Using pollution indices to develop a risk classification tool for gold mining contaminated soils

Abstract

The presence of potentially toxic elements (PTEs) in soil and plants is a risk factor to human well-being and the environment. Soil and leaves from a traditional medicinal plant, Vachellia karroo, known as the sweet thorn plant, were assessed to determine the extent of pollution by PTEs from gold mine tailings in a case study area of Matjhabeng Local Municipality, South Africa. A risk classification tool was developed using the different indicators of pollution quantified to describe the pollution risk at each sampling site. High concentrations of copper, cadmium, lead, nickel, and zinc were measured in the soil, which exceeded the maximum permissible soil quality limits. The enrichment factor and geoaccumulation index results also confirmed heavy soil pollution by copper, nickel, and zinc, with exceptionally heavy pollution by cadmium and selenium. The PTEs in the soil were in an exchangeable form, with the sweet thorn plant accumulating lead and selenium at toxic levels, which poses a risk to the health of the local people as the plant is used for medicinal purposes. The overall pollution risk classification tool of the sampling sites showed that 17% were high-risk areas, 53% were moderate-risk areas, and 20% of the sites were low-risk areas.

Keywords:

• Bioaccumulation
• enrichment factor
• geoaccumulation index
• heavy metals
• pollutants

Acknowledgements

The authors extend their appreciation to the National Research Foundation (NRF) of South Africa for providing funds for this work (Grant number, UID: 107624), as well as the Central University of Technology.

Disclosure statement

The data that support the findings of this study are available from the corresponding author, GN, upon reasonable request.

Data availability statement

Data for this study will be shared upon reasonable request.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

The funding for this research was provided by the National Research Foundation (NRF) of South Africa (Grant number, UID:107624), and in part by the Central University of Technology, Free State.