'title':'Specie repartition among factors (Loading...)',
}
}
)
html.Div(
children=dcc.Markdown("""
### Species repartition among factors
Theses barplot express how much is apportioned each species by each factors, normalized to 100%. It may take some time to generate.
"""),
),
html.Div(
id="specie-repartition-component",
children=[
dcc.Loading(
dcc.Graph(
id="repartition-graph",
figure={
'data':[],
'layout':{
'title':'Specie repartition among factors (Loading...)',
}
}
)
)
]
)
])
]
)
returnspecie_repartition_component
defget_op_beta_component():
...
...
@@ -405,7 +418,14 @@ def get_op_beta_component():
model_component=html.Div(
id="model-component",
children=[
html.H3("Intrinsic OP of the PMF factors"),
dcc.Markdown("""
### Intrinsic OP of the PMF factors
The intrinsic OP is how much the OP would increase if we increase 1 µg.m⁻³ of the given source. They are the coefficients from the MLR model.
You can select several PMF factor (`Sources` dropdown) and OP (`OP` dropdown) at a time.
The values reported here are the mean and standard deviation of the 500 boostraps of the solution, with randomly selected 70% of the input dataset each time.
dcc.Markdown("**Daily** present the mean and median daily contribution and **seasonal** aggregated it by season (DJF, MAM, JJA, SON). The values of all factors from all the selected stations are taken into account for this plot."),
dcc.Markdown("**Daily** is the daily reconstructed OP from the regression model. **Monthly** (mean or median) are the monthly aggregated mean or median for each station. **Quaterly** is the seasonal (4 seasons: DJF, MAM, JJA, SON) mean or median aggratation per station. This plot may take some time to generate..."),
This part present the results of the PMF studies used as input variable for the
attribution of the OP to the PM sources.
* **Profiles**: display the species concentration in each selected PMF profile (in µg/µg or in µg/m⁻³);
* **DeltaTool**: plot each profile of each stations against the other similar profile, to assess the chemical similarity of the different profiles, following the approach proposed by
* **Uncertainties**: give an estimation of the uncertainties of the profiles species concentration thanks to both the *Bootstrap* and *Displacement* estimates of the EPA PMF5 software.
* **Species repartition**: display what fraction of each species are apportioned by each PMF factors.
### OP (Oxidative Potential)
This part is the results of the multiple linear regression (MLR) of the PMF
factors against the OP<sup>AA</sup> and OP<sup>DTT</sup> measurements, following
the equation:
<p class="equation">
OP<sub>obs</sub> = G × β + ε
</p>
where G is the contribution of each factor given by the PMF, OP is the observed OP
(DTT or AA), β is the *intrinsic OP* and ε the residual term.
* **Intrinsic OP**: display the intrinsic OP (i.e. coefficient of the MLR)
for each PMF factor at each site, together with their uncertainties;
* **OP contribution (all)**: give the overall PMF factor contribution to the
OP (daily and seasonal mean or median), taking into account all the selected
site;
* **OP contribution (timeseries)**: display individual timeseries of the PMF
factor contribution to the OP. You can select to see the daily contribution
or the monthly or season mean and median contribution.