NYC 9/11 Public Portal Document
California EPA’s (CAL-EPA) Acute Risk Levels demonstrates that the benchmark levels
developed are categorically more stringent than the Cal-EPA’s analogous acute levels.
Developing Risk-Based Criteria for Dust
Wipe sampling is a common technique used to estimate the amount of exposure that occurs from
contact with contaminated surfaces. There is no established national guidance, and very little
scientific literature, for the estimation of risks from wipe samples. The EPA approach used in
this report was developed by the EPA Superfiind program, and is consistent with evaluations
found in literature. The approach involves analyzing the wipe sample for the concentration of the
contaminant on the indoor surface, estimating the exposure to that contaminant concentration to
determine dose in the body, and using this information to estimate risk.
Exposure to a contaminant on an indoor surface is estimated by calculating 1) the amount of the
contaminant that is deposited on the skin touching the surface, 2) the fraction that is then
transferred from the skin to the mouth, and 3) the fraction that is absorbed by the skin into the
body. The three equations are as follows [Radian International 1999]:
1) Ds = C X SA X CF X FTSS x EF x ED
Ds = Amount of chemical deposited on skin (mg)
C = Concentration of chemical on contaminated surface (mg/cm2)
SA = Exposed skin surface area (cm2)
CF = Contact frequency of skin against surface (1/day)
FTSS = Fraction transferred from surface to skin
EF = Exposure frequency (days/year)
ED = Exposure duration (years)
2) Do = (Ds X FTSM x ABSo)/(BW x AT)
Do = Oral dose (mg/kg/day)
FTSM = Fraction transferred from skin to mouth
ABSo = Oral absorption fraction
BW = Body weight (kilograms)
AT = Averaging time (days)
3) Dd = (Ds X (1-FTSM) x ABSd)/(BW x AT)
Dd = Dermal dose (mg/kg/day)
FTSM = Fraction transferred from skin to mouth
ABSd = Dermal absorption fraction
BW = Body weight (kilograms)
AT = Averaging time (days)
Several assumptions are incorporated into these equations. They assume that volatilization of the
NYC-WTC_000164844
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