Eco-partitioning and indices of heavy metal accumulation in sediment and Tilapia zillii fish in water catchment of River Niger at Ajaokuta, North Central Nigeria

International Journal of Physical Sciences

Olatunde Stephen Olatunji¹ 

关键词: Partitioning;    accumulation indices;    heavy metals;    fish fillet;    bottom sediment.;   

DOI  :  10.5897/IJPS2013.3912

学科分类：物理（综合）

来源: Academic Journals

【 摘 要 】

In this study the distribution and accumulation indices of some heavy metals in sediments andTilapia zilliifish in freshwater catchment of River Niger by Ajaokuta Steel Company (ASC), North Central Nigeria were investigated. Water, bottom sediments andTilapia zilliifish samples werecollected upstream and downstream of the drainage column by ASC, Ajaokuta. The sample were digested according to standard methods and analysed for Cd, Mn, Cr, Ni, Cu, Zn and Pb using flame atomic absorption spectrometer. Accumulation indicesor factor (AI or AF) of the investigated heavy metals were defined using the ratio of mean concentration Coin component/organism and that in the surrounding water Cwat steady state (AI/AF = Co/Cw). Sediment accumulation indices (AI) of the metals were: Cd, 5.4; Mn, 3.4; Cr, 1.6; Ni, 12.5; Cu, 1.6; Zn, 25.9 and Pb, 411.6, while the AI of the metals in fillets ofT. zilliiwere Cd, 3.0; Mn, 2.1; Cr, 1.6; Ni, 5.1; Cu, 4.6; Zn, 3.2 and Pb, 14.0. Seasonal climate changes induces littlemarginal or no changes in the AIs of the metals except forPb (841.5, 411.6) and Cd (11.6, 5.4) in sediment, and Pb (32, 14) and Cd (5.3, 3.0) (p<0.05) in fish fillets. Thus significant changes in metal AIs may be the consequence of their concentration levels in the aquatic ecosystem.Therefore, accumulation indices or factors may be an estimate of ecosystem status, and may be a useful tool for monitoring and predictive risk assessment (MPRA) purposes.

【 授权许可】

CC BY