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Spatiotemporal characteristics and driving factors of black carbon iv Augsburg, Germany: Combination of mobile monitoring and street view images.

Environ. Sci. Technol. 55, 160-168 (2021)
Verlagsversion DOI
Open Access Green: Postprint online verfügbar 12/2021
The study investigates the spatial pattern of black carbon (BC) at a high spatial resolution in Augsburg, Germany. Sixty two walks were performed to assess the concentrations of equivalent black carbon (eBC), ultraviolet particulate matter (UVPM), and equivalent brown carbon (eBrC) in different seasons and at different times of the day with a mobile platform (i.e., trolley). Along with BC measurements, images of street microenvironments were recorded. Meteorological parameters, including temperature, relative humidity, and wind speed, were monitored. The BC concentrations showed significant spatial heterogeneity and diurnal variations peaking in the morning and at night. The highest BC concentrations were observed near dense traffic. The correlations between BC and street views (buildings, roads, cars, and vegetation) were weak but highly significant. Moreover, meteorological factors also influenced the BC concentration. A model based on street view images and meteorological data was developed to examine the driving factors of the spatial variability of BC concentrations at a higher spatial resolution as different microenvironments based on traffic density. The best results were obtained for UVPM and eBC (71 and 70% explained variability). eBrC (53%), to which other sources besides road traffic can also make significant contributions, is modeled less well.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Pollution Particle Number; Air-pollution; Ultrafine Particles; Particulate Matter; Land-use; Light-absorption; Real-time; Urban; Exposure; Pm2.5
ISSN (print) / ISBN 0013-936X
e-ISSN 1520-5851
Quellenangaben Band: 55, Heft: 1, Seiten: 160-168 Artikelnummer: , Supplement: ,
Verlag ACS
Verlagsort Washington, DC
Begutachtungsstatus Peer reviewed
Förderungen Support Project of High-Level Teachers in Beijing Municipal Universities in the Period of 13th Five-Year Plan
China Scholarship Council (CSC) under the State Scholarship Fund
Germany Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of SmartAQnet
Research Project of the Ministry of Science and Technology of China