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Levels, spatial distribution, risk assessment, and sources of environmental contamination vectored by road dust in Cienfuegos (Cuba) revealed by chemical and C and N stable isotope compositions

机译:Cienfuegos(古巴)中的路尘(古巴)透露的Cienfuegos(古巴)和C和N稳定同位素组合物传染措施的水平,空间分布,风险评估和环境污染来源

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摘要

Road dust is an indicator widely used when monitoring contamination and evaluating environmental and health risks in urban ecosystems. We conducted an exhaustive characterization of road dust samples coupling their chemical characteristics and stable isotope compositions (C and N) with the aim of evaluating the levels and spatial distribution of local contamination as well as to identify its main source(s) in the coastal city of Cienfuegos (Cuba). Results indicate that the concentrations of several elements (total nitrogen, S, Ca, V, Cu, Zn, Mo, Sn, Hg, and Pb) exceed the background values reported for both Cuban soils and the upper continental crust (UCC) and showed a high variability among the sampling sites. We show that road dust contamination in Cienfuegos induces high associated ecological risks. Among the studied elements, Cd and Hg are the major contributors to the environmental contamination in the city, mainly along busy roads and downtown. δ13C and δ15N, coupled to a multivariate statistical analysis, help associate the studied elements to several local sources of contamination: mineral matter derived from local soils, cement plant and related activities, road pavement alteration, power plant, road traffic, and resuspension of particulate organic matter (POM). Our results suggest that incorporating the chemical and isotope monitoring of road dust may help implement more effective environmental management measures in order to reduce their adverse impact on ecosystems and human health.
机译:道路灰尘是在监测城市生态系统中监测污染和评估环境和健康风险时广泛使用的指标。我们对其化学特性和稳定同位素组合物(C和N)进行了耦合的道路粉尘样品的详尽表征,目的是评估局部污染的水平和空间分布,以及识别沿海城市的主要来源Cienfuegos(古巴)。结果表明,几种元素的浓度(总氮,S,Ca,V,Cu,Zn,Mo,Sn,Hg和Pb)超过了古巴土壤和上大陆地壳(UCC)报告的背景值并显示出来采样网站的高度变化。我们展示了Cienfuegos的道路粉尘污染诱导高相关的生态风险。在研究的元素中,CD和HG是该市环境污染的主要贡献者,主要沿着繁忙的道路和市中心。 Δ13c和Δ15n耦合到多变量统计分析,有助于将研究的元素与几个局部污染源相关联:源自当地土壤,水泥厂和相关活动,道路路面改变,发电厂,道路交通和颗粒的重新悬浮有机物(POM)。我们的研究结果表明,纳入化学和同位素监测道路粉尘可能有助于实施更有效的环境管理措施,以减少对生态系统和人类健康的不利影响。

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