Journal
JOURNAL OF HAZARDOUS MATERIALS
Volume 412, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jhazmat.2021.125262
Keywords
Arsenic; Heavy metal; Incremental Lifetime Cancer Risk; Hazard Index; Pollution; Atomic Absorption Spectrometry
Categories
Funding
- University of Ilorin
- Nigeria IBR TET- Fund program
- SDA award
Ask authors/readers for more resources
The study found significant arsenic pollution due to mining activities in parts of North-central Nigeria, with very low bioaccumulation factors and ingestion pathway being the dominant exposure pathway. The non-cancerous risk of arsenic in drinking water is high, confirmed by the Hazard Index (HI) values. The Incremental Lifetime Cancer Risk is classified as level II to level III for soil and grain samples, and level VI to level VII for water samples, indicating high cancer risks.
This study evaluates health risks associated with Arsenic due to mining activities in parts of North-central Nigeria. 306 samples of soil, water and guinea corn were collected for analysis using Atomic Absorption Spectrometry. The analysis reveals varying concentration of Arsenic that is in most cases, above the acceptable limits of consumption, signifying evidence of pollution. The estimated pollution evaluation indices indicates evidence of pollution due to the mining activities. The estimated values of the bioaccumulation factors are very low. The Average Daily Intake reveals that ingestion pathway is the dominant pathway of exposure. While most of the Hazard Index (HI) estimated for the soil and grain samples are ? 1, the HI estimated for the water is ?1. This therefore, means that the probable non-cancerous effect of Arsenic in the drinking water is high. Based on the Delphii method of classification, the Incremental Lifetime Cancer Risk ranges between level II and level III for the soil and grain samples and between level VI and level VII for the water samples within the study sites. This high cancer risks was confirmed by the mean, 5th and 95th percentiles of the cumulative probabilities using the Monte Carlo simulation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available