Burwell-Naney Kristen, Zhang Hongmei, Samantapudi Ashok, Jiang Chengsheng, Dalemarre Laura, Rice LaShanta, Williams Edith, Wilson Sacoby
Maryland Institute for Applied Environmental Health (MIAEH), School of Public Health, University of Maryland, College Park, MD, USA.
Environ Health. 2013 Nov 6;12:96. doi: 10.1186/1476-069X-12-96.
According to the US Environmental Protection Agency (EPA), Superfund is a federal government program implemented to clean up uncontrolled hazardous waste sites. Twenty-six sites in South Carolina (SC) have been included on the National Priorities List (NPL), which has serious human health and environmental implications. The purpose of this study was to assess spatial disparities in the distribution of Superfund sites in SC.
The 2000 US census tract and block level data were used to generate population characteristics, which included race/ethnicity, socioeconomic status (SES), education, home ownership, and home built before 1950. Geographic Information Systems (GIS) were used to map Superfund facilities and develop choropleth maps based on the aforementioned sociodemographic variables. Spatial methods, including mean and median distance analysis, buffer analysis, and spatial approximation were employed to characterize burden disparities. Regression analysis was performed to assess the relationship between the number of Superfund facilities and population characteristics.
Spatial coincidence results showed that of the 29.5% of Blacks living in SC, 55.9% live in Superfund host census tracts. Among all populations in SC living below poverty (14.2%), 57.2% were located in Superfund host census tracts. Buffer analyses results (0.5mi, 1.0mi, 5.0mi, 0.5km, 1.0km, and 5.0km) showed a higher percentage of Whites compared to Blacks hosting a Superfund facility. Conversely, a slightly higher percentage of Blacks hosted (30.2%) a Superfund facility than those not hosting (28.8%) while their White counterparts had more equivalent values (66.7% and 67.8%, respectively). Regression analyses in the reduced model (Adj. R2 = 0.038) only explained a small percentage of the variance. In addition, the mean distance for percent of Blacks in the 90th percentile for Superfund facilities was 0.48mi.
Burden disparities exist in the distribution of Superfund facilities in SC at the block and census tract levels across varying levels of demographic composition for race/ethnicity and SES.
根据美国环境保护局(EPA)的说法,超级基金是一项由联邦政府实施的计划,旨在清理未受控制的危险废物场地。南卡罗来纳州(SC)的26个场地已被列入国家优先清单(NPL),这对人类健康和环境具有严重影响。本研究的目的是评估南卡罗来纳州超级基金场地分布的空间差异。
使用2000年美国人口普查区和街区层面的数据来生成人口特征,包括种族/民族、社会经济地位(SES)、教育程度、房屋所有权以及1950年以前建造的房屋。地理信息系统(GIS)用于绘制超级基金设施地图,并根据上述社会人口变量绘制分级统计图。采用空间方法,包括均值和中位数距离分析、缓冲区分析和空间近似法来描述负担差异。进行回归分析以评估超级基金设施数量与人口特征之间的关系。
空间重合结果显示,居住在南卡罗来纳州的黑人中有29.5%居住在超级基金所在的人口普查区。在南卡罗来纳州所有生活在贫困线以下的人口(14.2%)中,57.2%位于超级基金所在的人口普查区。缓冲区分析结果(0.5英里、1.0英里、5.0英里、0.5公里、1.0公里和5.0公里)显示,与居住在超级基金设施附近的黑人相比,白人的比例更高。相反,居住在超级基金设施附近的黑人比例(30.2%)略高于未居住在附近的黑人(28.8%),而他们的白人对应比例则更为接近(分别为66.7%和67.8%)。简化模型中的回归分析(调整后R² = 0.038)仅解释了一小部分方差。此外,处于超级基金设施第90百分位的黑人百分比的平均距离为0.48英里。
在南卡罗来纳州,超级基金设施的分布在街区和人口普查区层面存在负担差异,涉及不同种族/民族和社会经济地位的人口构成水平。