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Scientific reports, 2018-04, Vol.8 (1), p.6482-8, Article 6482
2018
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Autor(en) / Beteiligte
Titel
Environmental Pollution and Related Hazards at Agbara Industrial Area, Ogun State
Ist Teil von
  • Scientific reports, 2018-04, Vol.8 (1), p.6482-8, Article 6482
Ort / Verlag
London: Nature Publishing Group UK
Erscheinungsjahr
2018
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • This study aimed at assessing the environmental pollution and related hazards of industries at Agbara, Ogun State, Nigeria. A total of five sampling points were identified and selected at random. Environmental samples were collected on a weekly basis for duration of 10 weeks. Air pollutants measured were CO 2 , CO, NO, NO x , VOCs, H 2 S, SO 2 , NH 3 , PM 2.5 andPM 10 using standard procedure. Dust and plant samples were also collected and analyzed for heavy metals (Pb, Cr, Cd, Cu and Zn) using the Atomic Absorption Spectrophotometer (AAS). Data was evaluated for descriptive and inferential statistics using SPSS for Windows version 22.0. Air pollution data were also subjected to SPE-risk model. The results of highest measured air parameters were: CO (5.50 ± 2.32 ppm), CO 2 (3.00 ± 2.05%), NO x (0.90 ± 0.32 ppm), NO (0.60 ± 0.52 ppm), PM 10 (0.40 ± 0.52 mg/m 3 ) and PM 2.5 (0.20 ± 0.42 mg/m 3 ). The results of heavy metal concentrations in dust samples were: 57.40 ± 13.28 mg/kg for Cu, 45.36 ± 12.37 mg/kg for Cr, 22.80 ± 17.36 mg/kg for Zn, 13.76 ± 3.08 mg/kg for Pb and 0.32 ± 0.36 mg/kg for Cd. Metal concentrations in plants were: Cu (70.07 ± 16.24 mg/kg), Zn (67.69 ± 14.50 mg/kg), Cr (22.46 ± 9.35 mg/kg), Pb (13.76 ± 3.08 mg/kg) and Cd (2.25 ± 3.04 mg/kg). This study revealed the concentrations of CO 2 , NO x and NO higher than the World Health Organization (WHO) permissible standards while Pb, Cu, Cr, Cd and Zn values in dust samples were also found above the National Environmental Standards and Regulations Enforcement Agency (NESREA) and the WHO standards. Results of SPE-RISK model indicated that CO 2 , CO, Pb, Cu and Zn posed the greatest health risks, while the Principal Component Analysis (PCA) indentified pollutant sources from industrial and vehicle exhaust.
Sprache
Englisch
Identifikatoren
ISSN: 2045-2322
eISSN: 2045-2322
DOI: 10.1038/s41598-018-24810-4
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5915402

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