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Lead Human Exposure and Health Risk Assessments for Selected ...

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concentration conversion algorithm may contribute to overestimate of dust Pb. It is<br />

not know to what extent these two biases cancel out each other. Overall comparison<br />

of indoor dust Pb concentrations generated <strong>for</strong> the three case studies against available<br />

empirical data suggest that: (a) <strong>for</strong> the general urban case study, estimates fall within<br />

the range of measured values from a national-scale study, adding confidence to the<br />

estimates, (b) central tendency estimates <strong>for</strong> the primary Pb smelter also fall within<br />

the range <strong>for</strong> the national-scale dataset referenced above <strong>for</strong> the general urban case<br />

study <strong>and</strong> high-end estimates seem to fit with available data near smelters, <strong>and</strong> (c)<br />

comparison of estimates <strong>for</strong> the secondary Pb smelter against empirical data suggest<br />

that these estimates may be biased low.<br />

• Evaluation of c<strong>and</strong>idate blood Pb models: A number of per<strong>for</strong>mance evaluations<br />

were completed on the two c<strong>and</strong>idate blood Pb models considered <strong>for</strong> this analysis<br />

(IEUBK <strong>and</strong> Leggett). The results of these per<strong>for</strong>mance evaluations, which included<br />

application of both models in replicating national-scale child blood Pb levels<br />

(NHANES IV results) <strong>and</strong> blood Pb levels <strong>for</strong> an urban child cohort, suggested that<br />

the Leggett model consistently over-predicted blood Pb levels by a factor of 3 to 6,<br />

while IEUBK estimates were usually within a factor of 2. These findings resulted in<br />

our selecting the IEUBK model as primary blood Pb model <strong>for</strong> this assessment, with<br />

the Leggett model being reserved <strong>for</strong> application in the sensitivity analysis. Note also<br />

that the empirical Lanphear Pb model was considered <strong>for</strong> use in the analysis but not<br />

selected because the child cohort to which it applies (16 month olds) does not match<br />

either of the blood Pb metrics used in the analysis (i.e., concurrent or lifetime<br />

average).<br />

• Outdoor air Pb-to-blood Pb ratios: Three sets of outdoor air Pb-to-blood Pb ratios<br />

were derived. These related outdoor ambient air Pb to blood Pb resulting (1)<br />

inhalation pathway only, (2) all recent air pathways (inhalation plus ingestion of<br />

indoor dust Pb predicted to be associated with ambient air Pb levels, with ambient air<br />

potentially included resuspended, previously deposited Pb), <strong>and</strong> (3) all recent <strong>and</strong> past<br />

air pathways (see Section 2.4.3). All ratios were derived prior to application of the<br />

GSD reflecting inter-individual variability in blood Pb levels <strong>and</strong> there<strong>for</strong>e reflect<br />

central tendency blood Pb levels <strong>and</strong> not high-end population percentiles. The<br />

modeled ratios were compared to both empirical data <strong>and</strong> statistically derived ratios<br />

based on a pooled analysis (Section 3.5.2.2). With the exception of the primary Pb<br />

smelter case study recent air ratio using 95 th percentile air concentration <strong>and</strong> the<br />

general urban case study recent air ratios <strong>for</strong> the hybrid dust model, the ratios <strong>for</strong><br />

recent air contribution to concurrent blood Pb level (Table 3-24) generated <strong>for</strong> the<br />

July 2007 4-38 Draft – Do Not Quote or Cite

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