Prediction of Soil Nitrogen Depeltion in Crude Oil Contaminated Soil in Southern Nigeria

N. L Nwakwasi; B. U Dike; A. N. Nwachukwu; H. U. Nwoke; J. C. Agunwamba

Prediction of Soil Nitrogen Depeltion in Crude Oil Contaminated Soil in Southern Nigeria

N. L Nwakwasi *

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B. U Dike

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A. N. Nwachukwu

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H. U. Nwoke

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J. C. Agunwamba

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Prediction of Soil Nitrogen Depeltion in Crude Oil Contaminated Soil in Southern Nigeria

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Abstract

Oil spillage is a major environmental threat in southsouth of Nigeria where most of the oil exploration and exploitation activities take place. If this goes on unchecked or poorly managed, it will lead to the total annihilation of the ecosystem. The objective of this study is to develop a model for the prediction of soil nitrogen depletion in crude oil contaminated soil with time using regression analysis. Each sample containing 10kg of soil were artificially polluted with 0.5, 1.0, 1.5, 2.0, and 2.5 liters of crude oil (Bonny Light). The Soil Nitrogen concentrations were determined using standard methods. Results show that the concentration of residual soil nitrogen in the soil for all the volumes of crude oil introduced into the soil depleted significantly with time when compared to values obtained for the control sample. The residual concentration in the control soil sample was about three times higher than the concentration obtained for other samples. The results obtained from the derived model were very close to the experimental value. The model is suitable for determining Soil Nitrogen content in crude oil polluted sites.

References

11 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

N. L Nwakwasi, B. U Dike, A. N. Nwachukwu, H. U. Nwoke, J. C. Agunwamba. 2020. "Prediction of Soil Nitrogen Depeltion in Crude Oil Contaminated Soil in Southern Nigeria". Global Journal of Research in Engineering - E: Civil & Structural GJRE-E Volume 20 (GJRE Volume 20 Issue E1).

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GJRE Volume 20 Issue E1

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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Classification

GJRE-E Classification FOR Code: 090599

Submission ReceivedDecember 15, 2019
Peer Review Double Blind
Handling Editor
Accepted January 1, 2020
Published January 15, 2020

Version of record

v1.2

Issue date

April 15, 2020

Language

English

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