Budde, M.* ; Riedel, T.* ; Beigl, M.* ; Schäfer, K.* ; Emeis, S.* ; Cyrys, J. ; Schnelle-Kreis, J. ; Philipp, A.* ; Ziegler, V.* ; Grimm, H.* ; Gratza, T.*
SmartAQnet: Remote and in-situ sensing of urban air quality.
Proc. SPIE 10424:104240C (2017)
Air quality and the associated subjective and health-related quality of life are among the important topics of urban life in 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. In addition to novel analytics, a prototypical technology stack is planned which, through modern analytics methods and Big Data and IoT technologies, enables application in a scalable way.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Air Quality Monitoring ; Big Data Analytics ; Environmental Sensing ; Mobile Computing ; Modeling
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2017
Prepublished im Jahr
HGF-Berichtsjahr
2017
ISSN (print) / ISBN
0277-786X
e-ISSN
1996-756X
ISBN
Bandtitel
Konferenztitel
Remote Sensing of Clouds and the Atmosphere XXII 2017
Konferzenzdatum
12-14 September 2017
Konferenzort
Warsaw; Poland
Konferenzband
Quellenangaben
Band: 10424,
Heft: ,
Seiten: ,
Artikelnummer: 104240C
Supplement: ,
Reihe
Verlag
SPIE
Verlagsort
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30202 - Environmental Health
Forschungsfeld(er)
Genetics and Epidemiology
Environmental Sciences
PSP-Element(e)
G-504000-004
G-504500-001
Förderungen
Copyright
Erfassungsdatum
2018-02-08