IMPLEMENTATION OF AN AIR QUALITY MODELING AND FORECASTING SYSTEM FOR THE CITY OF GUADALAJARA INVOLVING THE IMPLEMENTATION OF FIXED AND MOBILE ...
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IMPLEMENTATION OF AN AIR QUALITY MODELING AND
FORECASTING SYSTEM FOR THE CITY OF GUADALAJARA
INVOLVING THE IMPLEMENTATION OF FIXED AND MOBILE
MICRO-SENSORS ON VEHICLES
Fanny VELAY LASRY (1), Germain THERRE (1), Marc CHIAPPERO (1), Eva-Marie ERIKSSON (1), Claude DEROGNAT (1), Gwendoline LACRESSONNIERE (1), Mathieu
LACHATRE (1), Alisson GODART (1), Maxime NIBART (1), Larissa ZANUTTO (2), Samya PINHEIRO (2), Pierre CASTANIER (1), Marcia OTALORA (1), Viet TRAN (1), Estefany
LOPEZ MURILLO (3), Abraham TORRES ANDRADE (3), Elizabeth DURAN CHAVEZ (3), Adan ESPEJO (3), Natalia ORTIZ (3)
Germain THERRE
VIE, Coordination du projet
Fanny VELAY-LASRY
Chef de projet
Marc CHIAPPERO
Responsable commercial
Jacques MOUSSAFIR
PDG ARIA Technologies
Who’s part of this
Project ?
a
company
d
The AIRED project
Inventories: Emissions Formaldeide
Acetaldeide
Geographical Data
Speciation &
Meteorological
“reference raw Aldeidi superiori dimensional
emission data” profiles
Orgraphie
Chetoni
Etilene
Data
Alcani (B.R.)
Landuse
(point / line / area) Alcani (A.R.)
Latifoglie
Conifere
Auto
Aromatici (B.R.)
100%
Pop. Density
Aromatici (A.R.)
80%
60%
NMVOC & PM Olefine (B.R.)
Olefine (A.R.)
100%
80% NATURE
40%
AGRICULTURE
20%
WASTE TREATMENT & DISP.
SPECIATION & SIZE Isoprene
OTHER MOBILE SOURCES
60%
ROAD TRANSPORT
40%
SOLVENT AND OTHER PRODUCT USE
EXTR. AND DISTRIB. OF FOSSIL FUELS Monoterpeni
PRODUCTION PROCESSES
0%
COMBUSTION IN MANUFACT. INDUSTRY
NON-INDUSTRIAL COMBUSTION
20% COMBUSTION IN ENERGY
CH4 CO CO2 NMCOV N2O NH3 NOx SOx
0% 20% 40% 60% 80% 100%
0%
CH4 CO CO2 NMCOV N2O NH3 NOx SOx
SPACE Thematic data
Modelling
DISAGGREGATION Clima
Captors
emission
Modulation profiles
(hourly, daily, monthly) TIME
2.5
MODULATION assimilation
2
DAY
1.5 NOM_PROFIL
1 - Leggeri_Extraurbane
2 - Leggeri_Extraurbane
3 - Leggeri_Extraurbane
4 - Leggeri_Extraurbane
5 - Leggeri_Extraurbane
1 6 - Leggeri_Extraurbane
7 - Leggeri_Extraurbane
Emission Scenari Web and phone API
0.5
Health Module
3 No nIndC o m b
gg_0_150
gg_150_300
0
0 1 2 3 4 5 6 2.5 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
gg_300_500
HOUR
gg_500_1000 Residential
2 gg_1000_2000
P ro dInd
1.5 S m a lB us i
Do m Ac tiv
1 Airtra f
C o lture Highways
VdA_a uto _EA
0.5 VdA_c o m m _EA
De c id
0 C o nif
1 2 3 4 5 6 7 8 9 10 11 12 ThP o wP la nts
To tElP o wR e q
mese Ve ic o li_VdA Deciduous
Model-ready input
(hourly, gridded,
speciated emissions)
Area of study
Estado de Jalisco
○ Area: 78,588 km²
○ Population 8,348,151 (2020)
○ Population density 110/km²
By TUBS - CC BY-SA 3.0,
https://commons.wikimedia.org/w/index.php?cur
id=15994634
11
By Jpablo cad - Own work, CC BY 3.0,
https://commons.wikimedia.org/w/index.php?curid=4926938
Domains selection
1 2 3 5 Centro
4
Miravalle
Sensores
WRF / SWIFT
WRF WRF SWIFT/
CHIMERE / SIRANE
CHIMERE CHIMERE SPRAY
FARM
Overview of
results
• CHIMERE multi-scale chemistry-
transport model
(https://www.lmd.polytechnique.fr/chimere/)
• FARM (Flexible Air quality Regional
Model) three-dimensional Eulerian
model (http://www.aria-
net.it/qualearia/en/)
SIRANE model
• SIRANE:
Dispersion model combining
• A street network with several transport
processes in the urban canopy.
• A parametrization of the atmospheric
boundary layer coupled to a gaussian model.
•.
• Soulhac, L., Salizzoni, P., Cierco, F.-X. et Perkins, R. J., 2011.
The model SIRANE for atmospheric urban pollutant
dispersion: PART I: presentation of the model. Atmospheric
Environment. Volume 45, Issue 39, 7379-7395
Guadalajara
PMSS model
• PMSS:
• 3D dispersion model
• Building are considered
• Adapted to Street level modelling
• PMSS name (Moussafir et al, 2013; Oldrini et al,
2017) is derived from Parallel Micro SWIFT SPRAY
• Moussafir, J., Olry, C., Nibart, M., and Albergel, A., 2013. Aircity, a
very High-resolution 3D Atmospheric Dispersion Modeling System
for Paris. In 15th Int. Conf. on Harmonisation within Atmospheric
Dispersion Modelling for Regulatory Purposes.
• Oldrini, O., Armand, P., Duchenne, C., Olry, C., Moussafir, J.,
Tinarelli, G., 2017. Description and preliminary validation of the
PMSS fast response parallel atmospheric flow and dispersion solver Miravalle
in complex built-up areas. Environ. Fluid Mech. 17, 997–1014.
https://doi.org/10.1007/s10652-017-9532-1
Microcaptors network
• Purchase and installation of 32 µ-captors
• Will enable data assimilation for model outputs
• 24 µ-capteurs mobiles (ATMOTRACK) y 8 stations fixes
(ENVEA)
Local emision inventory
Ponctual sources
Linear sources Surface sources
(SEMARNAT data)
(SEMARNAT Data)Local emision inventory Spatialized emissions PM 10
From a global inventory to a local inventory EDGARv5.0 0.1 x 0.1° Local invetory emission
Data available for evaluation 10 air pollution and meteorological monitoring stations are deployed in Guadalajara
Episode selection for validation
PM10 – Oct Nov Dec
• 1st Episode :27th 31st
- january 2019
• 2nd Episode : 14th - 19th may 2019
• 3rd Episode : 29th july - 7th august 2019
• 4th Episode : 8th - 14th december 2019
NO2 – Jan Fev MarEvaluation d’épisodes pour le modèle FARM
CO - Miravalle PM10 - Miravalle
Janvier
MaiHealth module • Specific factor were defined for the area
Scénarios d’émissions https://webf-air-arianet.appspot.com/
Demonstrateur WEB
https://webapp.aria.fr/demo-api/index.html?project=AIREDGrazie ➢ Fanny VELAY-LASRY : fanny.velay@suez.fr ➢ Germain THERRE : germain.there@suez.fr
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