>Scholz, Hendrik</creatorcontrib><creatorcontrib>Frost, Paul</creatorcontrib><creatorcontrib>Sobotta, André</creatorcontrib><creatorcontrib>Baum, Anja</creatorcontrib><creatorcontrib>Ebert, Volker</creatorcontrib><creatorcontrib>Bohlius, Henning</creatorcontrib><creatorcontrib>Nowak, Andreas</creatorcontrib><creatorcontrib>Langner, Marcel</creatorcontrib><creatorcontrib>Lampert, Astrid</creatorcontrib><title>Validation and optimization of the drone air quality measurement system MesSBAR</title><description>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.</description><subject>aerosol</subject><subject>air quality measurements</subject><subject>Automatisierte luftgestützte Messung der Schadstoffbelastung in der erdnahen Atmosphäre in urbanen Räumen (MesSBAR)</subject><subject>black carbon</subject><subject>Drone</subject><subject>measurements next to motorway</subject><subject>MesSBAR</subject><subject>multicopter</subject><subject>NOx</subject><subject>ozone</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2024</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVjr0KwkAQhK-xELW13hcw5ohBUqooNiKo2B6L2ehC7se7SxGf3kjyAlYDw3zMJ8RcponMi9XSoXkiYVKsZZ5mY3G-Y80lRrYG0JRgXWTNn76wFcQXQemtIUD28G66dWxBE4bGkyYTIbQhkoYThet2c5mKUYV1oNmQE5Ec9rfdcdF94IMjKedZo2-VTNXPSA1GqjfK_ga-l0hG0w</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Schlerf, Andreas</creator><creator>Bretschneider, Lutz</creator><creator>Schuchard, Malte</creator><creator>Düsing, Sebastian</creator><creator>Käthner, Ralf</creator><creator>Wehner, Birgit</creator><creator>Schuldt, Tobias</creator><creator>Wesolek, Christian</creator><creator>Tillmann, Ralf</creator><creator>Lange, Anne Caroline</creator><creator>Erraji, Hassnae</creator><creator>Krüger, Thomas</creator><creator>Scholz, Hendrik</creator><creator>Frost, Paul</creator><creator>Sobotta, André</creator><creator>Baum, Anja</creator><creator>Ebert, Volker</creator><creator>Bohlius, Henning</creator><creator>Nowak, Andreas</creator><creator>Langner, Marcel</creator><creator>Lampert, Astrid</creator><general>PANGAEA</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0002-6789-7487</orcidid><orcidid>https://orcid.org/0000-0003-0648-6622</orcidid><orcidid>https://orcid.org/0000-0003-1414-1616</orcidid><orcidid>https://orcid.org/0000-0002-5384-6128</orcidid></search><sort><creationdate>2024</creationdate><title>Validation and optimization of the drone air quality measurement system MesSBAR</title><author>Schlerf, Andreas ; 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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.</abstract><pub>PANGAEA</pub><doi>10.1594/pangaea.971503</doi><orcidid>https://orcid.org/0000-0002-6789-7487</orcidid><orcidid>https://orcid.org/0000-0003-0648-6622</orcidid><orcidid>https://orcid.org/0000-0003-1414-1616</orcidid><orcidid>https://orcid.org/0000-0002-5384-6128</orcidid><oa>free_for_read</oa></addata></record> |
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identifier | DOI: 10.1594/pangaea.971503 |
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subjects | aerosol air quality measurements Automatisierte luftgestützte Messung der Schadstoffbelastung in der erdnahen Atmosphäre in urbanen Räumen (MesSBAR) black carbon Drone measurements next to motorway MesSBAR multicopter NOx ozone |
title | Validation and optimization of the drone air quality measurement system MesSBAR |
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