2016
DOI: 10.5194/acp-16-7785-2016
|View full text |Cite
|
Sign up to set email alerts
|

BAERLIN2014 – the influence of land surface types on and the horizontal heterogeneity of air pollutant levels in Berlin

Abstract: Abstract. Urban air quality and human health are among the key aspects of future urban planning. In order to address pollutants such as ozone and particulate matter, efforts need to be made to quantify and reduce their concentrations. One important aspect in understanding urban air quality is the influence of urban vegetation which may act as both emitter and sink for trace gases and aerosol particles. In this context, the "Berlin Air quality and Ecosystem Research: Local and long-range Impact of anthropogenic… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
44
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 30 publications
(46 citation statements)
references
References 84 publications
2
44
0
Order By: Relevance
“…A subset of these were included in the companion paper to this one covering the mobile measurements (Bonn et al, 2016). These sites where multiple NMVOC canister samples were taken include Altlandsberg, Plänterwald, the Tiergarten Tunnel, and the so-called AVUS motorway during a traffic jam.…”
Section: Site Descriptionmentioning
confidence: 99%
See 4 more Smart Citations
“…A subset of these were included in the companion paper to this one covering the mobile measurements (Bonn et al, 2016). These sites where multiple NMVOC canister samples were taken include Altlandsberg, Plänterwald, the Tiergarten Tunnel, and the so-called AVUS motorway during a traffic jam.…”
Section: Site Descriptionmentioning
confidence: 99%
“…Further details to the sampling environment can be found in Table 2. For more information on locations and/or sampling, see also Bonn et al (2016).…”
Section: Site Descriptionmentioning
confidence: 99%
See 3 more Smart Citations