PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
9.028
2.056
5
6
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
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
Sprache englisch
Veröffentlichungsjahr 2021
Prepublished im Jahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 0013-936X
e-ISSN 1520-5851
Zeitschrift Environmental Science & Technology
Quellenangaben Band: 55, Heft: 1, Seiten: 160-168 Artikelnummer: , Supplement: ,
Verlag ACS
Verlagsort Washington, DC
Begutachtungsstatus Peer reviewed
Institut(e) Cooperation Group Comprehensive Molecular Analytics (CMA)
Institute of Epidemiology (EPI)
Research Unit Comparative Microbiome Analysis (COMI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Environmental Sciences
Genetics and Epidemiology
PSP-Element(e) G-504500-001
G-504000-004
G-504700-001
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
DOI 10.1021/acs.est.0c04776
WOS ID WOS:000606821200017
Scopus ID 85097905918
PubMed ID 33291866
Erfassungsdatum 2020-12-16
[➜Korrektur melden]