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Smart Air Quality Network for spatial high-resolution monitoring in urban area

Schäfer, Klaus; Budde, Matthias 1; Cyrys, Josef; Emeis, Stefan ORCID iD icon 2; Gratza, Thomas; Grimm, Hans; Hank, Marcus; Hinterreiter, Stefan; Pesch, Markus; Petersen, Erik; Philipp, Andreas; Redelstein, Johanna; Riedel, Till ORCID iD icon 1; Riesterer, Johannes 1; Schnelle-Kreis, Jürgen; Ziegler, Volker; Beigl, Michael 1; Münkel, Christoph; Uhrner, U.; ... mehr

Abstract:

A pragmatic, data driven approach, which for the first time combines existing in situ and remote sensing data sets with a
networked mobile air pollutant measurement strategy in the urban space is an objective of the Smart Air Quality
Network (SmartAQnet) project. It aims to implement an intelligent, reproducible, finely-tuned (spatial, temporal), yet
cost-effective air quality measuring network, initially in the model region of Augsburg, Germany. Central to this is the
development and utilization of partial, already existing (but not yet combined) data on the one hand and the collection
and integration of relevant missing data on the other hand. Unmanned aerial vehicles (UAV) with low-weight
meteorological sensors and particle counter are used to monitor the three-dimensional dynamics of the lower atmosphere.
Ground-based remote sensing by ceilometer for mixing layer height detection as well as a Radio-Acoustic Sounding
System (RASS) for temperature and wind profile measurements at the University campus complete the new network
architecture and UAV height profiling of atmospheric parameters.
The SmartAQnet research initiative focuses on the subject of data access and data-based applications. ... mehr


Originalveröffentlichung
DOI: 10.1117/12.2325756
Scopus
Zitationen: 2
Dimensions
Zitationen: 1
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 10.2018
Sprache Englisch
Identifikator ISBN: 978-1-5106-2155-8
KITopen-ID: 1000104283
HGF-Programm 12.02.04 (POF III, LK 01) Urban-Rural Interactions
Erschienen in SPIE Remote Sensing of Clouds and the Atmosphere XXIII, Berlin, Germany, 12-13 September 2018. Ed.: A. Comerón
Veranstaltung SPIE Remote Sensing (2018), Berlin, Deutschland, 11.09.2018 – 12.09.2018
Verlag Society of Photo-optical Instrumentation Engineers (SPIE)
Seiten 107860B
Serie Proceedings of SPIE ; 10786
Projektinformation SmartAQnet; TP TECO (BMDV, 19F2003A)
SmartAQnet (BMDV, 19F2003B)
Bemerkung zur Veröffentlichung Teilkonferenz
Schlagwörter air quality, environmental sensing, exposure, emissions, ceilometer, UAV
Nachgewiesen in Scopus
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