Department of Environmental Science, Siena Heights University, 1247 East Siena Heights Drive, Adrian, MI 49221, USA.
Department of Geography, Environment, and Spatial Sciences, Michigan State University, 673 Auditorium Road, Room 207, East Lansing, MI 48824, USA.
Int J Environ Res Public Health. 2017 Nov 23;14(12):1445. doi: 10.3390/ijerph14121445.
: The purpose of this research is to geographically model airborne lead emission concentrations and total lead deposition in the Detroit Metropolitan Area (DMA) from 2006 to 2013. Further, this study characterizes the racial and socioeconomic composition of recipient neighborhoods and estimates the potential for IQ (Intelligence Quotient) loss of children residing there. : Lead emissions were modeled from emitting facilities in the DMA using AERMOD (American Meteorological Society/Environmental Protection Agency Regulatory Model). Multilevel modeling was used to estimate local racial residential segregation, controlling for poverty. Global Moran's I bivariate spatial autocorrelation statistics were used to assess modeled emissions with increasing segregation. : Lead emitting facilities were primarily located in, and moving to, highly black segregated neighborhoods regardless of poverty levels-a phenomenon known as environmental injustice. The findings from this research showed three years of elevated airborne emission concentrations in these neighborhoods to equate to a predicted 1.0 to 3.0 reduction in IQ points for children living there. Across the DMA there are many areas where annual lead deposition was substantially higher than recommended for aquatic (rivers, lakes, etc.) and terrestrial (forests, dunes, etc.) ecosystems. These lead levels result in decreased reproductive and growth rates in plants and animals, and neurological deficits in vertebrates. : This lead-hazard and neighborhood context assessment will inform future childhood lead exposure studies and potential health consequences in the DMA.
这项研究的目的是对 2006 年至 2013 年期间底特律大都市区(DMA)的空气传播铅排放浓度和总铅沉积进行地理建模。此外,本研究还描述了接收社区的种族和社会经济构成,并估计了居住在那里的儿童智商(Intelligence Quotient)下降的可能性。
使用 AERMOD(美国气象学会/环境保护局监管模型)对 DMA 中的排放源进行了铅排放建模。使用多层次模型来估计当地的种族居住隔离情况,并控制贫困因素。全局 Moran's I 双变量空间自相关统计数据用于评估随隔离程度增加的模型排放情况。
铅排放源主要位于高度隔离的黑人社区,且正在向这些社区转移,而不论贫困程度如何——这是一种被称为环境不公的现象。这项研究的结果表明,这些社区三年内空气传播的排放浓度升高,相当于居住在那里的儿童智商下降 1.0 到 3.0 个点。在 DMA 内,许多地区的年铅沉积量远远高于推荐的水生(河流、湖泊等)和陆生(森林、沙丘等)生态系统的水平。这些铅水平会导致植物和动物的繁殖和生长速度下降,以及脊椎动物的神经缺陷。
这项铅危害和社区环境评估将为未来的儿童铅暴露研究以及 DMA 中的潜在健康后果提供信息。