% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INPROCEEDINGS{Betancourt:877351,
author = {Betancourt, Clara and Küppers, Christoph and Sager, U. and
Hoyer, A. B. and Kaminski, H. and Rapp, G. and Quass, U. and
John, A. C. and Küpper, Miriam and Kuhlbusch and
Kiendler-Scharr, Astrid and Gensch, Iulia},
title = {{F}irewood residential heating - local versus regional
influence on the aerosol burden},
reportid = {FZJ-2020-02158},
year = {2020},
abstract = {As a particular form of biomass burning (BB),
domesticheating with firewood is a major source of fine dust
inthe cold season. Understanding its impact on air
qualityrequires reliable aerosol source apportionment
andassessment of prevailing loss processes. Further, to
establisheffective mitigation policies, it is necessary
toaccurately quantify the contribution of local vs.
remotesources to the aerosol burden. To this end,
source-receptormodelling is employed, such as chemical
massbalance or Lagrangian techniques, to calculate
concentrationsof the BB specific tracer in aerosol,
levoglucosan(Fine et al. 2002, Chunmao et al. 2019). In the
lastdecades, it has been shown that combining stable
isotoperatios with concentration measurements allows
forseparating the impact of chemical degradation fromchanges
linked to source strength or atmospherictransport. Based on
that, Gensch et al. (2018) developeda numerical approach,
comparing stable carbonisotopic ratio and concentration
measurements withback trajectory analyses by the Lagrangian
particle dispersionmodel FLEXPART (https://www.flexpart.eu/)
toinvestigate chemical aging processes in BB aerosol.In the
present study, stable carbon isotopes were implementedin the
full dispersed output of FLEXPART byexplicitly tracking of
the levoglucosan fraction containing13C. Further,
sensitivity studies were carried out toexamine the
simulation responses to the uncertaintiesof the governing
atmospheric processes described inFLEXPART and thus, to
determine the model performancefor given conditions.
Finally, the set of selectedmodelling routines were applied
in a case study with thegoal to assess the contribution of
local vs. remotesources of biomass burning emissions from
residentialheating to the particulate matter sampled at
twomeasurement stations of the North
Rhine-WestphaliaEnvironmental Agency, LANUV. Thereby, the
measuredlevoglucosan concentration and isotopic composition
in50 selected aerosol samples taken at an urbanbackground
station in Mülheim-Styrum and at a ruralbackground station
in the Eifel, in the cold seasons of2015 - 2017 were
compared with the model results.The simulations indicate
that the biggest fraction of thesampled aerosol is 1 to 2
days old. Chemical aging, alsolimited by low mean OH
concentrations in the cold season,has thus a minor influence
on the observedlevoglucosan concentration and δ13C (Fig.
1). Theexperimental data, interpreted as a two
end-membermixing series between
low-concentration/isotopicallyheavyback-ground and
high-concentration/isotopicallylightfresh emissions, support
the model outcome,showing similar isotopic ratios for the
two constituents.The high variability in the observed δ13C
implies that thelocal levoglucosan emissions are
characterized by verydifferent isotopic ratios in the range
of -25.3 to -21.4 $\%(Fig.$ 1 in Pdf). These values are in
good agreement withprevious studies on levoglucosan source
specificisotopic composition in BB aerosol (Sang et al.
2012).These findings demonstrate that the aerosol burdenfrom
residential heating in living areas is of local originand
thus, mitigation is possible through reduction oflocal
emissions. In this work we show that combiningLagrangian
modelling with isotope ratios is valuable toobtain
additional insight in source apportionment.There is, though,
a need for a better isotopic descriptionof sources.
Moreover, studies investigating long rangetransport of BB
aerosol from large-scale fires in the dryseason are
essential to examine the role of aging amongother loss
processes.Fine, P.M., Cass, G.R. and Simoneit, B.R.T. (2002)
J. Geophys.Res., [Atmos.], doi 10.1029/2001jd000661Chunmao,
Z., Yugo, K., et al. (2019) Environ. Pollut.,
doi10.1016/j.envpol.2019.01.003Gensch, I., Sang, X.F., et
al. (2018) Environ. $Sci.\&Tech.,doi$
10.1021/acs.est.8b03054Sang, X.F., Gensch, I., et al. (2012)
Environ. $Sci.\&Tech.,doi$ 10.1021/ es204094v},
month = {Aug},
date = {2020-08-30},
organization = {European Aerosol Conference 2020,
Aachen (Germany), 30 Aug 2020 - 4 Sep
2020},
cin = {IEK-8 / JSC},
cid = {I:(DE-Juel1)IEK-8-20101013 / I:(DE-Juel1)JSC-20090406},
pnm = {243 - Tropospheric trace substances and their
transformation processes (POF3-243) / 512 - Data-Intensive
Science and Federated Computing (POF3-512) / PhD no Grant -
Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)
/ Earth System Data Exploration (ESDE)},
pid = {G:(DE-HGF)POF3-243 / G:(DE-HGF)POF3-512 /
G:(DE-Juel1)PHD-NO-GRANT-20170405 / G:(DE-Juel-1)ESDE},
typ = {PUB:(DE-HGF)1},
url = {https://juser.fz-juelich.de/record/877351},
}