Kershaw Suzanne, Gower Stephanie, Rinner Claus, Campbell Monica
Department of Geography, Ryerson University, Toronto, Ontario, Canada.
Geospat Health. 2013 May;7(2):265-78. doi: 10.4081/gh.2013.85.
Numerous environmental justice studies have confirmed a relationship between population characteristics such as low-income or minority status and the location of environmental health hazards. However, studies of the health risks from exposure to harmful substances often do not consider their toxicological characteristics. We used two different methods, the unit-hazard and the distance-based approach, to evaluate demographic and socio-economic characteristics of the population residing near industrial facilities in the City of Toronto, Canada. In addition to the mass of air emissions obtained from the national pollutant release inventory (NPRI), we also considered their toxicity using toxic equivalency potential (TEP) scores. Results from the unit-hazard approach indicate no significant difference in the proportion of low-income individuals living in host versus non-host census tracts (t(107) = 0.3, P = 0.735). However, using the distance-based approach, the proportion of low-income individuals was significantly higher (+5.1%, t(522) = 6.0, P <0.001) in host tracts, while the indicator for "racialized" communities ("visible minority") was 16.1% greater (t(521) = 7.2, P <0.001) within 2 km of a NPRI facility. When the most toxic facilities by non-carcinogenic TEP score were selected, the rate of visible minorities living near the most toxic NPRI facilities was significantly higher (+12.9%, t(352) = 3.5, P = 0.001) than near all other NPRI facilities. TEP scores were also used to identify areas in Toronto that face a double burden of poverty and air toxics exposure in order to prioritise pollution prevention.
众多环境正义研究证实了诸如低收入或少数族裔身份等人口特征与环境健康危害的位置之间存在关联。然而,关于接触有害物质对健康风险的研究往往未考虑其毒理学特征。我们运用两种不同方法,即单位风险法和基于距离的方法,来评估加拿大多伦多市工业设施附近居民的人口统计学和社会经济特征。除了从国家污染物排放清单(NPRI)获取的空气排放总量外,我们还使用毒性当量潜力(TEP)分数来考量其毒性。单位风险法的结果表明,居住在宿主普查区与非宿主普查区的低收入个体比例无显著差异(t(107) = 0.3,P = 0.735)。然而,使用基于距离的方法时,宿主普查区低收入个体的比例显著更高(+5.1%,t(522) = 6.0,P <0.001),而在NPRI设施2公里范围内,“种族化”社区(“可见少数群体”)的指标高出16.1%(t(521) = 7.2,P <0.001)。当按非致癌TEP分数选出毒性最强的设施时,居住在毒性最强的NPRI设施附近的可见少数群体比例显著高于(+12.9%,t(352) = 3.5,P = 0.001)所有其他NPRI设施附近。TEP分数还被用于识别多伦多面临贫困和空气有毒物质暴露双重负担的区域,以便确定污染预防的优先次序。