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Author Ola, I.; Drebenstedt, C.; Burgess, R.M.; Mensah, M.; Hoth, N.; Okoroafor, P.; Külls, C. url  doi
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  Title Assessing petroleum contamination in parts of the Niger Delta based on a sub-catchment delineated field assessment Type Journal Article
  Year 2024 Publication Environmental Monitoring and Assessment Abbreviated Journal (up)  
  Volume 196 Issue 6 Pages 585  
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  Abstract The Niger Delta in Nigeria is a complex and heavily contaminated area with over 150,000 interconnected contaminated sites. This intricate issue is compounded by the region’s strong hydrological processes and high-energy environment, necessitating a science-based approach for effective contamination assessment and management. This study introduces the concept of sub-catchment contamination assessment and management, providing an overarching perspective rather than addressing each site individually. A description of the sub-catchment delineation process using the digital elevation model data from an impacted area within the Delta is provided. Additionally, the contamination status from the delineated sub-catchment is reported. Sediment, surface water and groundwater samples from the sub-catchment were analyzed for total petroleum hydrocarbons (TPH) and polycyclic aromatic hydrocarbons (PAHs), respectively. Surface sediment TPH concentrations ranged from 129 to 20,600 mg/kg, with subsurface (2-m depth) concentrations from 15.5 to 729 mg/kg. PAHs in surface and subsurface sediment reached 9.55 mg/kg and 0.46 mg/kg, respectively. Surface water exhibited TPH concentrations from 10 to 620 mg/L, while PAHs ranged from below detection limits to 1 mg/L. Groundwater TPH concentrations spanned 3 to 473 mg/L, with total PAHs varying from below detection limits to 0.28 mg/L. These elevated TPH and PAH levels indicate extensive petroleum contamination in the investigated sediment and water environment. Along with severe impacts on large areas of mangroves and wetlands, comparison of TPH and PAH concentrations with sediment and water quality criteria found 54 to 100% of stations demonstrated exceedances, suggesting adverse biological effects on aquatic and sediment biota are likely occurring.  
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  ISSN 1573-2959 ISBN Medium  
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  Notes Approved no  
  Call Number THL @ christoph.kuells @ Ola2024 Serial 290  
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Author Jin, Z.; Külls, C. doi  openurl
  Title FDM based OA-ICOS for high accuracy 13C quantification in gaseous CO2 Type Journal Article
  Year 2020 Publication Earth and Environmental Science Abbreviated Journal (up) EES  
  Volume 446 Issue 3 Pages 032061  
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  Call Number THL @ christoph.kuells @ Jin2020fdm Serial 16  
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