Commit fcf74d17 authored by Samuël Weber's avatar Samuël Weber
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first draft main text

parent 74bc8016
......@@ -10,10 +10,86 @@ layout = dbc.Container(
html.H1("Source apportionement of the Oxidative Potential of aerosols"),
This application lets you browse the datasets and results obtained within the
framework of the *Get OP stand OP* ANR program. It gather the measurement of Oxidative Potential (OP) of
aerosols, sampled during several French research program, and attribute the
instrinsic OP of the different sources of aerosols, together with their relative
contribution to the observed OP.
This visualisation tool acts also as a supplementary information for a reasearch
manuscript submitted to *Atmospheric Chemistry and Physic*:
[Source apportionment of the oxidative potential of aerosols at 15 French sites
for yearly time series of observation](#ref), part of the PhD thesis of Samuël
dcc.Link("Start exploring the results", href="/results",
className="btn btn-success mx-auto my-3 w-50 d-block"),
Atmospheric ambient arerosols (or particulate matter, PM) has already been shown to
be linked to diverse health outcome such as asthma,
cardiovascular disease and increase cancer risk. However,
epidemiological studies focus only on PM mass despite the
fact that the PM present a wide span of size, shape,
chemical composition and so reactivity. The oxidative
potential of PM has been proposed as a new proxy for
air quality in order to better estimate the population
exposition. Indeed, OP integrates the different PM characteristic
and is more closely linked to the inflammatory response of the
body to the oxidative stress induced by PM, and so to
different health outcomes. However, long time series of OP
measurement are still poorly documented in the literature
and no standardized assays has emerged so far. Moreover, very
scars source apportionment of OP has been conducted yet (i.e. which PM sources
contribute to the OP?).
In this study, we sampled aerosols one every third day at 15 different sites in
France for at least one year between 2013 and 2018. We measured OP thanks to 2 different assays (OP measured by
the ascorbic acid, OP<sup>AA</sup>, and by the dithiotreitol, OP<sup>DTT</sup>)
together with a advanced chemical speciation (ions, EC/OC, metals, organics,
etc) on the very same PM filters. It results in the biggest database of OP
measurements with concomitant observation of chemistry of PM available in the
literature, with more than 1700 samples analyzed with a standardized
Thanks to PM source apportionment through the
use of PMF and a multiple linear-regression (see [Weber et al, 2018](,
we then expressed the intrinsic OP (OP per μg PM) for each identified source. We also
compare the similarity between the different PMF factor at each site (thanks to
tools developed in the FAIRMODE group ([Belis et al, 2018](
in order to assess the geochemical stability of the intrinsic OP of the
factors at the regional level.
""", dangerously_allow_html=True),
html.H1("Main highlights"),
* Both OP present clear seasonal pattern, notably for alpine cities, with high
value during winter and relatively lower during summer.
* In addition to the seasonal cycle, rapid day-to-day variation are also
* The 2 different OP assays do not present the same reactivity toward the
sampled aerosols.
* Comparing to the PM mass source apportionment, we clearly observe a
redistribution of the different sources contribution when
considering the OP instead of the mass.
* We also show that the primary road traffic source has an intrinsic OP (OP per μg of PM)
significantly higher than the other PM sources, notably
when considering the AA assay;
* As a consequence of the different intrinsic OP, the contribution of the
different sources highly depend on the metric we use (ie. mass or OP).
Obviously, this work and the >1700 samples collected at
15 different sampling sites was only possible thanks to
the dedicated effort of many people, notably in the
AASQA, for collecting the samples as well as the work of
many technicians and engineers in the IGE and INERIS
labs. The authors would like to kindly thank them for
all this work.
dcc.Link("Start exploring the results", href="/results",
className="btn btn-success mx-auto my-3 w-50 d-block")
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