PROJECTION OF HEALTH BENEFITS FROM AMBIENT OZONE REDUCTION RELATED TOTHE USE OF METHYL TERTIARY BUTYL ETHER (MTBE) IN THE REFORMULATED GASOLINE PROGRAM
S. Erdal et al., PROJECTION OF HEALTH BENEFITS FROM AMBIENT OZONE REDUCTION RELATED TOTHE USE OF METHYL TERTIARY BUTYL ETHER (MTBE) IN THE REFORMULATED GASOLINE PROGRAM, Risk analysis, 17(6), 1997, pp. 693-704
To estimate potential public health benefits from ozone (O-3) pollutio
n reduction attributable to the use of methyl tertiary-butyl ether (MT
BE) in gasoline, O-3 dose-response estimates from the biomedical liter
ature were combined with model estimates of O-3 reduction. Modeling em
ployed EPA MOBILE5a and Complex models to predict emission changes, in
dustry AQIRP techniques to predict ambient O-3 changes, and the Nation
al Exposure Model to predict human exposures. Human health effects con
sidered were lung function decrements and respiratory irritant symptom
s (using dose-response functions measured in laboratory and field stud
ies), and increased death rates (using concentration-response function
s inferred statistically from public-health data). Other reported heal
th effects, such as lung inflammation, increases in asthma attacks, an
d hospitalizations, were not addressed because of inadequate dose-resp
onse information. Even for the health responses considered, quantitati
on of improvements due to MTBE use is problematical, because MTBE affe
cts only a small percentage of existing O-3 pollution, and because exp
osure-response relationships are not well understood for population su
bgroups most likely to be affected. Nevertheless, it is reasonable to
conclude that even small MTBE-associated reductions in peak ambient O-
3 levels (1-5 ppb, according to model estimates) should yield consider
able public health benefits. Tens of millions of Americans are potenti
ally exposed to O-3 in the concentration range associated with health
effects. Even if only a small percentage of them are susceptible, any
incremental reduction in O-3 (as with MTBE use) must mitigate or preve
nt effects for a meaningful number of people. Better quantitative esti
mates of benefit must await a more detailed understanding of each link
in the chain of causation.