T. Beer et Pf. Ricci, A quantitative risk assessment method based on population and exposure distributions using Australian air quality data, ENVIRON INT, 25(6-7), 1999, pp. 887-898
This paper develops a practical probabilistic method for assessing aggregat
e population health risks from different types of population exposures. The
method consists of calculating the product of two functions: a population-
weighted distribution of concentrations and a concentration-response distri
bution. This operation yields the corresponding aggregated health-risk dist
ribution function. The method can use alternative exposure-response distrib
utions and populations-specific exposure patterns, depending on the context
of the assessment. A deterministic sensitivity analysis is included in the
methodological aspects of this research. The distributions of concentratio
ns are generated by combining area-specific population densities with atmos
pheric concentrations for each of the areas where exposure to air pollutant
s occurs. The exposure-response functions are developed from the literature
. The method is exemplified using alternative exposure probabilities to car
bon monoxide, nitrogen dioxide, particulate matter (PM10), and exposure-res
ponse models developed specifically for these pollutants for assessing heal
th risks, and applied to data from a number of Australian cities. The resul
ts, which hold when the functions are monotonic, show single maximum per po
llutant, regardless of the choice of exposure and exposure-response distrib
ution. Although those maxima are often below the Australian Air Pollution S
tandards, there are instances when this is not the case. (C) 1999 Elsevier
Science Ltd.