US EPA, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina 27709, United States.
Abt Associates, Division of Health and Environment, Boulder, Colorado 80302, United States.
Environ Sci Technol. 2020 Aug 4;54(15):9474-9482. doi: 10.1021/acs.est.0c00479. Epub 2020 Jul 22.
In recent years, environmental lead (Pb) exposure through drinking water has resulted in community public health concerns. To understand potential impacts on blood Pb levels (BLLs) from drinking water Pb reduction actions (i.e., combinations of lead service lines [LSL] and corrosion control treatment [CCT] scenarios), EPA's Stochastic Human Exposure and Dose Simulation (SHEDS)-Multimedia/Integrated Exposure Uptake and Biokinetic (IEUBK) model was applied for U.S. children aged 0 to <6 years. The results utilizing a large drinking water sequential sampling data set from 15 cities to estimate model input concentration distributions demonstrated lowest predicted BLLs for the "no LSLs" with "combined CCT" scenario and highest predicted BLLs for the "yes LSLs" and "no CCT" scenario. Modeled contribution to BLLs from ingestion of residential drinking water ranged from ∼10 to 80%, with the highest estimated for formula-fed infants (age 0 to <1 year). Further analysis using a "bounding" data set spanning a range of realistic water Pb concentrations and variabilities showed BLL predictions consistent with the sequential sampling-derived inputs. Our study illustrates (1) effectiveness of LSL replacement coupled with CCT for reducing Pb in drinking water and children's BLLs, and (2) in some age groups, under realistic local and residential water use conditions, drinking water can be the dominant exposure pathway.
近年来,通过饮用水摄入环境铅(Pb)引发了社区公共健康问题。为了了解饮用水中 Pb 减少措施(即铅供水管线[LSL]和腐蚀控制处理[CCT]的组合场景)对血铅水平(BLL)的潜在影响,美国环保署的随机人体暴露和剂量模拟(SHEDS)-多媒体/综合暴露摄入和生物动力学(IEUBK)模型被应用于 0 至<6 岁的美国儿童。利用来自 15 个城市的大量饮用水序贯采样数据集来估计模型输入浓度分布的结果表明,在“无 LSLs”和“组合 CCT”场景下,预测的 BLL 最低,而在“有 LSLs”和“无 CCT”场景下,预测的 BLL 最高。饮用水摄入对 BLL 的模型化贡献范围从约 10%到 80%,对于配方奶喂养的婴儿(0 至<1 岁)的估计值最高。使用涵盖一系列现实水质 Pb 浓度和变异性的“边界”数据集进行的进一步分析表明,BLL 预测与序贯采样衍生输入一致。我们的研究说明了(1)LSL 更换与 CCT 结合在降低饮用水和儿童 BLL 中的 Pb 方面的有效性,以及(2)在某些年龄段,在现实的当地和住宅用水条件下,饮用水可能是主要的暴露途径。