Title: Slide sem ttulo
1São Paulo Air pollution Modeling
Departamento de Ciências Atmosféricas
Atmospheric Sciences Department Institute of
Astronomy, Geophysics and Atmospheric
Sciences Universidade de São Paulo
sourceCETESB
2Evolution of the light fleet in MASP, number of
cars x 1000
3Evolution of CO emission factors for Gasoline
and ethanol based cars
4Evolution of HC and NOx emission factors for
Gasoline C and alcohol based cars
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6Light Duty average emission factor
7Sources of air pollution in MASP
Source CETESB
8Emission inventory mobile sources
I Official data from CETESB
Mobile source inventory in the Metropolitan Area
of São Paulo in 2002
9Ratio of NOx to CO in different air quality
stations in the Metropolitan Area of São Paulo.
10Steps followed to prepare the emission profile
to CIT model A Hydrocarbons speciation in the
liquid fuel ( Carter and Evaporative) I
Evaporative emission Analysis of fuel from
different gas-station (Petrobrás, Shell,
Ipiranga and Esso) Analysis performed at
Riverside - CA II Study of the most important
compounds in the formation of photochemical
oxidants. III Grouping of compounds in CIT
class
11B Hydrocarbons speciation emitted by exhaust
I- Gasoline based on literature data (Robert
Harley) II Diesel and ethanol literature data
(Murgel (1990) and Chui et al (1975))
C Hidrocarbons speciation emited by the
refueling I- Based on Harley, 2000.
12Fleet Distribution - Heterogeneous Distribution
based on the number of vehicles in each 39 cities
in the MASP - Mobile sources for São José dos
Campos and Sorocada
13 Distribution of vehicular emission in the study
area. The colors are related to the intensity of
emission (red the higher, and blue no emission
considered).
14II - Source emission by route Methodology
- Traffic simulator EMME/2
- Matrix origin-destiny to light vehicles
- Car volume in each street portion.
- Vehicular emission according to average velocity
of traffic.
15- CO (g/km) -4,5 727/V 1,4 E-3 V2
- HC (g/km) -2,28 62,48V
- Nox (g/km) 1,03 7,477 E-3 V2
- source ipea and antp
16Distribution of sources by route
CO
Distribution of sources by number of vehicles in
each city
17Distribution of sources by route
O3
Distribution of sources by number of vehicles in
each city
18Distribution of sources by route
19Distribution of sources by number of vehicles in
each city
20Distribution of sources by route
21Distribution of sources by number of vehicles in
each city
22III - Veicular Emissions Improvement of emission
factor tunnel measurements Túnel Jânio
Quadros Túnel Maria Maluf
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25CO2 measurements inside and outside tunnel
26Measurements inside tunnel Janio Quadros
Measurements outside tunnel Jânio Quadros
27Measurements inside tunnel Maria Maluf
Measurements outside tunnel Maria Maluf
28Emission profiles obtained in tunnel
experiments 1- Two different tunnels light and
heavy duty cars 2- Measurements of carboxylic
acids and carbonyl compounds
Aldehyde gtC2
Formic ac
Acetic ac
Formaldehyde
Acetaldehyde
29VOC measured in tunnels
30acids
aldehydes
Aromatics
Alkanes
Classes of VOCs sampled in tunnels
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32Mass Distribution Sampled with MOUDI impactor
33Fuel-based particulate emission factors were
computed by relating total carbon emissions in
the tunnel to the carbon content of fuel using
the equation based in the work of Kirchstetter et
al., 1999. where Ep is the emission factor (g
emitted per kg of fuel burned) for pollutant P,
?P is the increase in the concentration of
pollutant P (µg/m3) above background levels,
?CO2 and ?CO are the increases in the
concentrations of CO2 and CO (µg of carbon m-3)
above background levels, and ?c is the weight
fraction of carbon in fuel
34Trace-Elements Emission Factor light duty
vehicles (?g/kg)
35Emission Factor (g/kg)
Measurements inside and outside Jânio Quadros
tunnel