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Liu, X. ; Zhang, X.* ; Schnelle-Kreis, J. ; Jakobi, G. ; Cao, X. ; Cyrys, J. ; Yang, L.* ; Schloter-Hai, B. ; Abbaszade, G. ; Orasche, J. ; Khedr, M. ; Kowalski, M. ; Hank, M.* ; Zimmermann, R.

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)
Postprint DOI PMC
Open Access Green
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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Publication type Article: Journal article
Document type Scientific Article
Keywords Pollution Particle Number; Air-pollution; Ultrafine Particles; Particulate Matter; Land-use; Light-absorption; Real-time; Urban; Exposure; Pm2.5
Language english
Publication Year 2021
Prepublished in Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 0013-936X
e-ISSN 1520-5851
Journal Environmental Science & Technology
Quellenangaben Volume: 55, Issue: 1, Pages: 160-168 Article Number: , Supplement: ,
Publisher ACS
Publishing Place Washington, DC
Reviewing status Peer reviewed
Institute(s) Cooperation Group Comprehensive Molecular Analytics (CMA)
Institute of Epidemiology (EPI)
Research Unit Comparative Microbiome Analysis (COMI)
POF-Topic(s) 30202 - Environmental Health
Research field(s) Environmental Sciences
Genetics and Epidemiology
PSP Element(s) G-504500-001
G-504000-004
G-504700-001
Grants 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
DOI 10.1021/acs.est.0c04776
WOS ID WOS:000606821200017
Scopus ID 85097905918
PubMed ID 33291866
Erfassungsdatum 2020-12-16
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