Urban soils in a historically industrial city: patterns of trace metals in Pittsburgh, Pennsylvania

被引:4
|
作者
Maxim, Alexandra [1 ]
Bain, Daniel J. [1 ]
Burgess, Jonathan [2 ]
机构
[1] Univ Pittsburgh, Dept Geol & Environm Sci, Pittsburgh, PA 15260 USA
[2] Allegheny Cty Conservat Dist, Pittsburgh, PA USA
来源
基金
美国国家科学基金会;
关键词
urban; metals; Pittsburgh; soil; SPATIAL-DISTRIBUTION; LEAD; CONTAMINATION; BALTIMORE; POLLUTION;
D O I
10.1088/2515-7620/ac7cc2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The distribution of legacy heavy metals in industrial city soils is not well documented. Therefore, fundamental details such as the 'background' (i.e., non-road/non-dripline) concentration of trace metals in urban soils are uncertain. While there has been a strong focus on mapping lead contamination near roads and residences, these studies are generally not placed in the context of the urban background. In this study, 'background' distributions of urban relevant trace metals: arsenic, cadmium, copper, lead, and zinc were mapped based on soil samples collected throughout Pittsburgh. Distinct spatial patterns were revealed: contamination is elevated in the eastern portion of the study area, driven by dominant wind patterns and historical coking activities in low-lying areas (paleochannels), areas subject to atmospheric temperature inversions that focus air contamination. The mixing analysis revealed spatial structures in contributions of industrial activities to metal soil contamination. In particular, regions enriched in cadmium relative to zinc (i.e., Zn:Cd<317) were located near historical coking operations, and areas enriched in lead relative to zinc (Pb:Zn>1) were located in areas with historical secondary lead smelters. These results suggest a comprehensive accounting of the trace metals concentrations in background soils has important implications for the assessment of exposure risk in populations residing in historically industrial areas. Relatively sparse sampling of background conditions in urban systems can indicate patterns of legacy contamination and attribute this contamination to historical sources.
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页数:11
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