ASSESSMENT OF THE HEAVY METAL POLLUTION OF THE SOIL OF AJAOKUTA STEEL COMPANY, AJAOKUTA, KOGI STATE NIGERIA
DOI:
https://doi.org/10.33003/fjs-2023-0705-2029Keywords:
soil, heavy metals, pHAbstract
Soil samples from different sections of Ajaokuta Steel Complex, Ajaokuta were collected randomly for the analysis of the concentration of selected heavy metals caused by the activities of the iron and steel complex. The results obtained were compared with WHO, NAFDAC and SON standards; and the parameters assessed fall within the permissible limits. The low concentration could be attributed to the fact that the Ajaokuta Steel Company has not been in operation for more than five years. The analysis was done using pH meter and atomic absorption spectrometric technique. The pH of the soil S1 (7.50), S2 (7.60), S3 (7.10) and S5 (7.20) were slightly basic and S4 (6.10) and S6 (6.90) were slightly acidic and the concentration of the heavy metals in ppm were within the permissible range except for Fe which is in a high concentration, which was found to range between 97.4to116.5 mg/Kg. Heavy metal pollutants in the environment are of immense concern globally, so there is need to study and enlighten the habitants of such environments where this giant company is situated as clarified in this study.
References
Box, G.E.P., Jenkins, G.M. (1976), Time Series Analysis. Forecasting and Control. San Francisco: Holden-Da Dark, F.(1976). Investigations of financial exchange instability changes. In1976 Proceedings of the Meetings of the Business and Economic Statistics Section; American Statistical Association: Washington, DC, USA, 177-181
Baillie R.T., Long memory processes and fractional integration in econometrics, Journal of Econometrics, 1996, Vol. 73, pp. 5-59
Ghysels, E., Santa-Clara, P. & Valkanov, R. (2006). Predicting volatility: Getting the most out of return data sampled at different frequencies. Journal of Econometrics, 131(1-2), 59-95.
Engle, R. F., Ghysels, E. and Sohn, B.: 2013, Stock market volatility and macroeconomic fundamentals, Review of Economics and Statistics 95, 776–797.
Bollerslev, T.: 1986, Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics 31, 307–327
Chen, X. and Ghysels, E. (2009). News - good or bad - and its impact on predicting future volatility. Review of Financial Studies (forthcoming).
Tasi’u, M. (2022). Development of symmetric non-linear state-space models. Unpublish Ph.D. Thesis of Department of Statistics, Ahmadu Bello University, Zaria, Nigeria.
Engle, R. F. and Kelly, B.: 2012, Dynamic equicorrelation, Journal of Business and Economic Statistics 30, 212–228
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FUDMA Journal of Sciences