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Multiple exposure pathways and health risk assessment of potentially harmful elements for children and adults living in a coal region in Brazil.

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  • معلومة اضافية
    • المصدر:
      Publisher: Kluwer Academic Publishers Country of Publication: Netherlands NLM ID: 8903118 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2983 (Electronic) Linking ISSN: 02694042 NLM ISO Abbreviation: Environ Geochem Health Subsets: MEDLINE
    • بيانات النشر:
      Publication: 1999- : Dordrecht : Kluwer Academic Publishers
      Original Publication: Kew, Surrey : Science and Technology Letters, 1985-
    • الموضوع:
    • نبذة مختصرة :
      Energy generated by coal can contaminate the environment by releasing toxic elements, including metals. The human health risk assessment (HHRA) associated with geographic information system (GIS) tools can assist the management of contaminated areas, such as coal mining areas. The objective of the study was to carry out the assessment and spatialization of the risk to human health of potentially hazards elements (PHEs) in the soil for children and adults, from multiple exposure routes (oral, inhalation and dermal) in the Candiota mines, largest coal mining region of Brazil. The non-carcinogenic risks (HQ) of PHEs (Cu, Pb, Zn, Ni, Cr, Fe, Mn, Cd, As and Se) and carcinogenic risks of As were estimated and spatialized. The results revealed a risk for children exposure to Mn, with greatest contribution through dermal route. Mn (HQ derm 72.41-96.09% and HQ inh 40.84-82.52%) and Fe (HQ o 43.90-81.44%) were the metals with greatest contribution to human health risk among studied population. As did not present carinogenic risk to adults. The spatial distribution of non-carcinogenic risk showed that Cr, As, Fe, Pb, Ni, Zn and Cu have higher HInc close to the coal mining areas, while Mn, Se and Cd have the highest HInc values in surrounding municipalities (Pinheiro Machado; Pedras Altas and Hulha Negra). The use of HHRA associated with GIS tools provides important elements for decision-making in the management of contaminated sites, indicating chemical elements, locations, routes of exposure and priority target populations.
      (© 2022. The Author(s), under exclusive licence to Springer Nature B.V.)
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    • Grant Information:
      001 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; PRINT Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; 310856/2020-5 Conselho Nacional de Desenvolvimento Científico e Tecnológico
    • Contributed Indexing:
      Keywords: Candiota; Contaminated soil; GIS; Metals; Probability
    • الرقم المعرف:
      0 (Metals, Heavy)
      00BH33GNGH (Cadmium)
      0 (Coal)
      2P299V784P (Lead)
      0 (Soil Pollutants)
      0 (Soil)
    • الموضوع:
      Date Created: 20220329 Date Completed: 20230131 Latest Revision: 20230202
    • الموضوع:
      20240829
    • الرقم المعرف:
      10.1007/s10653-022-01234-8
    • الرقم المعرف:
      35347513