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SmartAQnet: remote and in-situ sensing of urban air quality

Budde, Matthias 1; Riedel, Till ORCID iD icon 1; Beigl, Michael 1; Schäfer, Klaus; Emeis, Stefan ORCID iD icon 2; Cyrys, Josef; Schnelle-Kreis, Jürgen; Philipp, Andreas; Ziegler, Volker; Gratza, Thomas; Grimm, Hans; Gratza, Thomas
1 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)


our time. However, it is very difficult for many cities to take measures to accommodate today’s needs concerning e.g.
mobility, housing and work, because a consistent fine-granular data and information on causal chains is largely missing.
This has the potential to change, as today, both large-scale basic data as well as new promising measuring approaches are
becoming available.
The project “SmartAQnet”, funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI), is
based on a pragmatic, data driven approach, which for the first time combines existing data sets with a networked mobile
measurement strategy in the urban space. By connecting open data, such as weather data or development plans, remote
sensing of influencing factors, and new mobile measurement approaches, such as participatory sensing with low-cost
sensor technology, “scientific scouts” (autonomous, mobile smart dust measurement device that is auto-calibrated to a
high-quality reference instrument within an intelligent monitoring network) and demand-oriented measurements by
light-weight UAVs, a novel measuring and analysis concept is created within the model region of Augsburg, Germany.
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Postprint §
DOI: 10.5445/IR/1000104284
Veröffentlicht am 25.04.2022
DOI: 10.1117/12.2282698
Zitationen: 16
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Telematik (TM)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 10.2017
Sprache Englisch
Identifikator ISBN: 978-1-5106-1313-3
KITopen-ID: 1000104284
HGF-Programm 12.02.04 (POF III, LK 01) Urban-Rural Interactions
Erschienen in Remote Sensing of Clouds and the Atmosphere XXII. Ed.: A. Comeron
Veranstaltung SPIE Remote Sensing (2017), Warschau, Polen, 11.09.2017 – 14.09.2017
Verlag Society of Photo-optical Instrumentation Engineers (SPIE)
Seiten 12
Serie SPIE Proceedings ; 10424
Projektinformation SmartAQnet; TP TECO (BMDV, 19F2003A)
SmartAQnet (BMDV, 19F2003B)
Schlagwörter air quality monitoring, environmental sensing, big data analytics, mobile computing, modeling
Nachgewiesen in Scopus
Globale Ziele für nachhaltige Entwicklung Ziel 3 – Gesundheit und WohlergehenZiel 11 – Nachhaltige Städte und Gemeinden
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