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Sun, J.* ; Birmili, W.* ; Hermann, M.* ; Tuch, T.* ; Weinhold, K.* ; Spindler, G.* ; Schladitz, A.* ; Bastian, S.* ; Löschau, G.* ; Cyrys, J. ; Gu, J. ; Flentje, H.* ; Briel, B.* ; Asbach, C.* ; Kaminski, H.* ; Ries, L.* ; Sohmer, R.* ; Gerwig, H.* ; Wirtz, K.* ; Meinhardt, F.* ; Schwerin, A.* ; Bath, O.* ; Ma, N.T.* ; Wiedensohler, A.*

Variability of black carbon mass concentrations, sub-micrometer particle number concentrations and size distributions: Results of the German Ultrafine Aerosol Network ranging from city street to High Alpine locations.

Atmos. Environ. 202, 256-268 (2019)
Verlagsversion Forschungsdaten DOI
Open Access Hybrid
Creative Commons Lizenzvertrag
This work reports the first statistical analysis of multi-annual data on tropospheric aerosols from the German Ultrafine Aerosol Network (GUAN). Compared to other networks worldwide, GUAN with 17 measurement locations has the most sites equipped with particle number size distribution (PNSD) and equivalent black carbon (eBC) instruments and the most site categories in Germany ranging from city street/roadside to High Alpine. As we know, the variations of eBC and particle number concentration (PNC) are influenced by several factors such as source, transformation, transport and deposition. The dominant controlling factor for different pollutant parameters might be varied, leading to the different spatio-temporal variations among the measured parameters. Currently, a study of spatio-temporal variations of PNSD and eBC considering the influences of both site categories and spatial scale is still missing. Based on the multi-site dataset of GUAN, the goal of this study is to investigate how pollutant parameters may interfere with spatial characteristics and site categories.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Particle Number Size Distribution ; Black Carbon ; Long-term Measurement ; Spatial Variability ; Spatial Clustering; Long-term Observations; Jungfraujoch 3454 M; In-situ; Particulate Matter; Air-quality; Spatiotemporal Variability; Elemental Carbon; Background Sites; Decadal Trends; Central-europe
Sprache englisch
Veröffentlichungsjahr 2019
Prepublished im Jahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 1352-2310
e-ISSN 1873-2844
Zeitschrift Atmospheric Environment
Quellenangaben Band: 202, Heft: , Seiten: 256-268 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1gb, England
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-004
DOI 10.1016/j.atmosenv.2018.12.029
WOS ID WOS:000461525900023
Scopus ID 85060880233
Erfassungsdatum 2019-02-11
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