Advanced mineral magnetic and geochemical investigations of road dusts for assessment of pollution in urban areas near the largest copper smelter in SE Europe

被引:31
|
作者
Jordanova, Neli [1 ]
Jordanova, Diana [1 ]
Tcherkezova, Emilia [1 ]
Georgieva, Bozhurka [1 ]
Ishlyamski, Daniel [1 ]
机构
[1] Bulgarian Acad Sci, Natl Inst Geophys Geodesy & Geog, Acad G Bochev Str,Block 3, Sofia 1113, Bulgaria
关键词
Road dust; Copper smelter; Arsenic; Magnetic susceptibility; Heavy metals; Health risk; HEAVY-METAL POLLUTION; FREQUENCY-DEPENDENT SUSCEPTIBILITY; STREET DUST; RISK-ASSESSMENT; TOXIC ELEMENTS; HEALTH-RISKS; POWER-PLANTS; SOILS; CONTAMINATION; ROCK;
D O I
10.1016/j.scitotenv.2021.148402
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study aims to evaluate the urban pollution by combined magnetometric and geochemical analyses on road dusts from three towns in the vicinity of Cu-smelter and ore mining. A collection of 117 road dust samples was investigated for their magnetic characteristics (magnetic susceptibility (chi), frequency dependent susceptibility, anhysteretic and isothermal (IRM) remanences), IRM step-wise acquisition and thermal demagnetization. Coarse grained magnetite and hematite were identified as major iron oxides in the emissions from ore spills and smelter, while traffic-related magnetic minerals were finer magnetite grains. Degree of pollution is assessed by geo-accumulation index, enrichment factor and Pollution Load Index (PLI) for a set of potentially toxic elements (PTEs). Using the geochemical data, we evaluate the carcinogenic and non-carcinogenic health risks for the population. Our results show that dust emissions from the industrial facilities likely pose significant health hazard for adults and children caused largely by Arsenic pollution in "hot spots". Based on the strong correlation between chi and most of the PTEs, detailed variations in pollution degree inside the urban areas are inferred. Strong linear regression between chi and PLI allows designating limit susceptibility values, corresponding to the PLI categories. This approach can be successfully applied for monitoring and mapping purposes at high spatial and temporal resolution. (C) 2021 Elsevier B.V. All rights reserved.
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页数:17
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