Title: What Is the Current State of Air Pollution?
1What Is the Current Stateof Air Pollution?
- Roy L. Smith, Ph.D.
- US Environmental Protection Agency
- Office of Air Quality Planning and Standards
- Research Triangle Park, NC
- smith.roy_at_epa.gov
2Introduction
- About me
- Topics covered by this presentation
- Fragmentation of air pollution programs and its
influence on how much we know (or dont know) - Criteria air pollutants (principal pollutants)
- Sources of data
- Trends
- Projections
- Hazardous air pollutants (HAPs, or air toxics)
- As above, but contrasted
- The aging of America
- Demographic shifts
- Migration
- Mobility
- As related to health risks associated with air
pollution
3Subdividing Air Pollution The Clean Air Act
4What We Know Criteria Pollutants
5www.epa.gov/airtrends
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7EPA Criteria Pollutant Monitoring Network
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14Clear Skies Fine Particulate Projections
15Clear Skies O3 Projections
16Clear Skies Risk Projections
- Reductions in fine particles and ozone1 under
Clear Skies would improve public health. By 2020,
Americans would annually experience
approximately - 14,100 fewer premature deaths (An alternative
estimate projects 8,400 fewer premature deaths) - 8,800 fewer cases of chronic bronchitis
- 23,000 fewer non-fatal heart attacks
- 30,000 fewer hospitalizations/emergency room
visits for cardiovascular and respiratory
symptoms - Included in this total are 15,000 fewer hospital
and emergency room visits for asthma. - Included in this total are hundreds of thousands
fewer respiratory symptoms and illnesses for
asthmatics, including approximately 180,000 fewer
asthma attacks. - 12.5 million fewer days with respiratory
illnesses and symptoms, including work loss days,
restricted activity days, and school absences.
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18What We Know Hazardous Air Pollutants
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21HAP Contributions to Tox-Weighted Emissions for
Cancer
1990
1996
2020
2010
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23HAP Contributions to Tox-Weighted Emissions for
Noncancer Effects
241.3 ug/m3 1e-5 risk
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30Can zoom in to area of concern
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32What We Know Demographics of Aging, and How
They Influence Exposure to Air Pollution
33http//www.census.gov/prod/2002pubs/censr-4.pdf
34http//www.census.gov/prod/2003pubs/censr-10.pdf
35http//www.census.gov/prod/2003pubs/censr-10.pdf
36http//www.census.gov/prod/2001pubs/c2kbr01-10.pdf
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38http//www.census.gov/prod/2002pubs/censr-4.pdf
39http//www.census.gov/prod/2004pubs/p20-549.pdf
40http//www.census.gov/prod/2004pubs/censr-19.pdf
41Summary
- State-of-the-art
- Air pollution programs fragmented by law and
institutional history - Criteria pollutants separated from toxic
pollutants - Level of knowledge varies widely
- Criteria gt HAPs
- Cancer gt noncancer
- Health gt eco
- Analyses and projections tend to be specific to
decisions rather than general to the entire
program
42Summary
- Criteria Pollutants
- O3 and PM present most of the health risk
- Emissions and ambient levels
- Have improved substantially over the last 10-20
years - despite huge growth in population, GNP, and
energy use - Information quality
- Vast monitoring network, gt 1000 stations for most
important - Annual emission inventories
- Regular analyses of past AQ trends
- Sporadic projection analyses that generally show
substantial further improvements are attainable
43Summary
- Hazardous Air Pollutants
- MACT program has decreased emissions
- ca. 3-fold by mass
- ca. 2-fold by toxicity-adjusted mass
- Made most gains in major and mobile sources
- Emission projections show gains starting to erode
by 2010 - NATA
- First analysis of entire air toxics universe
- Identified most important HAPs nationally
(benzene, acrolein, POM, butadiene, Cr,
naphthalene, chlorine, etc.) - NATA too new to determine trends
- NATA not yet used for projections
- First use due soon, however
- Unlikely to overestimate actual exposures
44Summary
- Interaction of air pollution with aging
population - More people gt65 than ever before trend
continuing - Exposure to air pollution may differ because
- Different behaviors
- Relocation pattern representation in population
- Tendency to live in areas of moderate air
pollution - Less likely to relocate
- Longer exposure durations
- Less likely to leave the house
- Exposure moderated less by daily activity
patterns - Different gender makeup
- Potentially more susceptible to health effects