Estimating Source Apportionment of Heavy Metals Contamination in Surface Soil Based on a Positive Matrix Factorization (PMF) Model around Cerrito Blanco in San Luis Potosi, Mexico

Arnab Saha*, Bhaskar Sen Gupta, Sandhya Patidar, Nadia Martinez-Villegas

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

In recent decades, heavy metal contamination in soils has caused global concern. Quantitative apportionment of heavy metal sources in the surface soil is a complex task. This study indicated a receptor model to evaluate the heavy metal concentrations of various sources for the soil and the related contamination impacts. In this study, the surface soil at the Cerrito Blanco in San Luis Potosi, Mexico was chosen as the case study location to reveal the potential pollution sources of heavy metals. The research suggested the combined use of the positive matrix factorization (PMF) model for the quantitative assessment of contamination sources as well as the spatial distribution techniques for the estimation of the pollution sources. This approach forms the basis for later soil contamination control and treatment. Throughout the study region, a total of thirty-nine samples of surface soil were collected. However, the mean concentration levels of Co, Cr, Cu, Ni, and Pb in the soils were lower than the permissible standards. It was observed that As and Cd were higher than their permissible standard values by around 5.43 and 1.19 times, respectively. The PMF findings demonstrate that the three main diverse sources of heavy metals in this study area’s soils were natural, past mining activities, and industrialisation, as well as groundwater. The concentrations of heavy metals in surface soils were considerably influenced by natural sources, which were generally the main contributing factor. The spatial distribution of soil contamination for heavy metals was also mapped using the geographic information system (GIS) technique.
Original languageEnglish
Article number19
JournalProceedings
Volume87
Issue number1
Early online date30 Nov 2022
DOIs
Publication statusPublished - 2023
Event4th International Electronic Conference on Geosciences 2022 -
Duration: 1 Dec 202215 Dec 2022
https://sciforum.net/event/IECG2022

Keywords

  • heavy metal
  • source apportionment
  • PMF
  • soil contamination
  • GIS

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