The Mexico City Air Quality Case Study

Mario J. Molina and Luisa T. MolinaMassachusetts Institute of Technology

IUAPPA-IPURGAPReducing the Impact of Vehicles

On Air and Environmental Quality in CitiesJanuary 22-23, 2004

Topographical Map of the MCMA•Population Growth

>17.5 million (1999): 20-fold increase since 1900Growth projection to 25 million (2010)

• Urban Sprawl>1500 km2 (1999): 10-fold increase since 1960>Expansion to peripheral areas

• Geographic and Topographical Conditions

>High altitude (2240m): less efficient combustion processes>Mountains are a physical barrier for winds>2nd largest mega-city in the world>Temperature inversions in the dry season

• Increases in Emissions Sources

Expansion of the MCMA

Lead (g/m3)

0.0

1.0

2.0

3.0

4.0

5.0

6.0

1988 1990 1992 1994 1996 1998

Ann. avg.

95 Perc

Annual standard

SO2 (ppb)

0

20

40

60

80

100

120

140

1986 1988 1990 1992 1994 1996 1998

Daily 95%Daily 50%Ann. avg.

24-hr. standard

Annual standard

CO (ppm)

0

2

4

6

8

10

12

1986 1988 1990 1992 1994 1996 1998

8-hr. 95%8-hr. 50%Ann. avg.

8-hr. standard

Trends in criteria pollutant concentrations for the MCMA(averages of data at five RAMA sites: TLA, XAL, MER, PED, and CES)

Ozone (ppb)

0

50

100

150

200

250

300

1986 1988 1990 1992 1994 1996 1998

1-hr. 95%1-hr. 50%Ann. avg.

1-hr. standard

PM10 (g/m3) at manual

0

40

80

120

160

200

1988 1990 1992 1994 1996 1998

Ann. avg.

Annual standard

Trends in criteria pollutant concentrations for the MCMA(averages of data at five RAMA sites: TLA, XAL, MER, PED, and CES)

Integrated Program on Urban, Regional and Global Air Pollution: Mexico City Case Study

(Mexico City Air Quality Program)

Objective:

Provide objective, balanced assessments of the causes and alternative cost-effective solutions to urban, regional and global air pollution problems through quality scientific, technological, social and economic analysis in the face of incomplete data and uncertainty

- Use Mexico City as the initial case study- Develop an approach that applies globally- Build on strong base of ongoing basic

research

Ecosystem Impact Model

(Agriculture, Water, Climate Change, etc.)

Health Effects/Impacts

Models(Damage Functions, Productivity Losses, etc.)

Meteorological Model

Gas-Particulate Photochemical

Model

Ecosystem Science

Health Effects Science

Atmospheric Science

Policy Development & Implementation

Behavior and Emissions

<< Integrated Science & Economic Impact >> << Policy & Mitigation >>

Demographic & Health Statistics

Ecosystem Data

Atmospheric Data

Emissions &

Area / Point / Mobile

Reduction Costs

Hous

ehol

d/

Com

mer

cial

Ener

gy S

uppl

y /In

dust

ry

Tran

spor

tatio

n M

odel

(s)

( Response Strategies / Scenarios )

A Framework for Integrated Assessment

Economic Costs of Human Impacts

Economic Costs of Ecosystem

Damages

Policy & Other Recommendations

(Institutional & Social Factors / Stakeholder Education & Outreach)

Mexican ParticipantsUniversidad Autónoma Metropolitana (UAM)Instituto Mexicano del Petróleo (IMP)Petroleos Mexicanos (PEMEX)Universidad Nacional Autónoma de México (UNAM)Universidad de las Americas, Puebla (UDLA)Universidad Iberoamericana (UIA)Instituto Tecnológico de Estudios Superiores de Monterrey (ITESM)Secretaría de Medio Ambiente y Recursos Naturales (SEMARNAT)Instituto Nacional de Ecología (INE); Centro Nacional de Investigación y Capacitación Ambiental (CENICA)Gobierno del Distrito Federal (GDF); Secretaria de Medio Ambiente (SMA)Gobierno del Estado de México, Secretaria de Ecología (SEGEM)Secretaría de Salud (SS)Insituto Nacional de Salud Pública (INSP)

US ParticipantsMassachusetts Institute of Technology (MIT)Washington State University (WSU)Montana State University (MSU)University of Colorado at Boulder (UC)Lawrence Berkeley National Laboratory (LBNL)Aerodyne Research Inc. (ARI)Department of Energy/Atmospheric Science Program (DOE/ASP)Argonne National Laboratory (ANL)Pacific Northwest National Laboratory (PNNL)Los Alamos National Laboratory (LANL)Colorado State University (CSU)Pennsylvania State University (PSU)National Science Foundation (NSF)University of California at Riverside (UCR)National Center for Atmospheric Research (NCAR)

European ParticipantsChalmers University, SwedenETH-ZurichEcole Polytechnique Federal de LausanneUniversity of HeidelbergFree University of Berlin

Collaborative Research and Education Program

Summary of the First Phase of the Mexico City Air Quality Program

Chapter 1. Air Quality Impacts: A Global and Local ConcernsChapter 2. Cleaning the Air: A Comparative Overview Chapter 3. Forces Driving Pollutant Emissions in the MCMAChapter 4. Health Benefits of Air Pollution ControlChapter 5. Air Pollution Science in the MCMA: Understanding Source-Receptor Relationships Through Emissions Inventories, Measurements and ModelingChapter 6. The MCMA Transportation System: Mobility and Air PollutionChapter 7. Key Findings and Recommendations

NOx Emissions (1998)

35%

19%11%

6%

5%

4%

4%

3%

8%4%

1%Heavy Diesel TruckPrivate automobileHeavy Gasoline TruckVegetacionTaxiBusesElectricity GenerationCombis/MicrosOther IndustryServicesOther Transport

PM10 Emissions (1998)

40%

33%

4%

4%

3%

12%

2%

2%

Soil Erosion

Heavy Diesel Truck

Private automobile

Buses

Metallic Minerals

Other Industry

Other Transport

Services

Estimates of mortality impacts from particulate matter, drawn from time-series studies

worldwide and in Mexico City

-3

-2

-1

0

1

2

3

4

5

% c

hang

e in

dai

ly m

orta

lity/

10 u

g/m

3 incr

ease

in P

M10

Pooled worldwideestimate

- - - - - - - - - Worldwide literature - - - - - - -

Mexico City studies

Estimated Health Benefits of a 10% Reduction of Pollution Levels in the MCMA

PM10 Background Rate (case-persons-yr)

Risk Coefficient(% per 10µg/m3)

Risk Reduction (cases/yr)

Cohort Mortality 10/1000 3 2000

Time Series Mortality 5/1000 1 1000

Chronic Bronchitis 14/1000 10 10 000

Ozone Background Rate (case-persons-yr)

Risk Coefficient (% per 10µg/m3)

Risk Reduction (cases/yr)

Time Series Mortality

5/1000 0.5 300

Minor Restricted Activity Days 8000/1000 1.0 2,000,000

Focus of the Second Phase of the Mexico City Air Quality Program

Systematic development of scientific information, evaluation methodologies and simulation tools in the following areas:

  activities that lead to the generation of pollutants in the MCMA

(transportation, production of goods and services, degradation of the natural environment, etc.);

  dispersion and transformation of atmospheric pollutants

(focus on ozone and particles);   evaluation of risks and the effects of pollutants on the population;   cost-benefit analysis of control strategies;   integrated assessment of policy options and priorities for control strategies;   strategies for capacity building.

Emission inventories:What are the sources of NH3? HCHO? What are their emissions rates?

Are hydrocarbon emissions underestimated? Are NOx emissions overestimated?Are there significant biogenic emissions, e.g., terpenes?

Chemistry: transformation of emissions in the atmosphereHow is the reduction in NOx and/or HC related to reduction in O3 and PM?

Would reductions in NOx lead to a reduction in nitrate particulates?

What is the impact of reducing ammonia?How much HCHO is primary vs. secondary (produced photochemically)?

What is the partitioning of NOy (NOx, HNO3, organic nitrates)?

What are the sources and the chemical composition of the fine PM?

MCMA-2003 Field Measurement Campaign Science Questions

MCMA-2003 Field Measurement Campaign Science Questions (cont)

Meteorology:What is the height of the mixing layer?How does it evolve with time?Is there any “carry over” of pollutants from one day to the next?Do the models satisfactorily predict wind speeds and directions?

Urban-Regional-Global Chemical Transformation:What are the effective source terms for emissions for global climate models?What are the roles of aerosols in modifying the local/regional radiative transfer processes and cloud properties?

Ozone with 1-4 x HC emissions

0

20

40

60

80

100

120

140

160

0 4 8 12 16 20 24Hour

Ozo

ne (p

pb)

RAMA1xHC2xHC3xHC4xHC

0

20

40

60

80

100

120

140

160

0 4 8 12 16 20 24Hour

Ozo

ne (p

pb)

RAMA1xHC2xHC3xHC4xHC

Mar. 2, 1997 Mar. 14, 1997

Ozone concentrations are average of all measurement sites.

MCMA-2003 Field CampaignSupersite Instrumentation

Instrumentation: CENICA - monitoring station, tethered balloon RAMA - monitoring station WSU – VOC sampling DOE/ PNNL – PTRMS, single particle sampler/analyzer, MFRSBR, RSR UCB/LBL – Particle sampling apparatus DOE/Argonne National Lab – PAN, black carbon, olefins, NH3 Colorado U. – AMS Penn State – OH and HO2 IMP – MINIVOLS and MOUDI , aldehyde cartridges MIT/U. Heidelberg - DOAS MIT/ Free U. Berlin – LIDAR MIT – PAHs UCR – nitro-PAHs, PAHs EPFL - LIDAR UNAM – FTIR Chalmers – FTIR, DOAS Plus others

Supersite Location: CENICA (UAM-Ixtapalapa)

East South South-West

Radiation:• Spectrometry Actinic photon flux (incl. straylight) -> any J-value• Filterradiometry J(NO2)

MIT/IUP DOAS equipment on Cenica Roof-top (Hut)

DOAS-2L= 4420mH= 70m

• HONO, HCHO, O3• NO2, (NO3)• SO2• Glyoxal

DOAS-1L= 960mH= 16m

• BTX, Styrene• Benzaldehyde, Phenol• Naphtalene• NO2, HONO• HCHO, O3, SO2

Aerosol Mass Spectrometer (AMS) at CENICA

100% transmission (60-600 nm), aerodynamic sizing, linear mass signal.• Jayne et al., Aerosol Science and Technology 33:1-2(49-70), 2000.• Jimenez et al., J. Geophys. Res.- Atmospheres, 108(D7), 8425, doi:10.1029/ 2001JD001213, 2003.

Aerosol measurements (April 15-17, 2003)35

30

25

20

15

10

5

0

PM

1.0

Mas

s C

once

ntra

tion

(g

m-3

)

12:00 AM4/15/2003

12:00 PM 12:00 AM4/16/2003

12:00 PM 12:00 AM4/17/2003

12:00 PM

Nitrate Sulphate Water Ammonium Organics PAH Chloride

ChaseDetailed mobile source emissions characterizationPlume tracer flux measurements

Mobile Sampling/MappingMotor vehicle pollution emission ratiosLarge source plume identificationAmbient background pollution distributions

Stationary SamplingHigh time resolution point samplingQuality Assurance for conventional air monitoring sites

Mobile Laboratory Modes of OperationFebruary 2002

Chalco

Teotihuacan

Tula

Ajusco

CENICA

Cuautitlan

Formaldehyde Measurements February 2002

Environmental Education and Outreach Visiting Mexican scholars at MIT Workshops/symposia on air quality Professional development courses on air quality for mid-career

personnel in the government, industry and academic sectors as well as non-governmental organizations and the media

Masters Program in Environment and Health Management at MIT and Harvard School of Public Health (INE-MIT-Harvard joint program)

Exchange program between MIT and Mexican institutions Establish the Research and Development Network on Air

Quality in Large Cities in Mexico Web-based activities for senior high school teachers and

students (with Monterrey Tech, ITESM)

MIT Scenario AnalysisIntegrating Bottom-Up and top-Down Analytic Approaches

Three Feasibility “Screens”– Technical Feasibility (effective)– Economic Feasibility (affordable)

•Pursued through quantitative analysis– Political Feasibility (implementable)

•Pursued through qualitative dialogue

“Feasibility” depends in part upon the “Future Story”

•Allows us to identify more robust options

A Diverse Mix of Emissions/Sources

Source: CAM 1998 MCMA Emissions Inventory

Increase in Automobiles per Capita in Mexico City

Motorization Index in the MCMA

0

20

40

60

80

100

120

140

160

180

1920 1940 1960 1980 2000

Number of MotorVehicles perthousandinhabitants

Collaborative Activities with Latin American Cities

Air quality forecasting training workshops (with Santiago de Chile and São Paulo)

Transportation/land use and atmospheric modeling and measurements (with Santiago de Chile and other Latin American cities)

Inter-American Network for Atmosphere and Biosphere Studies (IANABIS)

Fleet composition and operations

Provide incentives to increase the turnover rate of the trucks, taxis, colectivos, and private auto fleets.

Enforce existing regulations on maximum age of taxis and colectivos

Develop incentives to encourage retrofitting of trucks with emission control devices.

Continue audits of Vehicle Verification Testing Stations using on-road test data, and correct irregularities

Public transportation • Give priority to the organization of the transportation system at the metropolitan level, including the improvement and coordination of all the current modes of transport.

• Increase the use of the metro system by improving service quality, performance, and personal security.

• Facilitate inter-modal transfers to improve convenience and speed of public transport.

• Important origins and strategic destinations should be considered in the planning for the proposed expansion of the metro network.

Infrastructure/Technology

• Develop infrastructure to enable intercity truck traffic to bypass the downtown core in order to improve air quality and reduce congestion.

• Evaluate the feasibility of implementing Intelligent Transportation Systems (ITS) to improve traffic management and thereby reducing pollution.

• Consider alternative transportation pricing policies, enabled by ITS, to reduce the volume of traffic and pollution.

Fuels

• Establish new specifications with lower sulfur content in gasoline and diesel that enable the introduction of future cleaner vehicle technologies.

• Develop natural gas as a potential transportation fuel for urban buses and intra-urban trucks

• Prohibit illegal vehicle conversions to run on LPG without adequate emission controls

Recommendations (short term)• Improve Data

– Establish reliable registration database.

– Improve trip data.– Update traffic

accounting data.– Use remote sensing and

tunnel tests to improve emission inventory.

– Make emission and vehicle data publicly available for new and used vehicles.

• Improve enforcement– Taxis < 6 years old (DF),

<10 years old (EM).– Microbuses <7 years old– Registration and license

plates.– Centralize VVP

database.– VVP certificates up to

date/not counterfeit.– Increase audits &

evaluations of VVP.– Traffic regulations.

Recommendations (medium term)

• Control Vehicle Demand– Limit private vehicle

use.– Restrict taxi numbers

through a permitting process.

– Regulate colectivo’s, but encourage their continuation.

– Create ‘no private vehicle’ areas in DF.

– Discourage single passenger trips.

• Upgrade the Fleet– Registration fees less

age sensitive.– Tighten VVP emission

standards for older vehicles and inspect trucks (NOx, PM, PAH)

– Require vehicle retrofit (gasoline and diesel).

– Upgrade bus fleet.– Acquire USA standards at

only two year delay.– Lower sulfur (gasoline

and diesel).

Recommendations (long term)

• Land Use Planning– Establish a regional

planning commission with authorities & financial independence like SCAQMD.

– Generate a long term plan that is consistent with high mobility and low pollution.

– Enforce sanctity of land reserves.

– Develop and use a mobility/land use tool for planning.

• Public Transport– Integrate colectivos with

public transport.– Promote multi-mode

transport fares.– Encourage park & ride.– Improve security and

safety on public transport and in park & ride lots.

– Give traffic preference to public transport and multi-person vehicles (dedicated lanes, etc.)