Analysis of Heavy Metal Contamination and Risk Assessment in Brewery Effluent-Impacted Areas and Its Impact on Groundwater Quality
Keywords:
Heavy metals, Health risk assessment, Water contamination, Hazard index, Carcinogenic riskAbstract
This study evaluates the human health risks associated with heavy metal contamination in water samples from the study area, focusing on arsenic (As), cadmium (Cd), cobalt (Co), chromium (Cr), nickel (Ni), and lead (Pb). The assessment involved calculating the Average Daily Intake (ADI), Hazard Index (HI), and Incremental Lifetime Cancer Risk (ILCR) for ingestion and dermal exposure pathways. The results revealed that arsenic had the highest mean concentration of 0.0453 mg/L, followed by cobalt (0.075 mg/L) and cadmium (0.012 mg/L), while lead had the lowest concentration at 0.0035 mg/L. The ADI for ingestion (ADIing_{\text{ing}}ing) ranged from 9.98 × 10⁻¹⁰ mg/kg-day (Pb) to 1.29 × 10⁻⁸ mg/kg-day (As), while the ADI for dermal exposure (ADIderm_{\text{derm}}derm) varied from 3.65 × 10⁻⁹ mg/kg-day (Pb) to 4.73 × 10⁻⁸ mg/kg-day (As). The hazard index analysis showed that arsenic had the highest HI value of 5.32 × 10⁻⁵, indicating a significant non-carcinogenic risk, with chromium also showing notable dermal toxicity (HI = 2.68 × 10⁻³). The ILCR values revealed that arsenic posed the highest carcinogenic risk (1.92 × 10⁻⁷), surpassing the values for chromium (1.10 × 10⁻⁹) and lead (8.48 × 10⁻¹²). Although the ILCR values remained below the acceptable risk threshold of 1 × 10⁻⁶, the elevated arsenic concentration suggests a potential long-term health threat. These findings highlight the need for regular monitoring, implementation of arsenic mitigation strategies, and stricter environmental regulations to prevent heavy metal contamination in water sources.
Published
Issue
Section
License
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Most read articles by the same author(s)
- Benjamin. O. Onwurah, Kelechi K. Ochommadu, Chisom L. Kelechi, Assessment of Knowledge and Practice of Justification of Medical Exposure Among Healthcare Practitioners in Asaba Specialist Hospital and Federal Medical Centre, Asaba , Applied Science, Computing, and Energy: Vol. 2 No. 1 (2025): VOLUME 2 ISSUE 1
Similar Articles
- Maryjane Nzubechukwu Atuh, Okoche Kelvin Amadi, Innocent Ajah Okoto, Modified and unmodified Banana Peel biochars for simultaneous and efficient adsorption of Procaine penicillin from wastewater. Isotherm studies , Applied Science, Computing, and Energy: Vol. 4 No. 1 (2026): Volume 4 Issue 1
- Amos Abba, Data, Democracy, and Deep Learning: The Transformative Role of AI in Digital Journalism , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Nsentip George Afangide, Abasi-ada Nnabuk Eddy, Quantitative Analysis of Strategic Communication and Media Relations: Data-Driven Approaches for Professional Excellence in Public Engagement , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Forward Nsama, Assessing the Cost-Containment Effectiveness of AI-Based Predictive Models in Reducing Avoidable Readmissions and Overtreatment in U.S. Medicare Hospitals , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Silas Abahia Ihedioha, Bright Okore Osu, Samuel Chidiebere Ani, Modeling Urban Heat Island Dynamics Using Fractional Calculus: A Comparative Study with Classical Heat Diffusion Models , Applied Science, Computing, and Energy: Vol. 4 No. 1 (2026): Volume 4 Issue 1
You may also start an advanced similarity search for this article.