Commit fb99ed42 authored by Samuël Weber's avatar Samuël Weber
Browse files

update link to article

parent 9b33bb9f
......@@ -7,83 +7,20 @@ import apps.app_components as ac
# from app_main import app
layout = dbc.Container(
dbc.Row(
id="main",
className="",
children=[
dbc.Col(
id="about-col",
dbc.Row(
id="main",
className="",
children=[
html.H2("Source apportionement of the Oxidative Potential of aerosols"),
html.H3("About"),
dcc.Markdown("""
This application lets you browse the datasets and results obtained within the
framework of the *Get OP stand OP* ANR program. It gathers 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 *XXX*:
[Oxidative potential source apportionment at 15 French sites for yearly time series of observation](#ref), part of the PhD thesis of Samuël
Weber.
"""),
dcc.Link("Start exploring the results", href="/results",
className="btn btn-success mx-auto my-3 w-50 d-block"),
html.H3("Introduction"),
dcc.Markdown("""
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
procedure.
Thanks to PM source apportionment through the
use of PMF and a multiple linear-regression (see [Weber et al, 2018](https://www.atmos-chem-phys.net/18/9617/2018/)),
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](http://fairmode.jrc.ec.europa.eu/document/fairmode/WG3/DeltaSA_tool_for_source_apportionment.pdf)))
in order to assess the geochemical stability of the intrinsic OP of the
factors at the regional level.
""", dangerously_allow_html=True),
html.H3("Main highlights"),
dcc.Markdown("""
* 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
observed.
* 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 depends on the metric we use (ie. mass or OP).
"""),
ac.get_main_figure()
]
dbc.Col(
id="about-col",
children=[
dcc.Markdown(
open("./apps/texts/main.mdwn", "r").read(),
dangerously_allow_html=True
),
ac.get_main_figure()
]
)
]
)
)
])
)
......@@ -21,9 +21,9 @@ frame of actions funded by regional air quality monitoring networks (AASQAs).
The development of the oxidative potential (OP) analytical development was done at IGE
within the [Air-O-Sol ](http://www.ige-grenoble.fr/-plateau-analytique-airosol-)analytical
plateau. All samples were analyzed at IGE for both the OP<sup>DTT</sup> and
OP<sup>AA</sup> assays. The details of the methodology can be found in Calas et al. (2018)
(<https://doi.org/10.1038/s41598-017-11979-3>) for the DTT assay and Calas et al. (2019)
(<https://doi.org/10.5194/acp-18-7863-2018>) for the AA assay.
OP<sup>AA</sup> assays. The details of the methodology can be found in
[Calas et al. (2018)](https://doi.org/10.1038/s41598-017-11979-3) for the DTT assay and
[Calas et al. (2019)](https://doi.org/10.5194/acp-18-7863-2018) for the AA assay.
### Financial support
......
......@@ -17,9 +17,9 @@ take into account for local specificities nor for variation over year of the
sources contributions.
Finally, thanks to the recent development of the scientific community, and notably
[Weber et al. 2020](#ref) for the France area, we can attribute an oxidative
potential (OP) of a set of sources. A simple multiplication end up with the
sources contribution to the oxidative potential of PM<sub>10</sub>.
[Weber et al. 2021](https://doi.org/10.5194/acp-2021-77) for the France area, we can
attribute an oxidative potential (OP) of a set of sources. A simple multiplication end up
with the sources contribution to the oxidative potential of PM<sub>10</sub>.
### Pitfall
......
......@@ -2,7 +2,7 @@
This dashboard let you interactively plot different informative results obtain in this research program.
For the context and discussion of the results, we invite you to read the
manuscript of [Weber et al. 2020]() that present this work.
manuscript of [Weber et al. 2021](https://doi.org/10.5194/acp-2021-77) that present this work.
Different kind of plot are available and listed on the left. For most of them,
you can choose which variables you would like to plot from the dropdown lists at the top panel.
......
Source apportionement of the Oxidative Potential of aerosols
------------------------------------------------------------
### About
This application lets you browse the datasets and results obtained within the
framework of the *Get OP stand OP* ANR program. It gathers 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.
<a href="/results" class="btn btn-success mx-auto my-3 w-50 d-block">
Start exploring the results
</a>
This visualisation tool acts also as a supplementary information for a reasearch
manuscript submitted to *Atmospheric chemistry and physics*, [Weber et al.
(2021)](https://doi.org/10.5194/acp-2021-77), entitled
<p class="article-title">
Source apportionment of atmospheric PM<sub>10</sub> Oxidative Potential: synthesis of 15 year-round
urban datasets in France.
</p>
### Introduction
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 procedure
Thanks to PM source apportionment through the use of PMF and a multiple linear-regression
(see [Weber et al, 2018](https://www.atmos-chem-phys.net/18/9617/2018/)), 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](http://fairmode.jrc.ec.europa.eu/document/fairmode/WG3/DeltaSA_tool_for_source_apportionment.pdf)))
in order to assess the geochemical stability of the intrinsic OP of the factors at the
regional level.
### 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
observed.
* 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 depends on the metric we use (ie. mass or OP).
......@@ -102,4 +102,9 @@ p {
margin: 0.5rem 0;
}
.article-title {
font-size: 1.5rem;
font-weight: bold;
text-align: center;
}
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