NYC 9/11 Public Portal Document
DRAFT
RBC = TR * (EPC / Risk)
Where;
RBC = Risk-based Concentration (fibers/mL)
TR = Target Risk (unitless)
EPC = Exposure Point Concentration (fibers/mL)
Risk = Risk resulting from input of EPC into exposure assessment models (unitless)
Uncertainty
The main source of uncertainty stems from the analytical techniques used to determine
asbestos concentration in air. In the studies referenced in IRIS, Phase Contrast
Microscopy (PCM) was used to provide asbestos in air concentrations for determination
of the unit risk factor. The criteria used to identify fibers, using PCM methodology, do
not distinguish between asbestos fibers and other fibers. While it is most appropriate to
used PCM data in risk assessments that employ the unit risk factor listed in IRIS, it is
possible that airborne asbestos concentrations provided by PCM would cause an
overestimation of risk if other fiber types were present.
Transmission Electron Microscopy (TEM) is selective for asbestos; however, the
asbestos IRIS file states that the correlation between PCM and TEM results is difficult to
pin down. The effect of applying the unit risk factor listed in IRIS to TEM results can
result in either an overestimation or underestimation of risk. The IRIS file also cautions
against using the listed unit risk factor with airborne asbestos greater than 0.04 fibers/mL
citing uncertainty in the dose-response curve.
Four of the data points from the FDNY data set are TEM results reported in structures per
square centimeter (s/cc). In some studies, the structure of the asbestos fiber is considered
a factor in its ability to cause cancer. Asbestos analysis by TEM reporting results in s/cc
does not provide a distinction between fibers and particles. As a result, in some cases, the
use of TEM data reported in s/cc would tend to overestimate the cancer risk. Further, the
IRIS file for asbestos does not provide quantitative data for assessing other health
endpoints, such as asbestosis. The lack of such data prohibits this risk assessment from
quantitatively evaluating asbestosis as a health endpoint resulting in an underestimation
of risk.
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